Eric Venner
Impact in
- Genetics top 2%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Health Informatics top 5%
Papers in
- Genetics 16
- Genomics and Rare Diseases 12
- Genetic Associations and Epidemiology 2
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- Electronic Health Records Systems 2
- Co-authors
- Olivier Lichtarge (7 shared papers)Serkan Erdin (6 shared papers)R. Matthew Ward (3 shared papers)Richard A. Gibbs (7 shared papers)Mullai Murugan (4 shared papers)Rhonald C. Lua (3 shared papers)Angela D. Wilkins (2 shared papers)Andreas Martin Lisewski (2 shared papers)
- Journals
- Genetics in Medicine (5 papers)Bioinformatics (3 papers)The American Journal of Human Genetics (3 papers)Journal of the American Medical Informatics Association (3 papers)Nature (2 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Eric Venner
41 papers receiving 2.5k citations
Eric Venner's Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 633
- Health Informatics 43
- Pharmacology 100
- Molecular Biology 577
- Health Information Management 37
Countries citing papers authored by Eric Venner
This map shows the geographic impact of Eric Venner'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 Eric Venner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Venner more than expected).
Fields of papers citing papers by Eric Venner
This network shows the impact of papers produced by Eric Venner. 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 Eric Venner. The network helps show where Eric Venner may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Venner, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A large-scale evaluation of computational protein function prediction Hit paper breakdown → | 2013 | 757 |
| 2 | Genomic data in the All of Us Research Program Hit paper breakdown → | 2024 | 392 |
| 3 | Improving reporting standards for polygenic scores in risk prediction studies Hit paper breakdown → | 2021 | 318 |
| 4 | 2022 | 113 | |
| 5 | 2017 | 96 | |
| 6 | 2019 | 92 | |
| 7 | 2020 | 88 | |
| 8 | 2020 | 73 | |
| 9 | 2022 | 57 | |
| 10 | 2022 | 43 | |
| 11 | 2021 | 42 | |
| 12 | 2019 | 39 | |
| 13 | 2022 | 39 | |
| 14 | 2024 | 38 | |
| 15 | 2024 | 37 | |
| 16 | 2009 | 32 | |
| 17 | 2022 | 32 | |
| 18 | 2018 | 31 | |
| 19 | 2009 | 25 | |
| 20 | 2015 | 24 |
About Eric Venner
Eric Venner is a scholar working on Genetics, Health Information Management, Pharmacology, Health Informatics and Molecular Biology, having authored 42 papers that have together received 2.6k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Electronic Health Records Systems (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Protein Structure and Dynamics (2 papers), Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (1 paper), Artificial Intelligence in Healthcare and Education (1 paper) and Clinical Laboratory Practices and Quality Control (1 paper). The work is most often cited by research in Genetics (633 citations), Health Informatics (43 citations), Pharmacology (100 citations), Molecular Biology (577 citations) and Health Information Management (37 citations). Eric Venner has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Olivier Lichtarge, Serkan Erdin, R. Matthew Ward, Richard A. Gibbs, Mullai Murugan, Rhonald C. Lua, Angela D. Wilkins, Andreas Martin Lisewski, Bo Yuan and James R. Lupski. Their work appears in journals such as Genetics in Medicine, Bioinformatics, The American Journal of Human Genetics, Journal of the American Medical Informatics Association and Nature.
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.