An autoantibody signature predictive for multiple sclerosis

🏆 Top 20📊 OpenAlex

Most Cited Paper

in Monoclonal and Polyclonal Antibodies Research

18 Months Post-Publication

Class of 2026

“An autoantibody signature predictive for multiple sclerosis”

AuthorsColin R Zamecnik, Gavin M Sowa et al.

Michael R. Wilson

JournalNature Medicine

University of California, San Francisco

Citations49

DOI10.1038/s41591-024-02938-3

A research intelligence initiative by Pepkio

pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026/

Topics

autoantibody profiling · multiple sclerosis · peptide microarray · prediagnostic serum samples · epitope analysis · molecular mimicry · biomarker discovery

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Pepkio Research Index (PRI). Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026. https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026. Accessed 2026-07-15.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459