James Yarmolinsky
Impact in
- Genetics top 0.5%
- Genetic Associations and Epidemiology
- Biological Psychiatry top 5%
Papers in
- Genetics 12
- Genetic Associations and Epidemiology 12
- BRCA gene mutations in cancer 1
-
- Diabetes Treatment and Management 2
- Co-authors
- George Davey Smith (14 shared papers)Nicholas J. Timpson (3 shared papers)Richard M. Martin (13 shared papers)Caroline L. Relton (6 shared papers)Ryan Langdon (4 shared papers)Philip Haycock (5 shared papers)Kaitlin H. Wade (2 shared papers)David M. Evans (2 shared papers)
- Journals
- JAMA (2 papers)Cancer Epidemiology Biomarkers & Prevention (2 papers)PLoS Medicine (2 papers)International Journal of Cancer (2 papers)PLoS ONE (2 papers)
- Partner nations
- United KingdomUnited StatesBrazil
In The Last Decade
James Yarmolinsky
29 papers receiving 7.6k citations
James Yarmolinsky's Hit Papers
Peers
Comparison fields: 5 of 134
- Genetics 1.8k
- Biological Psychiatry 72
- Rheumatology 410
- Gastroenterology 137
- Cancer Research 343
Countries citing papers authored by James Yarmolinsky
This map shows the geographic impact of James Yarmolinsky'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 James Yarmolinsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Yarmolinsky more than expected).
Fields of papers citing papers by James Yarmolinsky
This network shows the impact of papers produced by James Yarmolinsky. 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 James Yarmolinsky. The network helps show where James Yarmolinsky may publish in the future.
Co-authors
The 25 scholars most cited alongside James Yarmolinsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The MR-Base platform supports systematic causal inference across the human phenome Hit paper breakdown → | 2018 | 4604 |
| 2 | Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization Hit paper breakdown → | 2021 | 2161 |
| 3 | 2018 | 111 | |
| 4 | 2020 | 93 | |
| 5 | 2016 | 92 | |
| 6 | 2018 | 75 | |
| 7 | 2015 | 69 | |
| 8 | 2019 | 60 | |
| 9 | 2022 | 44 | |
| 10 | 2015 | 42 | |
| 11 | 2023 | 35 | |
| 12 | 2023 | 34 | |
| 13 | 2019 | 30 | |
| 14 | 2022 | 30 | |
| 15 | 2021 | 26 | |
| 16 | 2023 | 22 | |
| 17 | 2020 | 21 | |
| 18 | 2015 | 18 | |
| 19 | 2016 | 12 | |
| 20 | 2022 | 9 |
About James Yarmolinsky
James Yarmolinsky is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Cancer Research, Molecular Biology and Nutrition and Dietetics, having authored 34 papers that have together received 7.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Cancer, Lipids, and Metabolism (2 papers), Diabetes Treatment and Management (2 papers), Gestational Diabetes Research and Management (1 paper), Coffee research and impacts (1 paper), Advanced Causal Inference Techniques (1 paper), Vasculitis and related conditions (1 paper) and BRCA gene mutations in cancer (1 paper). The work is most often cited by research in Genetics (1.8k citations), Biological Psychiatry (72 citations), Rheumatology (410 citations), Gastroenterology (137 citations) and Cancer Research (343 citations). James Yarmolinsky has collaborated with scholars based in United Kingdom, United States and Brazil. Frequent co-authors include George Davey Smith, Nicholas J. Timpson, Richard M. Martin, Caroline L. Relton, Ryan Langdon, Philip Haycock, Kaitlin H. Wade, David M. Evans, Stephen Burgess and Tom R. Gaunt. Their work appears in journals such as JAMA, Cancer Epidemiology Biomarkers & Prevention, PLoS Medicine, International Journal of Cancer and PLoS ONE.
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.