BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Cooper JD, Han SYS, Tomasik J, Ozcan S, Rustogi N, van Beveren NJM, Leweke FM, Bahn S. Multimodel inference for biomarker development: an application to schizophrenia. Transl Psychiatry 2019;9:83. [PMID: 30745560 DOI: 10.1038/s41398-019-0419-4] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Zaki JK, Lago SG, Rustogi N, Gangadin SS, Benacek J, van Rees GF, Haenisch F, Broek JA, Suarez-pinilla P, Ruland T, Auyeung B, Mikova O, Kabacs N, Arolt V, Baron-cohen S, Crespo-facorro B, Drexhage HA, de Witte LD, Kahn RS, Sommer IE, Bahn S, Tomasik J. Diagnostic model development for schizophrenia based on peripheral blood mononuclear cell subtype-specific expression of metabolic markers. Transl Psychiatry 2022;12:457. [DOI: 10.1038/s41398-022-02229-w] [Reference Citation Analysis]
2 Funnell EL, Spadaro B, Benacek J, Martin-key NA, Metcalfe T, Olmert T, Barton-owen G, Bahn S. Learnings from user feedback of a novel digital mental health assessment. Front Psychiatry 2022;13:1018095. [DOI: 10.3389/fpsyt.2022.1018095] [Reference Citation Analysis]
3 Jiao R, Przepiorka W, Buskens V. Moderators of reputation effects in peer-to-peer online markets: a meta-analytic model selection approach. J Comput Soc Sc. [DOI: 10.1007/s42001-022-00160-0] [Reference Citation Analysis]
4 Patel AJ, Tan TM, Richter AG, Naidu B, Blackburn JM, Middleton GW. A highly predictive autoantibody-based biomarker panel for prognosis in early-stage NSCLC with potential therapeutic implications. Br J Cancer 2021. [PMID: 34728792 DOI: 10.1038/s41416-021-01572-x] [Cited by in Crossref: 7] [Cited by in F6Publishing: 10] [Article Influence: 7.0] [Reference Citation Analysis]
5 Zeng Y, Li N, Zheng Z, Chen R, Liu W, Cheng J, Zhu J, Zeng M, Peng M, Hong C. Screening of key biomarkers and immune infiltration in Pulmonary Arterial Hypertension via integrated bioinformatics analysis. Bioengineered 2021;12:2576-91. [PMID: 34233597 DOI: 10.1080/21655979.2021.1936816] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
6 Shin D, Rhee SJ, Lee J, Yeo I, Do M, Joo EJ, Jung HY, Roh S, Lee SH, Kim H, Bang M, Lee KY, Kwon JS, Ha K, Ahn YM, Kim Y. Quantitative Proteomic Approach for Discriminating Major Depressive Disorder and Bipolar Disorder by Multiple Reaction Monitoring-Mass Spectrometry. J Proteome Res 2021;20:3188-203. [PMID: 33960196 DOI: 10.1021/acs.jproteome.1c00058] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
7 Tomasik J, Han SYS, Barton-Owen G, Mirea DM, Martin-Key NA, Rustogi N, Lago SG, Olmert T, Cooper JD, Ozcan S, Eljasz P, Thomas G, Tuytten R, Metcalfe T, Schei TS, Farrag LP, Friend LV, Bell E, Cowell D, Bahn S. A machine learning algorithm to differentiate bipolar disorder from major depressive disorder using an online mental health questionnaire and blood biomarker data. Transl Psychiatry 2021;11:41. [PMID: 33436544 DOI: 10.1038/s41398-020-01181-x] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 20.0] [Reference Citation Analysis]
8 Khalfallah O, Barbosa S, Martinuzzi E, Davidovic L, Glaichenhaus N. Cytokines as Biomarkers in Psychiatric Disorders: Methodological Issues. Immuno-Psychiatry 2021. [DOI: 10.1007/978-3-030-71229-7_5] [Reference Citation Analysis]
9 Han SYS, Tomasik J, Rustogi N, Lago SG, Barton-owen G, Eljasz P, Cooper JD, Ozcan S, Olmert T, Farrag LP, Friend LV, Bell E, Cowell D, Thomas G, Tuytten R, Bahn S. Diagnostic prediction model development using data from dried blood spot proteomics and a digital mental health assessment to identify major depressive disorder among individuals presenting with low mood. Brain, Behavior, and Immunity 2020;90:184-95. [DOI: 10.1016/j.bbi.2020.08.011] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 4.0] [Reference Citation Analysis]
10 Salazar de Pablo G, Studerus E, Vaquerizo-Serrano J, Irving J, Catalan A, Oliver D, Baldwin H, Danese A, Fazel S, Steyerberg EW, Stahl D, Fusar-Poli P. Implementing Precision Psychiatry: A Systematic Review of Individualized Prediction Models for Clinical Practice. Schizophr Bull 2021;47:284-97. [PMID: 32914178 DOI: 10.1093/schbul/sbaa120] [Cited by in Crossref: 46] [Cited by in F6Publishing: 52] [Article Influence: 23.0] [Reference Citation Analysis]
11 Olmert T, Cooper JD, Han SYS, Barton-Owen G, Farrag L, Bell E, Friend LV, Ozcan S, Rustogi N, Preece RL, Eljasz P, Tomasik J, Cowell D, Bahn S. A Combined Digital and Biomarker Diagnostic Aid for Mood Disorders (the Delta Trial): Protocol for an Observational Study. JMIR Res Protoc 2020;9:e18453. [PMID: 32773373 DOI: 10.2196/18453] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 6.5] [Reference Citation Analysis]
12 Tetz V, Tetz G. Bacterial DNA induces the formation of heat-resistant disease-associated proteins in human plasma. Sci Rep 2019;9:17995. [PMID: 31784694 DOI: 10.1038/s41598-019-54618-9] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
13 Han SYS, Cooper JD, Ozcan S, Rustogi N, Penninx BWJH, Bahn S. Integrating proteomic, sociodemographic and clinical data to predict future depression diagnosis in subthreshold symptomatic individuals. Transl Psychiatry 2019;9:277. [PMID: 31699963 DOI: 10.1038/s41398-019-0623-2] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 3.0] [Reference Citation Analysis]
14 Tetz V, Tetz GV. Bacterial DNA induces the formation of heat-resistant disease-associated “Tetz-proteins” in human plasma.. [DOI: 10.1101/604090] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]