BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Shu T, Ning W, Wu D, Xu J, Han Q, Huang M, Zou X, Yang Q, Yuan Y, Bie Y, Pan S, Mu J, Han Y, Yang X, Zhou H, Li R, Ren Y, Chen X, Yao S, Qiu Y, Zhang DY, Xue Y, Shang Y, Zhou X. Plasma Proteomics Identify Biomarkers and Pathogenesis of COVID-19. Immunity 2020;53:1108-1122.e5. [PMID: 33128875 DOI: 10.1016/j.immuni.2020.10.008] [Cited by in Crossref: 46] [Cited by in F6Publishing: 45] [Article Influence: 23.0] [Reference Citation Analysis]
Number Citing Articles
1 Ma J, Deng Y, Zhang M, Yu J. The role of multi-omics in the diagnosis of COVID-19 and the prediction of new therapeutic targets. Virulence 2022;13:1101-10. [PMID: 35801633 DOI: 10.1080/21505594.2022.2092941] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Gutiérrez LJ, Tosso RD, Zarycz MNC, Enriz RD, Baldoni HA. Epitopes mapped onto SARS-CoV-2 receptor-binding motif by five distinct human neutralising antibodies. Molecular Simulation. [DOI: 10.1080/08927022.2022.2111421] [Reference Citation Analysis]
3 Richard VR, Gaither C, Popp R, Chaplygina D, Brzhozovskiy A, Kononikhin A, Mohammed Y, Zahedi RP, Nikolaev EN, Borchers CH. Early prediction of COVID-19 patient survival by targeted plasma multi-omics and machine learning. Mol Cell Proteomics 2022;:100277. [PMID: 35931319 DOI: 10.1016/j.mcpro.2022.100277] [Reference Citation Analysis]
4 Wu S, Xu Y, Zhang J, Ran X, Jia X, Wang J, Sun L, Yang H, Li Y, Fu B, Huang C, Liao P, Sun W. Longitudinal Serum Proteome Characterization of COVID-19 Patients With Different Severities Revealed Potential Therapeutic Strategies. Front Immunol 2022;13:893943. [DOI: 10.3389/fimmu.2022.893943] [Reference Citation Analysis]
5 Tang X, Sun R, Ge W, Mao T, Qian L, Huang C, Kang Z, Xiao Q, Luo M, Zhang Q, Li S, Chen H, Liu W, Wang B, Li S, Lin X, Xu X, Li H, Wu L, Dai J, Gao H, Li L, Lu T, Liang X, Cai X, Ruan G, Xu F, Li Y, Zhu Y, Kong Z, Huang J, Guo T. Enhanced inflammation and suppressed adaptive immunity in COVID-19 with prolonged RNA shedding. Cell Discov 2022;8:70. [PMID: 35879274 DOI: 10.1038/s41421-022-00441-y] [Reference Citation Analysis]
6 Cruz GA, Pott-junior H, Gregorio JP, Liberato ELA, Slywitch Filho G, Boteon TB, dos Santos SDS, Rizzatti FPG, Anibal FDF, Roscani MG. The role of biomarkers in the prediction of mortality in hospitalized patients for COVID-19. F1000Res 2022;11:753. [DOI: 10.12688/f1000research.123223.1] [Reference Citation Analysis]
7 Ward B, Yombi JC, Balligand J, Cani PD, Collet J, de Greef J, Dewulf JP, Gatto L, Haufroid V, Jodogne S, Kabamba B, Pyr dit Ruys S, Vertommen D, Elens L, Belkhir L. HYGIEIA: HYpothesizing the Genesis of Infectious Diseases and Epidemics through an Integrated Systems Biology Approach. Viruses 2022;14:1373. [DOI: 10.3390/v14071373] [Reference Citation Analysis]
8 Ning W, Wei Y, Gao L, Han C, Gou Y, Fu S, Liu D, Zhang C, Huang X, Wu S, Peng D, Wang C, Xue Y. HemI 2.0: an online service for heatmap illustration. Nucleic Acids Res 2022:gkac480. [PMID: 35670661 DOI: 10.1093/nar/gkac480] [Reference Citation Analysis]
9 Acharjee A, Stephen Kingsly J, Kamat M, Kurlawala V, Chakraborty A, Vyas P, Vaishnav R, Srivastava S. Rise of the SARS-CoV-2 Variants: Can proteomics be the silver bullet? Expert Rev Proteomics 2022. [PMID: 35655386 DOI: 10.1080/14789450.2022.2085564] [Reference Citation Analysis]
10 Bao J, Sun R, Ai J, Qian L, Liu F, Wang H, Tan L, Cai X, Shi Y, Liang X, Ge W, Wu J, Chen C, Zhang W, Huang J, Guo T. Proteomic characterization of Omicron SARS-CoV-2 host response. Cell Discov 2022;8:46. [PMID: 35581179 DOI: 10.1038/s41421-022-00418-x] [Reference Citation Analysis]
11 Xia Y, Zhu M, Du Y, Wu Z, Gomi K, Zhang W. Metaproteomics reveals protein composition of multiple saccharifying enzymes in nongxiangxing daqu and jiangxiangxing daqu under different thermophilic temperatures. Int J of Food Sci Tech. [DOI: 10.1111/ijfs.15818] [Reference Citation Analysis]
12 Gu M, Pan H, Yuan Y, Zhou X, Chen L, Wang X, Fang F, Hu L, Xie Y, Shen C. Sera Metabolomics Characterization of Patients at Different Stages in Wuhan Identifies Critical Biomarkers of COVID-19. Front Cell Infect Microbiol 2022;12:882661. [DOI: 10.3389/fcimb.2022.882661] [Reference Citation Analysis]
13 He Y, Wang Z, Wei J, Yang Z, Ren L, Deng Y, Chen S, Zang N, Liu E. Exploring Key Genes and Mechanisms in Respiratory Syncytial Virus-Infected BALB/c Mice via Multi-Organ Expression Profiles. Front Cell Infect Microbiol 2022;12:858305. [DOI: 10.3389/fcimb.2022.858305] [Reference Citation Analysis]
14 He B, Huang Z, Huang C, Nice EC. Clinical applications of plasma proteomics and peptidomics: Towards precision medicine. Proteomics Clin Appl 2022;:e2100097. [PMID: 35490333 DOI: 10.1002/prca.202100097] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Budhraja A, Basu A, Gheware A, Abhilash D, Rajagopala S, Pakala S, Sumit M, Ray A, Subramaniam A, Mathur P, Nambirajan A, Kumar S, Gupta R, Wig N, Trikha A, Guleria R, Sarkar C, Gupta I, Jain D. Molecular signature of postmortem lung tissue from COVID-19 patients suggests distinct trajectories driving mortality. Dis Model Mech 2022;15:dmm049572. [PMID: 35438176 DOI: 10.1242/dmm.049572] [Reference Citation Analysis]
16 Yang N, Wang W, Wen R, Zhang TN, Liu CF. Integrated insights into the mechanisms underlying sepsis-induced myocardial depression using a quantitative global proteomic analysis. J Proteomics 2022;:104599. [PMID: 35483652 DOI: 10.1016/j.jprot.2022.104599] [Reference Citation Analysis]
17 Cai Y, Hao B, Chen J, Li Y, Liu H. Correlation Between Plasma Proteomics and Adverse Outcomes Among Older Men With Chronic Coronary Syndrome. Front Cardiovasc Med 2022;9:867646. [DOI: 10.3389/fcvm.2022.867646] [Reference Citation Analysis]
18 Beltrán-camacho L, Eslava-alcón S, Rojas-torres M, Sánchez-morillo D, Martinez-nicolás MP, Martín-bermejo V, de la Torre IG, Berrocoso E, Moreno JA, Moreno-luna R, Durán-ruiz MC. The serum of COVID-19 asymptomatic patients up-regulates proteins related to endothelial dysfunction and viral response in circulating angiogenic cells ex-vivo. Mol Med 2022;28. [DOI: 10.1186/s10020-022-00465-w] [Reference Citation Analysis]
19 Apostolidis SA, Sarkar A, Giannini HM, Goel RR, Mathew D, Suzuki A, Baxter AE, Greenplate AR, Alanio C, Abdel-Hakeem M, Oldridge DA, Giles JR, Wu JE, Chen Z, Huang YJ, Belman J, Pattekar A, Manne S, Kuthuru O, Dougherty J, Weiderhold B, Weisman AR, Ittner CAG, Gouma S, Dunbar D, Frank I, Huang AC, Vella LA, Reilly JP, Hensley SE, Rauova L, Zhao L, Meyer NJ, Poncz M, Abrams CS, Wherry EJ; UPenn COVID Processing Unit. Signaling Through FcγRIIA and the C5a-C5aR Pathway Mediate Platelet Hyperactivation in COVID-19. Front Immunol 2022;13:834988. [PMID: 35309299 DOI: 10.3389/fimmu.2022.834988] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
20 Li H, Li X, Wu Q, Wang X, Qin Z, Wang Y, He Y, Wu Q, Li L, Chen H. Plasma proteomic and metabolomic characterization of COVID-19 survivors 6 months after discharge. Cell Death Dis 2022;13:235. [PMID: 35288537 DOI: 10.1038/s41419-022-04674-3] [Reference Citation Analysis]
21 D'Onofrio V, Heylen D, Pusparum M, Grondman I, Vanwalleghem J, Meersman A, Cartuyvels R, Messiaen P, Joosten LAB, Netea MG, Valkenborg D, Ertaylan G, Gyssens IC. A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis. J Intensive Care 2022;10:13. [PMID: 35264246 DOI: 10.1186/s40560-022-00602-x] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Pickering C, Zhou B, Xu G, Rice R, Ramachandran P, Huang H, Pham TD, Schapiro JM, Cong X, Chakraborty S, Edwards K, Reddy ST, Guirgis F, Wang TT, Serie D, Lindpaintner K. Differential Peripheral Blood Glycoprotein Profiles in Symptomatic and Asymptomatic COVID-19. Viruses 2022;14:553. [DOI: 10.3390/v14030553] [Reference Citation Analysis]
23 Duan F, Wang Y, Chen T, Zhu Z, Yu M, Dai H, Zheng S, Lu Y, Li T, Qiu X. A novel strategy for identifying biomarker in serum of patient with COVID-19 using immune complex. Sig Transduct Target Ther 2022;7. [DOI: 10.1038/s41392-022-00909-z] [Reference Citation Analysis]
24 Pekayvaz K, Leunig A, Kaiser R, Joppich M, Brambs S, Janjic A, Popp O, Nixdorf D, Fumagalli V, Schmidt N, Polewka V, Anjum A, Knottenberg V, Eivers L, Wange LE, Gold C, Kirchner M, Muenchhoff M, Hellmuth JC, Scherer C, Rubio-Acero R, Eser T, Deák F, Puchinger K, Kuhl N, Linder A, Saar K, Tomas L, Schulz C, Wieser A, Enard W, Kroidl I, Geldmacher C, von Bergwelt-Baildon M, Keppler OT, Munschauer M, Iannacone M, Zimmer R, Mertins P, Hubner N, Hoelscher M, Massberg S, Stark K, Nicolai L. Protective immune trajectories in early viral containment of non-pneumonic SARS-CoV-2 infection. Nat Commun 2022;13:1018. [PMID: 35197461 DOI: 10.1038/s41467-022-28508-0] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
25 Costanzo M, Caterino M, Fedele R, Cevenini A, Pontillo M, Barra L, Ruoppolo M. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19. Int J Mol Sci 2022;23:2414. [PMID: 35269564 DOI: 10.3390/ijms23052414] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
26 Mohammed Y, Goodlett DR, Cheng MP, Vinh DC, Lee TC, Mcgeer A, Sweet D, Tran K, Lee T, Murthy S, Boyd JH, Singer J, Walley KR, Patrick DM, Quan C, Ismail S, Amar L, Pal A, Bassawon R, Fesdekjian L, Gou K, Lamontagne F, Marshall J, Haljan G, Fowler R, Winston BW, Russell JA; ARBs CORONA I. Longitudinal Plasma Proteomics Analysis Reveals Novel Candidate Biomarkers in Acute COVID-19. J Proteome Res 2022. [PMID: 35143212 DOI: 10.1021/acs.jproteome.1c00863] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
27 Alnakli AAA, Jabeen A, Chakraborty R, Mohamedali A, Ranganathan S. A Bioinformatics Approach to Mine the Microbial Proteomic Profile of COVID-19 Mass Spectrometry Data. Applied Microbiology 2022;2:150-64. [DOI: 10.3390/applmicrobiol2010010] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
28 Gong P, Mei F, Li R, Wang Y, Li W, Pan K, Xu J, Liu C, Li H, Cai K, Shi W. Angiotensin-Converting Enzyme Genotype-Specific Immune Response Contributes to the Susceptibility of COVID-19: A Nested Case-Control Study. Front Pharmacol 2021;12:759587. [PMID: 35095487 DOI: 10.3389/fphar.2021.759587] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Turilli ES, Lualdi M, Fasano M. Looking at COVID-19 from a Systems Biology Perspective. Biomolecules 2022;12:188. [DOI: 10.3390/biom12020188] [Reference Citation Analysis]
30 Demichev V, Tober-lau P, Nazarenko T, Lemke O, Kaur Aulakh S, Whitwell HJ, Röhl A, Freiwald A, Mittermaier M, Szyrwiel L, Ludwig D, Correia-melo C, Lippert LJ, Helbig ET, Stubbemann P, Olk N, Thibeault C, Grüning N, Blyuss O, Vernardis S, White M, Messner CB, Joannidis M, Sonnweber T, Klein SJ, Pizzini A, Wohlfarter Y, Sahanic S, Hilbe R, Schaefer B, Wagner S, Machleidt F, Garcia C, Ruwwe-glösenkamp C, Lingscheid T, Bosquillon de Jarcy L, Stegemann MS, Pfeiffer M, Jürgens L, Denker S, Zickler D, Spies C, Edel A, Müller NB, Enghard P, Zelezniak A, Bellmann-weiler R, Weiss G, Campbell A, Hayward C, Porteous DJ, Marioni RE, Uhrig A, Zoller H, Löffler-ragg J, Keller MA, Tancevski I, Timms JF, Zaikin A, Hippenstiel S, Ramharter M, Müller-redetzky H, Witzenrath M, Suttorp N, Lilley K, Mülleder M, Sander LE, Kurth F, Ralser M, Bauer R; PA-COVID-19 Study group. A proteomic survival predictor for COVID-19 patients in intensive care. PLOS Digit Health 2022;1:e0000007. [DOI: 10.1371/journal.pdig.0000007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
31 Gorog DA, Storey RF, Gurbel PA, Tantry US, Berger JS, Chan MY, Duerschmied D, Smyth SS, Parker WAE, Ajjan RA, Vilahur G, Badimon L, Berg JMT, Cate HT, Peyvandi F, Wang TT, Becker RC. Current and novel biomarkers of thrombotic risk in COVID-19: a Consensus Statement from the International COVID-19 Thrombosis Biomarkers Colloquium. Nat Rev Cardiol 2022. [PMID: 35027697 DOI: 10.1038/s41569-021-00665-7] [Cited by in Crossref: 17] [Cited by in F6Publishing: 7] [Article Influence: 17.0] [Reference Citation Analysis]
32 Calvet J, Berenguer-Llergo A, Gay M, Massanella M, Domingo P, Llop M, Sánchez-Jiménez E, Arévalo M, Carrillo J, Albiñana N, Arauz-Garofalo G, Orellana C, Delgado JF, Serrano A, Llobell A, Graell E, García-Manrique M, Moreno M, Galisteo C, Casado E, Navarro N, Gómez A, Garcia-Cirera S, Rusiñol M, Costa E, Clotet B, Vilaseca M, Blanco J, Gratacós J. Biomarker candidates for progression and clinical management of COVID-19 associated pneumonia at time of admission. Sci Rep 2022;12:640. [PMID: 35022497 DOI: 10.1038/s41598-021-04683-w] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
33 Xiong Y, Zheng Y, Yan Y, Yao J, Liu H, Shen F, Kong S, Yang S, Yan G, Zhao H, Zhou X, Hu J, Zhou B, Jin T, Shen H, Leng B, Yang P, Liu X. Circulating proteomic panels for risk stratification of intracranial aneurysm and its rupture. EMBO Mol Med 2022;:e14713. [PMID: 34978375 DOI: 10.15252/emmm.202114713] [Reference Citation Analysis]
34 Amiri-Dashatan N, Koushki M, Rezaei-Tavirani M. Mass Spectrometry-Based Proteomics Research to Fight COVID-19: An Expert Review on Hopes and Challenges. OMICS 2022;26:19-34. [PMID: 35005991 DOI: 10.1089/omi.2021.0182] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
35 Ghosh UK, Al Abir F, Rifaat N, Shovan S, Sayeed A, Hasan MAM. Most dominant metabolomic biomarkers identification for lung cancer. Informatics in Medicine Unlocked 2022;28:100824. [DOI: 10.1016/j.imu.2021.100824] [Reference Citation Analysis]
36 Xiong Y, Yao J, Zheng Y, Shen F, Zhao H, Hu J, Leng B, Yang P, Liu X. Comprehensive mass spectrometry for development of proteomic biomarkers of intracranial aneurysms. Talanta 2021;240:123159. [PMID: 34973552 DOI: 10.1016/j.talanta.2021.123159] [Reference Citation Analysis]
37 Guo J, Ge J, Guo Y. Recent advances in methods for the diagnosis of Corona Virus Disease 2019. Clinical Laboratory Analysis. [DOI: 10.1002/jcla.24178] [Reference Citation Analysis]
38 He X, Liu C, Peng J, Li Z, Li F, Wang J, Hu A, Peng M, Huang K, Fan D, Li N, Zhang F, Cai W, Tan X, Hu Z, Deng X, Li Y, Mo X, Li L, Shi Y, Yang L, Zhu Y, Wu Y, Liang H, Liao B, Hong W, He R, Li J, Guo P, Zhuo Y, Zhao L, Hu F, Li W, Zhu W, Zhang Z, Guo Z, Zhang W, Hong X, Cai W, Gu L, Du Z, Zhang Y, Xu J, Zuo T, Deng K, Yan L, Chen X, Chen S, Lei C. COVID-19 induces new-onset insulin resistance and lipid metabolic dysregulation via regulation of secreted metabolic factors. Signal Transduct Target Ther 2021;6:427. [PMID: 34916489 DOI: 10.1038/s41392-021-00822-x] [Reference Citation Analysis]
39 Qiu Y, Wu D, Ning W, Xu J, Shu T, Huang M, Chen R, Zhang J, Han Y, Yang Q, Li R, Yang X, Wang Y, Zou X, Pan S, Huang C, Xue Y, Shang Y, Zhou X. Post-mortem tissue proteomics reveals the pathogenesis of multi-organ injuries of COVID-19. Natl Sci Rev 2021;8:nwab143. [PMID: 34876996 DOI: 10.1093/nsr/nwab143] [Reference Citation Analysis]
40 Liu CH, Lu CH, Lin LT. Pandemic Strategies with Computational and Structural Biology against COVID-19: A Retrospective. Comput Struct Biotechnol J 2021. [PMID: 34900126 DOI: 10.1016/j.csbj.2021.11.040] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
41 Lynch SM, Guo G, Gibson DS, Bjourson AJ, Rai TS. Role of Senescence and Aging in SARS-CoV-2 Infection and COVID-19 Disease. Cells 2021;10:3367. [PMID: 34943875 DOI: 10.3390/cells10123367] [Reference Citation Analysis]
42 Foo SS, Cambou MC, Mok T, Fajardo VM, Jung KL, Fuller T, Chen W, Kerin T, Mei J, Bhattacharya D, Choi Y, Wu X, Xia T, Shin WJ, Cranston J, Aldrovandi G, Tobin N, Contreras D, Ibarrondo FJ, Yang O, Yang S, Garner O, Cortado R, Bryson Y, Janzen C, Ghosh S, Devaskar S, Asilnejad B, Moreira ME, Vasconcelos Z, Soni PR, Gibson LC, Brasil P, Comhair SAA, Arumugaswami V, Erzurum SC, Rao R, Jung JU, Nielsen-Saines K. The systemic inflammatory landscape of COVID-19 in pregnancy: Extensive serum proteomic profiling of mother-infant dyads with in utero SARS-CoV-2. Cell Rep Med 2021;2:100453. [PMID: 34723226 DOI: 10.1016/j.xcrm.2021.100453] [Reference Citation Analysis]
43 Zhang Y, Cai X, Ge W, Wang D, Zhu G, Qian L, Xiang N, Yue L, Liang S, Zhang F, Wang J, Zhou K, Zheng Y, Lin M, Sun T, Lu R, Zhang C, Xu L, Sun Y, Zhou X, Yu J, Lyu M, Shen B, Zhu H, Xu J, Zhu Y, Guo T. Potential Use of Serum Proteomics for Monitoring COVID-19 Progression to Complement RT-PCR Detection. J Proteome Res 2021. [PMID: 34783559 DOI: 10.1021/acs.jproteome.1c00525] [Reference Citation Analysis]
44 Sinha S, Rosin NL, Arora R, Labit E, Jaffer A, Cao L, Farias R, Nguyen AP, de Almeida LGN, Dufour A, Bromley A, McDonald B, Gillrie MR, Fritzler MJ, Yipp BG, Biernaskie J. Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19. Nat Med 2021. [PMID: 34782790 DOI: 10.1038/s41591-021-01576-3] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
45 Chen Y, Zhang N, Zhang J, Guo J, Dong S, Sun H, Gao S, Zhou T, Li M, Liu X, Guo Y, Ye B, Zhao Y, Yu T, Zhan J, Jiang Y, Wong CCL, Gao GF, Liu WJ. Immune response pattern across the asymptomatic, symptomatic and convalescent periods of COVID-19. Biochim Biophys Acta Proteins Proteom 2021;1870:140736. [PMID: 34774760 DOI: 10.1016/j.bbapap.2021.140736] [Reference Citation Analysis]
46 Napolitano F, Xu X, Gao X. Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies. Brief Bioinform 2021:bbab456. [PMID: 34788381 DOI: 10.1093/bib/bbab456] [Reference Citation Analysis]
47 Kotlyar M, Pastrello C, Ahmed Z, Chee J, Varyova Z, Jurisica I. IID 2021: towards context-specific protein interaction analyses by increased coverage, enhanced annotation and enrichment analysis. Nucleic Acids Res 2021:gkab1034. [PMID: 34755877 DOI: 10.1093/nar/gkab1034] [Reference Citation Analysis]
48 Tayara H, Abdelbaky I, To Chong K. Recent omics-based computational methods for COVID-19 drug discovery and repurposing. Brief Bioinform 2021;22:bbab339. [PMID: 34423353 DOI: 10.1093/bib/bbab339] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
49 Shawky AM, El-tohamy M. Signal amplification strategy of label-free ultrasenstive electrochemical immunosensor based ternary Ag/TiO2/rGO nanocomposites for detecting breast cancer biomarker CA 15-3. Materials Chemistry and Physics 2021;272:124983. [DOI: 10.1016/j.matchemphys.2021.124983] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
50 Carapito R, Li R, Helms J, Carapito C, Gujja S, Rolli V, Guimaraes R, Malagon-Lopez J, Spinnhirny P, Lederle A, Mohseninia R, Hirschler A, Muller L, Bastard P, Gervais A, Zhang Q, Danion F, Ruch Y, Schenck M, Collange O, Chamaraux-Tran TN, Molitor A, Pichot A, Bernard A, Tahar O, Bibi-Triki S, Wu H, Paul N, Mayeur S, Larnicol A, Laumond G, Frappier J, Schmidt S, Hanauer A, Macquin C, Stemmelen T, Simons M, Mariette X, Hermine O, Fafi-Kremer S, Goichot B, Drenou B, Kuteifan K, Pottecher J, Mertes PM, Kailasan S, Aman MJ, Pin E, Nilsson P, Thomas A, Viari A, Sanlaville D, Schneider F, Sibilia J, Tharaux PL, Casanova JL, Hansmann Y, Lidar D, Radosavljevic M, Gulcher JR, Meziani F, Moog C, Chittenden TW, Bahram S. Identification of driver genes for critical forms of COVID-19 in a deeply phenotyped young patient cohort. Sci Transl Med 2021;:eabj7521. [PMID: 34698500 DOI: 10.1126/scitranslmed.abj7521] [Cited by in Crossref: 15] [Cited by in F6Publishing: 6] [Article Influence: 15.0] [Reference Citation Analysis]
51 Veleri S. Neurotropism of SARS-CoV-2 and neurological diseases of the central nervous system in COVID-19 patients. Exp Brain Res 2021. [PMID: 34694467 DOI: 10.1007/s00221-021-06244-z] [Reference Citation Analysis]
52 Nassar SF, Raddassi K, Wu T. Single-Cell Multiomics Analysis for Drug Discovery. Metabolites 2021;11:729. [PMID: 34822387 DOI: 10.3390/metabo11110729] [Reference Citation Analysis]
53 Deutsch EW, Omenn GS, Sun Z, Maes M, Pernemalm M, Palaniappan KK, Letunica N, Vandenbrouck Y, Brun V, Tao SC, Yu X, Geyer PE, Ignjatovic V, Moritz RL, Schwenk JM. Advances and Utility of the Human Plasma Proteome. J Proteome Res 2021. [PMID: 34672606 DOI: 10.1021/acs.jproteome.1c00657] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
54 LaSalle TJ, Gonye ALK, Freeman SS, Kaplonek P, Gushterova I, Kays KR, Manakongtreecheep K, Tantivit J, Rojas-Lopez M, Russo BC, Sharma N, Thomas MF, Lavin-Parsons KM, Lilly BM, Mckaig BN, Charland NC, Khanna HK, Lodenstein CL, Margolin JD, Blaum EM, Lirofonis PB, Sonny A, Bhattacharyya RP, Parry BA, Goldberg MB, Alter G, Filbin MR, Villani AC, Hacohen N, Sade-Feldman M. Longitudinal characterization of circulating neutrophils uncovers distinct phenotypes associated with disease severity in hospitalized COVID-19 patients. bioRxiv 2021:2021. [PMID: 34642692 DOI: 10.1101/2021.10.04.463121] [Reference Citation Analysis]
55 Zhang H, Chen Y, Guo Y, Xu W, Wang W, Wu S, Chen W, Huang Y. Label-free quantification proteomics reveals the active peptides from protein degradation during anaerobic fermentation of tea. LWT 2021;150:111950. [DOI: 10.1016/j.lwt.2021.111950] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
56 Yu H, Liu Y, He T, Zhang Y, He J, Li M, Jiang B, Gao Y, Chen C, Ke D, Liu J, He B, Yang X, Wang JZ. Platelet biomarkers identifying mild cognitive impairment in type 2 diabetes patients. Aging Cell 2021;20:e13469. [PMID: 34528736 DOI: 10.1111/acel.13469] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
57 McArdle A, Washington KE, Chazarin Orgel B, Binek A, Manalo DM, Rivas A, Ayres M, Pandey R, Phebus C, Raedschelders K, Fert-Bober J, Van Eyk JE. Discovery Proteomics for COVID-19: Where We Are Now. J Proteome Res 2021;20:4627-39. [PMID: 34550702 DOI: 10.1021/acs.jproteome.1c00475] [Cited by in Crossref: 3] [Article Influence: 3.0] [Reference Citation Analysis]
58 Villar M, Urra JM, Rodríguez-Del-Río FJ, Artigas-Jerónimo S, Jiménez-Collados N, Ferreras-Colino E, Contreras M, de Mera IGF, Estrada-Peña A, Gortázar C, de la Fuente J. Characterization by Quantitative Serum Proteomics of Immune-Related Prognostic Biomarkers for COVID-19 Symptomatology. Front Immunol 2021;12:730710. [PMID: 34566994 DOI: 10.3389/fimmu.2021.730710] [Reference Citation Analysis]
59 Kaiser R, Leunig A, Pekayvaz K, Popp O, Joppich M, Polewka V, Escaig R, Anjum A, Hoffknecht ML, Gold C, Brambs S, Engel A, Stockhausen S, Knottenberg V, Titova A, Haji M, Scherer C, Muenchhoff M, Hellmuth JC, Saar K, Schubert B, Hilgendorff A, Schulz C, Kääb S, Zimmer R, Hübner N, Massberg S, Mertins P, Nicolai L, Stark K. Self-sustaining IL-8 loops drive a prothrombotic neutrophil phenotype in severe COVID-19. JCI Insight 2021;6:e150862. [PMID: 34403366 DOI: 10.1172/jci.insight.150862] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
60 Deng H, Yan X, Yuan L. Human genetic basis of coronavirus disease 2019. Signal Transduct Target Ther 2021;6:344. [PMID: 34545062 DOI: 10.1038/s41392-021-00736-8] [Reference Citation Analysis]
61 Alaiya A, Alshukairi A, Shinwari Z, Al-Fares M, Alotaibi J, AlOmaim W, Alsharif I, Bakheet R, Alharbi L, Allam R, Asiri A, Memish Z, Alromaih K, Al-Mozaini M. Alterations in the Plasma Proteome Induced by SARS-CoV-2 and MERS-CoV Reveal Biomarkers for Disease Outcomes for COVID-19 Patients. J Inflamm Res 2021;14:4313-28. [PMID: 34511970 DOI: 10.2147/JIR.S322430] [Reference Citation Analysis]
62 Zhong L, Zhu L, Cai ZW. Mass Spectrometry-based Proteomics and Glycoproteomics in COVID-19 Biomarkers Identification: A Mini-review. J Anal Test 2021;:1-16. [PMID: 34513131 DOI: 10.1007/s41664-021-00197-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
63 Lee JW, Su Y, Baloni P, Chen D, Pavlovitch-Bedzyk AJ, Yuan D, Duvvuri VR, Ng RH, Choi J, Xie J, Zhang R, Murray K, Kornilov S, Smith B, Magis AT, Hoon DSB, Hadlock JJ, Goldman JD, Price ND, Gottardo R, Davis MM, Hood L, Greenberg PD, Heath JR. Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19. Nat Biotechnol 2021. [PMID: 34489601 DOI: 10.1038/s41587-021-01020-4] [Cited by in Crossref: 5] [Cited by in F6Publishing: 1] [Article Influence: 5.0] [Reference Citation Analysis]
64 Grossegesse M, Leupold P, Doellinger J, Schaade L, Nitsche A. Inactivation of Coronaviruses during Sample Preparation for Proteomics Experiments. J Proteome Res 2021;20:4598-602. [PMID: 34432478 DOI: 10.1021/acs.jproteome.1c00320] [Reference Citation Analysis]
65 Meng Z, Guo S, Zhou Y, Li M, Wang M, Ying B. Applications of laboratory findings in the prevention, diagnosis, treatment, and monitoring of COVID-19. Signal Transduct Target Ther 2021;6:316. [PMID: 34433805 DOI: 10.1038/s41392-021-00731-z] [Reference Citation Analysis]
66 Deng D, Pan C, Wu Z, Sun Y, Liu C, Xiang H, Yin P, Shang D. An Integrated Metabolomic Study of Osteoporosis: Discovery and Quantification of Hyocholic Acids as Candidate Markers. Front Pharmacol 2021;12:725341. [PMID: 34421618 DOI: 10.3389/fphar.2021.725341] [Reference Citation Analysis]
67 Rais Y, Fu Z, Drabovich AP. Mass spectrometry-based proteomics in basic and translational research of SARS-CoV-2 coronavirus and its emerging mutants. Clin Proteomics 2021;18:19. [PMID: 34384361 DOI: 10.1186/s12014-021-09325-x] [Reference Citation Analysis]
68 Memon D, Barrio-Hernandez I, Beltrao P. Individual COVID-19 disease trajectories revealed by plasma proteomics. EMBO Mol Med 2021;13:e14532. [PMID: 34260159 DOI: 10.15252/emmm.202114532] [Reference Citation Analysis]
69 Geyer PE, Arend FM, Doll S, Louiset ML, Virreira Winter S, Müller-Reif JB, Torun FM, Weigand M, Eichhorn P, Bruegel M, Strauss MT, Holdt LM, Mann M, Teupser D. High-resolution serum proteome trajectories in COVID-19 reveal patient-specific seroconversion. EMBO Mol Med 2021;13:e14167. [PMID: 34232570 DOI: 10.15252/emmm.202114167] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
70 Wang C, Li X, Ning W, Gong S, Yang F, Fang C, Gong Y, Wu D, Huang M, Gou Y, Fu S, Ren Y, Yang R, Qiu Y, Xue Y, Xu Y, Zhou X. Multi-omic profiling of plasma reveals molecular alterations in children with COVID-19. Theranostics 2021;11:8008-26. [PMID: 34335977 DOI: 10.7150/thno.61832] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 6.0] [Reference Citation Analysis]
71 Xu B, Lei Y, Ren X, Yin F, Wu W, Sun Y, Wang X, Sun Q, Yang X, Wang X, Zhang R, Li Z, Fang S, Liu J. SOD1 is a Possible Predictor of COVID-19 Progression as Revealed by Plasma Proteomics. ACS Omega 2021;6:16826-36. [PMID: 34250342 DOI: 10.1021/acsomega.1c01375] [Reference Citation Analysis]
72 Völlmy F, van den Toorn H, Zenezini Chiozzi R, Zucchetti O, Papi A, Volta CA, Marracino L, Vieceli Dalla Sega F, Fortini F, Demichev V, Tober-Lau P, Campo G, Contoli M, Ralser M, Kurth F, Spadaro S, Rizzo P, Heck AJ. A serum proteome signature to predict mortality in severe COVID-19 patients. Life Sci Alliance 2021;4:e202101099. [PMID: 34226277 DOI: 10.26508/lsa.202101099] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
73 Moin ASM, Al-Qaissi A, Sathyapalan T, Atkin SL, Butler AE. Type 2 Diabetes Coagulopathy Proteins May Conflict With Biomarkers Reflective of COVID-19 Severity. Front Endocrinol (Lausanne) 2021;12:658304. [PMID: 34248840 DOI: 10.3389/fendo.2021.658304] [Reference Citation Analysis]
74 Demichev V, Tober-Lau P, Lemke O, Nazarenko T, Thibeault C, Whitwell H, Röhl A, Freiwald A, Szyrwiel L, Ludwig D, Correia-Melo C, Aulakh SK, Helbig ET, Stubbemann P, Lippert LJ, Grüning NM, Blyuss O, Vernardis S, White M, Messner CB, Joannidis M, Sonnweber T, Klein SJ, Pizzini A, Wohlfarter Y, Sahanic S, Hilbe R, Schaefer B, Wagner S, Mittermaier M, Machleidt F, Garcia C, Ruwwe-Glösenkamp C, Lingscheid T, Bosquillon de Jarcy L, Stegemann MS, Pfeiffer M, Jürgens L, Denker S, Zickler D, Enghard P, Zelezniak A, Campbell A, Hayward C, Porteous DJ, Marioni RE, Uhrig A, Müller-Redetzky H, Zoller H, Löffler-Ragg J, Keller MA, Tancevski I, Timms JF, Zaikin A, Hippenstiel S, Ramharter M, Witzenrath M, Suttorp N, Lilley K, Mülleder M, Sander LE, Ralser M, Kurth F; PA-COVID-19 Study group. A time-resolved proteomic and prognostic map of COVID-19. Cell Syst 2021;12:780-794.e7. [PMID: 34139154 DOI: 10.1016/j.cels.2021.05.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
75 Montgomery RR, Steen H. Using ‘big data’ to disentangle aging and COVID-19. Nat Aging 2021;1:496-7. [DOI: 10.1038/s43587-021-00078-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
76 Lei H. A single transcript for the prognosis of disease severity in COVID-19 patients. Sci Rep 2021;11:12174. [PMID: 34108608 DOI: 10.1038/s41598-021-91754-7] [Reference Citation Analysis]
77 Hartl D, de Luca V, Kostikova A, Laramie J, Kennedy S, Ferrero E, Siegel R, Fink M, Ahmed S, Millholland J, Schuhmacher A, Hinder M, Piali L, Roth A. Translational precision medicine: an industry perspective. J Transl Med 2021;19:245. [PMID: 34090480 DOI: 10.1186/s12967-021-02910-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
78 Chen Y, Yao H, Zhang N, Wu J, Gao S, Guo J, Lu X, Cheng L, Luo R, Liang X, Wong CCL, Zheng M. Proteomic Analysis Identifies Prolonged Disturbances in Pathways Related to Cholesterol Metabolism and Myocardium Function in the COVID-19 Recovery Stage. J Proteome Res 2021;20:3463-74. [PMID: 34080435 DOI: 10.1021/acs.jproteome.1c00054] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
79 Liu X, Zhao J, Wang H, Wang W, Su X, Liao X, Zhang S, Sun J, Zhang Z. Metabolic Defects of Peripheral T Cells in COVID-19 Patients. J Immunol 2021:ji2100068. [PMID: 34049969 DOI: 10.4049/jimmunol.2100068] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
80 Gurbel PA, Tantry US, Storey RF. International COVID-19 thrombosis biomarkers colloquium: COVID-19 diagnostic tests. J Thromb Thrombolysis 2021. [PMID: 34021852 DOI: 10.1007/s11239-021-02465-9] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
81 Sardar R, Sharma A, Gupta D. Machine Learning Assisted Prediction of Prognostic Biomarkers Associated With COVID-19, Using Clinical and Proteomics Data. Front Genet 2021;12:636441. [PMID: 34093642 DOI: 10.3389/fgene.2021.636441] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
82 Chao Y, Rebetz J, Bläckberg A, Hovold G, Sunnerhagen T, Rasmussen M, Semple JW, Shannon O. Distinct phenotypes of platelet, monocyte, and neutrophil activation occur during the acute and convalescent phase of COVID-19. Platelets 2021;:1-11. [PMID: 33999778 DOI: 10.1080/09537104.2021.1921721] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
83 Filbin MR, Mehta A, Schneider AM, Kays KR, Guess JR, Gentili M, Fenyves BG, Charland NC, Gonye ALK, Gushterova I, Khanna HK, LaSalle TJ, Lavin-Parsons KM, Lilley BM, Lodenstein CL, Manakongtreecheep K, Margolin JD, McKaig BN, Rojas-Lopez M, Russo BC, Sharma N, Tantivit J, Thomas MF, Gerszten RE, Heimberg GS, Hoover PJ, Lieb DJ, Lin B, Ngo D, Pelka K, Reyes M, Smillie CS, Waghray A, Wood TE, Zajac AS, Jennings LL, Grundberg I, Bhattacharyya RP, Parry BA, Villani AC, Sade-Feldman M, Hacohen N, Goldberg MB. Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions. Cell Rep Med 2021;2:100287. [PMID: 33969320 DOI: 10.1016/j.xcrm.2021.100287] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 8.0] [Reference Citation Analysis]
84 Apostolidis SA, Sarkar A, Giannini HM, Goel RR, Mathew D, Suzuki A, Baxter AE, Greenplate AR, Alanio C, Abdel-Hakeem M, Oldridge DA, Giles J, Wu JE, Chen Z, Huang YJ, Pattekar A, Manne S, Kuthuru O, Dougherty J, Weiderhold B, Weisman AR, Ittner CAG, Gouma S, Dunbar D, Frank I, Huang AC, Vella LA, Reilly JP, Hensley SE, Rauova L, Zhao L, Meyer NJ, Poncz M, Abrams CS, Wherry EJ; UPenn COVID Processing Unit. Signaling through FcγRIIA and the C5a-C5aR pathway mediates platelet hyperactivation in COVID-19. bioRxiv 2021:2021. [PMID: 33972943 DOI: 10.1101/2021.05.01.442279] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
85 Yadav R, Acharjee A, Salkar A, Bankar R, Palanivel V, Agrawal S, Shastri J, Sabnis SV, Srivastava S. Mumbai mayhem of COVID-19 pandemic reveals important factors that influence susceptibility to infection. EClinicalMedicine 2021;35:100841. [PMID: 33937730 DOI: 10.1016/j.eclinm.2021.100841] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
86 Mahler M, Meroni PL, Infantino M, Buhler KA, Fritzler MJ. Circulating Calprotectin as a Biomarker of COVID-19 Severity. Expert Rev Clin Immunol 2021;17:431-43. [PMID: 33750254 DOI: 10.1080/1744666X.2021.1905526] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
87 Hartog N, Faber W, Frisch A, Bauss J, Bupp CP, Rajasekaran S, Prokop JW. SARS-CoV-2 infection: molecular mechanisms of severe outcomes to suggest therapeutics. Expert Rev Proteomics 2021;18:105-18. [PMID: 33779460 DOI: 10.1080/14789450.2021.1908894] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
88 Lutz MB, Eckert IN. Comments on the ambiguity of selected surface markers, signaling pathways and omics profiles hampering the identification of myeloid-derived suppressor cells. Cell Immunol 2021;364:104347. [PMID: 33838447 DOI: 10.1016/j.cellimm.2021.104347] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
89 Rezaei-Tavirani M, Rostami Nejad M, Arjmand B, Rezaei Tavirani S, Razzaghi M, Mansouri V. Fibrinogen Dysregulation is a Prominent Process in Fatal Conditions of COVID-19 Infection; a Proteomic Analysis. Arch Acad Emerg Med 2021;9:e26. [PMID: 34027421 DOI: 10.22037/aaem.v9i1.1128] [Reference Citation Analysis]
90 Zamanian-Azodi M, Arjmand B, Razzaghi M, Rezaei Tavirani M, Ahmadzadeh A, Rostaminejad M. Platelet and Haemostasis are the Main Targets in Severe Cases of COVID-19 Infection; a System Biology Study. Arch Acad Emerg Med 2021;9:e27. [PMID: 34027422 DOI: 10.22037/aaem.v9i1.1108] [Reference Citation Analysis]
91 Huang L, Shi Y, Gong B, Jiang L, Zhang Z, Liu X, Yang J, He Y, Jiang Z, Zhong L, Tang J, You C, Jiang Q, Long B, Zeng T, Luo M, Zeng F, Zeng F, Wang S, Yang X, Yang Z. Dynamic blood single-cell immune responses in patients with COVID-19. Signal Transduct Target Ther 2021;6:110. [PMID: 33677468 DOI: 10.1038/s41392-021-00526-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
92 Yan L, Yi J, Huang C, Zhang J, Fu S, Li Z, Lyu Q, Xu Y, Wang K, Yang H, Ma Q, Cui X, Qiao L, Sun W, Liao P. Rapid Detection of COVID-19 Using MALDI-TOF-Based Serum Peptidome Profiling. Anal Chem 2021;93:4782-7. [PMID: 33656857 DOI: 10.1021/acs.analchem.0c04590] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 9.0] [Reference Citation Analysis]
93 Schultze JL, Aschenbrenner AC. COVID-19 and the human innate immune system. Cell 2021;184:1671-92. [PMID: 33743212 DOI: 10.1016/j.cell.2021.02.029] [Cited by in Crossref: 49] [Cited by in F6Publishing: 52] [Article Influence: 49.0] [Reference Citation Analysis]
94 Moin ASM, Nandakumar M, Sathyapalan T, Atkin SL, Butler AE. Biomarkers of COVID-19 severity may not serve patients with polycystic ovary syndrome. J Transl Med 2021;19:63. [PMID: 33573655 DOI: 10.1186/s12967-021-02723-7] [Reference Citation Analysis]
95 Aggarwal S, Acharjee A, Mukherjee A, Baker MS, Srivastava S. Role of Multiomics Data to Understand Host-Pathogen Interactions in COVID-19 Pathogenesis. J Proteome Res 2021;20:1107-32. [PMID: 33426872 DOI: 10.1021/acs.jproteome.0c00771] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
96 Gill SE, Dos Santos CC, O'Gorman DB, Carter DE, Patterson EK, Slessarev M, Martin C, Daley M, Miller MR, Cepinskas G, Fraser DD; Lawson COVID19 Study Team. Transcriptional profiling of leukocytes in critically ill COVID19 patients: implications for interferon response and coagulation. Intensive Care Med Exp 2020;8:75. [PMID: 33306162 DOI: 10.1186/s40635-020-00361-9] [Cited by in Crossref: 10] [Cited by in F6Publishing: 8] [Article Influence: 5.0] [Reference Citation Analysis]
97 [DOI: 10.1101/2021.02.22.21252236] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
98 [DOI: 10.1101/2020.11.09.20228015] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Reference Citation Analysis]