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For: Steffen P, Kwiatkowski M, Robertson WD, Zarrine-afsar A, Deterra D, Richter V, Schlüter H. Protein species as diagnostic markers. Journal of Proteomics 2016;134:5-18. [DOI: 10.1016/j.jprot.2015.12.015] [Cited by in Crossref: 21] [Cited by in F6Publishing: 22] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Weber TA, Metzler L, Fosso Tene PL, Brandstetter T, Rühe J. Single-Color Barcoding for Multiplexed Hydrogel Bead-Based Immunoassays. ACS Appl Mater Interfaces 2022;14:25147-54. [PMID: 35617151 DOI: 10.1021/acsami.2c04361] [Reference Citation Analysis]
2 Eivazzadeh-keihan R, Bahreinizad H, Amiri Z, Aliabadi HAM, Salimi-bani M, Nakisa A, Davoodi F, Tahmasebi B, Ahmadpour F, Radinekiyan F, Maleki A, Hamblin MR, Mahdavi M, Madanchi H. Functionalized magnetic nanoparticles for the separation and purification of proteins and peptides. TrAC Trends in Analytical Chemistry 2021;141:116291. [DOI: 10.1016/j.trac.2021.116291] [Cited by in Crossref: 9] [Cited by in F6Publishing: 12] [Article Influence: 9.0] [Reference Citation Analysis]
3 Xu H, Xia A, Luo J, Gao M, Liao R, Li F, Zhong Q, Zhang W, Wang Y, Cui J, Fu W, Chang K, Gan M, Jiang W, Chen M. A sample-to-answer quantitative platform for point-of-care testing of biochemical markers in whole blood. Sensors and Actuators B: Chemical 2020;308:127750. [DOI: 10.1016/j.snb.2020.127750] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
4 Apurva M, Mazumdar H. Predicting structural class for protein sequences of 40% identity based on features of primary and secondary structure using Random Forest algorithm. Computational Biology and Chemistry 2020;84:107164. [DOI: 10.1016/j.compbiolchem.2019.107164] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
5 Yurkovich JT, Tian Q, Price ND, Hood L. A systems approach to clinical oncology uses deep phenotyping to deliver personalized care. Nat Rev Clin Oncol 2020;17:183-94. [DOI: 10.1038/s41571-019-0273-6] [Cited by in Crossref: 13] [Cited by in F6Publishing: 18] [Article Influence: 4.3] [Reference Citation Analysis]
6 Eskonen V, Tong-Ochoa N, Valtonen S, Kopra K, Härmä H. Thermal Dissociation Assay for Time-Resolved Fluorescence Detection of Protein Post-Translational Modifications. ACS Omega 2019;4:16501-7. [PMID: 31616828 DOI: 10.1021/acsomega.9b02134] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
7 Katsafadou AI, Vasileiou NGC, Fthenakis GC. Use of Proteomics in the Study of Mastitis in Ewes. Pathogens 2019;8:E134. [PMID: 31470519 DOI: 10.3390/pathogens8030134] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 1.3] [Reference Citation Analysis]
8 McDonald F, Holmes C, Jones M, Graham JE. How Do Postgenomic Innovations Emerge? Building Legitimacy by Proteomics Standards and Informing the Next-Generation Technology Policy. OMICS 2019;23:406-15. [PMID: 31380729 DOI: 10.1089/omi.2019.0053] [Reference Citation Analysis]
9 Suprun EV. Protein post-translational modifications – A challenge for bioelectrochemistry. TrAC Trends in Analytical Chemistry 2019;116:44-60. [DOI: 10.1016/j.trac.2019.04.019] [Cited by in Crossref: 8] [Cited by in F6Publishing: 4] [Article Influence: 2.7] [Reference Citation Analysis]
10 Katsafadou AI, Tsangaris GT, Anagnostopoulos AK, Billinis C, Barbagianni MS, Vasileiou NGC, Spanos SA, Mavrogianni VS, Fthenakis GC. Differential quantitative proteomics study of experimental Mannheimia haemolytica mastitis in sheep. J Proteomics 2019;205:103393. [PMID: 31154024 DOI: 10.1016/j.jprot.2019.103393] [Cited by in Crossref: 12] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
11 Hänel L, Kwiatkowski M, Heikaus L, Schlüter H. Mass spectrometry-based intraoperative tumor diagnostics. Future Sci OA 2019;5:FSO373. [PMID: 30906569 DOI: 10.4155/fsoa-2018-0087] [Cited by in Crossref: 17] [Cited by in F6Publishing: 22] [Article Influence: 5.7] [Reference Citation Analysis]
12 Bults P, Spanov B, Olaleye O, van de Merbel NC, Bischoff R. Intact protein bioanalysis by liquid chromatography – High-resolution mass spectrometry. Journal of Chromatography B 2019;1110-1111:155-67. [DOI: 10.1016/j.jchromb.2019.01.032] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 4.7] [Reference Citation Analysis]
13 Laskowska E, Kuczyńska-Wiśnik D, Lipińska B. Proteomic analysis of protein homeostasis and aggregation. J Proteomics 2019;198:98-112. [PMID: 30529741 DOI: 10.1016/j.jprot.2018.12.003] [Cited by in Crossref: 15] [Cited by in F6Publishing: 18] [Article Influence: 3.8] [Reference Citation Analysis]
14 Wu YJ, Li YS, Tseng WL, Lu CY. Microextraction combined with microderivatization for drug monitoring and protein modification analysis from limited blood volume using mass spectrometry. Anal Bioanal Chem 2018;410:7405-14. [PMID: 30191273 DOI: 10.1007/s00216-018-1349-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
15 Baetta R, Pontremoli M, Fernandez AM, Spickett CM, Banfi C. Reprint of: Proteomics in cardiovascular diseases: Unveiling sex and gender differences in the era of precision medicine. J Proteomics 2018;178:57-72. [PMID: 29622522 DOI: 10.1016/j.jprot.2018.03.017] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
16 Urasaki Y, Zhang C, Cheng JX, Le TT. Quantitative Assessment of Liver Steatosis and Affected Pathways with Molecular Imaging and Proteomic Profiling. Sci Rep 2018;8:3606. [PMID: 29483581 DOI: 10.1038/s41598-018-22082-6] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 5.3] [Reference Citation Analysis]
17 Kershaw JL, Botting CH, Brownlow A, Hall AJ. Not just fat: investigating the proteome of cetacean blubber tissue. Conserv Physiol 2018;6:coy003. [PMID: 29479430 DOI: 10.1093/conphys/coy003] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 3.0] [Reference Citation Analysis]
18 Chen B, Brown KA, Lin Z, Ge Y. Top-Down Proteomics: Ready for Prime Time? Anal Chem 2018;90:110-27. [PMID: 29161012 DOI: 10.1021/acs.analchem.7b04747] [Cited by in Crossref: 94] [Cited by in F6Publishing: 88] [Article Influence: 18.8] [Reference Citation Analysis]
19 Baetta R, Pontremoli M, Martinez Fernandez A, Spickett CM, Banfi C. Proteomics in cardiovascular diseases: Unveiling sex and gender differences in the era of precision medicine. J Proteomics. 2018;173:62-76. [PMID: 29180046 DOI: 10.1016/j.jprot.2017.11.012] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 2.4] [Reference Citation Analysis]
20 Vidova V, Spacil Z. A review on mass spectrometry-based quantitative proteomics: Targeted and data independent acquisition. Analytica Chimica Acta 2017;964:7-23. [DOI: 10.1016/j.aca.2017.01.059] [Cited by in Crossref: 151] [Cited by in F6Publishing: 173] [Article Influence: 30.2] [Reference Citation Analysis]
21 Zhao Y, Chen Y, Xiong Z, Sun X, Zhang Q, Gan Y, Zhang L, Zhang W. Synthesis of magnetic zwitterionic–hydrophilic material for the selective enrichment of N-linked glycopeptides. Journal of Chromatography A 2017;1482:23-31. [DOI: 10.1016/j.chroma.2016.12.054] [Cited by in Crossref: 30] [Cited by in F6Publishing: 26] [Article Influence: 6.0] [Reference Citation Analysis]
22 Jungblut P, Thiede B, Schlüter H. Towards deciphering proteomes via the proteoform, protein speciation, moonlighting and protein code concepts. Journal of Proteomics 2016;134:1-4. [DOI: 10.1016/j.jprot.2016.01.012] [Cited by in Crossref: 23] [Cited by in F6Publishing: 19] [Article Influence: 3.8] [Reference Citation Analysis]