Jonathan Davitte
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 7
- Genomics and Rare Diseases 5
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Margaret G. Ehm (2 shared papers)Pooja Kathail (1 shared paper)Marni Stott‐Miller (1 shared paper)Alexander R. Gupta (1 shared paper)Laralynne Przybyla (1 shared paper)Volkan Sevi̇m (1 shared paper)Audrey Y. Chu (1 shared paper)Monica Isgut (1 shared paper)
- Journals
- Nature Genetics (3 papers)Nature (2 papers)Scientific Reports (2 papers)Nature Medicine (1 paper)Translational Psychiatry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jonathan Davitte
11 papers receiving 1.0k citations
Jonathan Davitte's Hit Papers
Peers
Comparison fields: 5 of 91
- Aging 16
- Genetics 246
- Biological Psychiatry 18
- Nephrology 27
- Rheumatology 50
Countries citing papers authored by Jonathan Davitte
This map shows the geographic impact of Jonathan Davitte'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 Jonathan Davitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Davitte more than expected).
Fields of papers citing papers by Jonathan Davitte
This network shows the impact of papers produced by Jonathan Davitte. 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 Jonathan Davitte. The network helps show where Jonathan Davitte may publish in the future.
Co-authors
The 21 scholars most cited alongside Jonathan Davitte, 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 | Plasma proteomic associations with genetics and health in the UK Biobank Hit paper breakdown → | 2023 | 900 |
| 2 | Proteomic signatures improve risk prediction for common and rare diseases Hit paper breakdown → | 2024 | 100 |
| 3 | 2025 | 28 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2026 | 1 | |
| 12 | 2024 | 0 |
About Jonathan Davitte
Jonathan Davitte is a scholar working on Genetics, Cancer Research, Endocrine and Autonomic Systems, Clinical Biochemistry and Nephrology, having authored 12 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (5 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (1 paper), Biomedical Text Mining and Ontologies (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Birth, Development, and Health (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Aging (16 citations), Genetics (246 citations), Biological Psychiatry (18 citations), Nephrology (27 citations) and Rheumatology (50 citations). Jonathan Davitte has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Margaret G. Ehm, Pooja Kathail, Marni Stott‐Miller, Alexander R. Gupta, Laralynne Przybyla, Volkan Sevi̇m, Audrey Y. Chu, Monica Isgut, May Dongmei Wang and Richard W. Shuai. Their work appears in journals such as Nature Genetics, Nature, Scientific Reports, Nature Medicine and Translational Psychiatry.
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.