Stephen Wilson
- Neurology top 2%
- Cell Biology top 5%
- Neurology top 10%
- Physiology top 10%
- Asthma and respiratory diseases 2
-
- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 2
-
- Immune cells in cancer 3
-
- Osteoarthritis Treatment and Mechanisms 2
-
- Animal testing and alternatives 2
-
- MicroRNA in disease regulation 2
- Co-authors
- Fabian V. FilippJianfei QiPaul DaviesMartin StegerStefanie WachterAlastair D. ReithDario R. AlessiMatthias Mann
- Cited by
- NeurologyCell Biology
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Stephen Wilson
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Neurology 487
- Cell Biology 318
- Neurology 100
- Physiology 299
- Molecular Biology 630
Countries citing papers authored by Stephen Wilson
This map shows the geographic impact of Stephen Wilson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stephen Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Wilson more than expected).
Fields of papers citing papers by Stephen Wilson
This network shows the impact of papers produced by Stephen Wilson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stephen Wilson. The network helps show where Stephen Wilson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen Wilson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 56 | |
| 6 | 2021 | 66 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 72 | |
| 9 | 2017 | 73 | |
| 10 | 2016 | 38 | |
| 11 | 2016 | 13 | |
| 12 | 2016 | 94 | |
| 13 | Phosphoproteomics reveals that Parkinson's disease kinase LRRK2 regulates a subset of Rab GTPasesbreakdown → | 2016 | 705 |
| 14 | A methodology for physically-based contact and meniscus properties in rigid-body computational knee modeling | 2015 | 1 |
| 15 | 2014 | 38 | |
| 16 | 2013 | 42 | |
| 17 | 2013 | 99 | |
| 18 | 2012 | 11 | |
| 19 | 2000 | 26 | |
| 20 | 1990 | 26 |
About Stephen Wilson
Stephen Wilson is a scholar working on Aging, Immunology and Allergy and Small Animals, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (4 papers), Immune cells in cancer (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Animal testing and alternatives (2 papers), MicroRNA in disease regulation (2 papers), RNA modifications and cancer (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Neurology (487 citations), Cell Biology (318 citations) and Neurology (100 citations). Stephen Wilson has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Fabian V. Filipp, Jianfei Qi, Paul Davies, Martin Steger, Stefanie Wachter, Alastair D. Reith, Dario R. Alessi, Matthias Mann, Esben Lorentzen and Genta Ito. Their work appears in journals such as PLoS ONE, Cancer Research and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.