Eric Venner
Impact in
- Health Informatics top 5%
-
- Genomics and Rare Diseases
Papers in
-
- Bioinformatics and Genomic Networks 6
- Protein Structure and Dynamics 4
- Biomedical Text Mining and Ontologies 3
- Microbial Metabolic Engineering and Bioproduction 3
- Genetics, Bioinformatics, and Biomedical Research 2
- Genetics 11
- Genomics and Rare Diseases 9
- Genetic Associations and Epidemiology 6
- Co-authors
- Olivier Lichtarge (7 shared papers)Serkan Erdin (6 shared papers)R. Matthew Ward (3 shared papers)Rhonald C. Lua (3 shared papers)Mullai Murugan (4 shared papers)Richard A. Gibbs (7 shared papers)Angela D. Wilkins (2 shared papers)Andreas Martin Lisewski (2 shared papers)
- Journals
- Bioinformatics (3 papers)Journal of the American Medical Informatics Association (2 papers)BMC Bioinformatics (1 paper)Life (1 paper)Human Mutation (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Eric Venner
19 papers receiving 262 citations
Peers
Comparison fields: 5 of 66
- Health Informatics 23
- Genetics 76
- Molecular Biology 165
- Computational Theory and Mathematics 36
- Cancer Research 23
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
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2021 | 31 | |
| 3 | 2009 | 31 | |
| 4 | 2024 | 25 | |
| 5 | 2009 | 25 | |
| 6 | 2015 | 24 | |
| 7 | 2024 | 22 | |
| 8 | 2013 | 19 | |
| 9 | 2010 | 15 | |
| 10 | 2013 | 10 | |
| 11 | 2024 | 7 | |
| 12 | 2012 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2019 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Eric Venner
Eric Venner is a scholar working on Molecular Biology, Genetics, Cancer Research, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 20 papers that have together received 264 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (6 papers), Protein Structure and Dynamics (4 papers), Cancer Genomics and Diagnostics (3 papers), Biomedical Text Mining and Ontologies (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers) and Genetics, Bioinformatics, and Biomedical Research (2 papers). The work is most often cited by research in Health Informatics (23 citations), Genetics (76 citations), Molecular Biology (165 citations), Computational Theory and Mathematics (36 citations) and Cancer Research (23 citations). Eric Venner has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Olivier Lichtarge, Serkan Erdin, R. Matthew Ward, Rhonald C. Lua, Mullai Murugan, Richard A. Gibbs, Angela D. Wilkins, Andreas Martin Lisewski, David M. Kristensen and W.H. Wilson Tang. Their work appears in journals such as Bioinformatics, Journal of the American Medical Informatics Association, BMC Bioinformatics, Life and Human Mutation.
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.