# An autoantibody signature predictive for multiple sclerosis

*PRI Rank #11 · Topics and Trends in Most Cited Monoclonal and Polyclonal Antibodies Research Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/monoclonal-and-polyclonal-antibodies-research/2026/rank-11*

| Field | Value |
| --- | --- |
| Rank | #11 |
| 18m citations | 49 |
| Journal | Nature Medicine |
| Year | 2024 |
| DOI | 10.1038/s41591-024-02938-3 |
| Corresponding authors | Michael R. Wilson |
| Institution | University of California, San Francisco, United States |

**Ranking page:** [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)

**Paper link:** [10.1038/s41591-024-02938-3](https://doi.org/10.1038/s41591-024-02938-3)

## Topics

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

## Cite this ranking

```
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
```