Eric Venner

3.7k total citations
20 papers, 264 citations indexed

About

Eric Venner is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Eric Venner has authored 20 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Eric Venner's work include Genomics and Rare Diseases (9 papers), Genetic Associations and Epidemiology (6 papers) and Bioinformatics and Genomic Networks (6 papers). Eric Venner is often cited by papers focused on Genomics and Rare Diseases (9 papers), Genetic Associations and Epidemiology (6 papers) and Bioinformatics and Genomic Networks (6 papers). Eric Venner collaborates with scholars based in United States, Australia and Estonia. Eric Venner's co-authors include Olivier Lichtarge, Serkan Erdin, R. Matthew Ward, Rhonald C. Lua, Angela D. Wilkins, Mullai Murugan, Richard A. Gibbs, Andreas Martin Lisewski, David M. Kristensen and W.H. Wilson Tang and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Eric Venner

19 papers receiving 262 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Eric Venner United States	10	165	76	36	23	23	20	264
Mafalda Dias United Kingdom	1	257 1.6×	164 2.2×	10 0.3×	48 2.1×	7 0.3×	2	375
Vivek Das United States	7	238 1.4×	36 0.5×	18 0.5×	46 2.0×	2 0.1×	19	352
Jake Crawford United States	6	245 1.5×	37 0.5×	10 0.3×	8 0.3×	3 0.1×	10	277
Euiseong Ko United States	5	215 1.3×	31 0.4×	18 0.5×	48 2.1×	7 0.3×	9	319
CJ Barberan United States	3	135 0.8×	13 0.2×	16 0.4×	14 0.6×	9 0.4×	4	204
Eric Wei United States	5	106 0.6×	9 0.1×	28 0.8×	21 0.9×	4 0.2×	5	150
Samskruthi Reddy Padigepati United States	2	172 1.0×	162 2.1×	4 0.1×	31 1.3×	13 0.6×	3	266
Dustin Olley United States	5	209 1.3×	41 0.5×	22 0.6×	26 1.1×		5	261
Hema Bye‐A‐Jee United Kingdom	5	251 1.5×	30 0.4×	17 0.5×	15 0.7×	1 0.0×	7	288

Countries citing papers authored by Eric Venner

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Eric Venner

This figure shows the co-authorship network connecting the top 25 collaborators of Eric Venner. A scholar is included among the top collaborators of Eric Venner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eric Venner. Eric Venner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Schmidt, Ryan J., Larissa V. Furtado, Matthew S. Lebo, et al.. (2025). Clinical Bioinformatician Body of Knowledge—Clinical Laboratory Regulation and Data Security Core. Journal of Molecular Diagnostics. 27(7). 583–601. 2 indexed citations

Murugan, Mullai, Bo Yuan, Eric Venner, et al.. (2024). Empowering personalized pharmacogenomics with generative AI solutions. Journal of the American Medical Informatics Association. 31(6). 1356–1366. 22 indexed citations

Venner, Eric, Karynne Patterson, Divya Kalra, et al.. (2024). The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities. Communications Biology. 7(1). 174–174. 25 indexed citations

Dawood, Moez, Shawn Fayer, Sriram Pendyala, et al.. (2024). Using multiplexed functional data to reduce variant classification inequities in underrepresented populations. Genome Medicine. 16(1). 143–143. 7 indexed citations

Li, Lele, et al.. (2024). Tracking updates in clinical databases increases efficiency for variant reanalysis. SHILAP Revista de lepidopterología. 2. 101841–101841.

Krittanawong, Chayakrit, Kipp W. Johnson, Edward Choi, et al.. (2022). Artificial Intelligence and Cardiovascular Genetics. Life. 12(2). 279–279. 32 indexed citations

Roberts, Robert, et al.. (2022). Genetic risk and its role in primary prevention of CAD. 6(4). 388–402. 1 indexed citations

Feofanova, Elena V., Guo‐Qiang Zhang, Samden Lhatoo, et al.. (2021). The Implementation Science for Genomic Health Translation (INSIGHT) Study in Epilepsy: Protocol for a Learning Health Care System. JMIR Research Protocols. 10(3). e25576–e25576. 3 indexed citations

He, Li, Moez Dawood, Michael M. Khayat, et al.. (2021). Exome variant discrepancies due to reference-genome differences. The American Journal of Human Genetics. 108(7). 1239–1250. 31 indexed citations

10.

Harrison, Steven M., Christina Austin‐Tse, Matthew S. Lebo, et al.. (2021). Harmonizing variant classification for return of results in the All of Us Research Program. Human Mutation. 43(8). 1114–1121. 5 indexed citations

11.

Metcalf, Ginger, David R. Murdock, Eric Venner, et al.. (2020). HEARTCARE: ADVANCING PRECISION MEDICINE THROUGH COMPREHENSIVE CARDIOVASCULAR GENETIC TESTING. Journal of the American College of Cardiology. 75(11). 3643–3643. 1 indexed citations

12.

Liu, Jidong, Guolian Ding, Kexin Zou, et al.. (2020). Genome sequencing analysis of a family with a child displaying severe abdominal distention and recurrent hypoglycemia. Molecular Genetics & Genomic Medicine. 8(3). e1130–e1130. 5 indexed citations

13.

Venner, Eric, et al.. (2019). ARBoR: an identity and security solution for clinical reporting. Journal of the American Medical Informatics Association. 26(11). 1370–1374. 1 indexed citations

14.

Lua, Rhonald C., et al.. (2015). UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures. Nucleic Acids Research. 44(D1). D308–D312. 24 indexed citations

15.

Wilkins, Angela D., Eric Venner, David C. Marciano, et al.. (2013). Accounting for epistatic interactions improves the functional analysis of protein structures. Bioinformatics. 29(21). 2714–2721. 19 indexed citations

16.

Erdin, Serkan, Eric Venner, Andreas Martin Lisewski, & Olivier Lichtarge. (2013). Function prediction from networks of local evolutionary similarity in protein structure. BMC Bioinformatics. 14(S3). S6–S6. 10 indexed citations

17.

Venner, Eric, et al.. (2012). ETAscape: analyzing protein networks to predict enzymatic function and substrates in Cytoscape. Bioinformatics. 28(16). 2186–2188. 5 indexed citations

18.

Venner, Eric, et al.. (2010). Accurate Protein Structure Annotation through Competitive Diffusion of Enzymatic Functions over a Network of Local Evolutionary Similarities. PLoS ONE. 5(12). e14286–e14286. 15 indexed citations

19.

Erdin, Serkan, R. Matthew Ward, Eric Venner, & Olivier Lichtarge. (2009). Evolutionary Trace Annotation of Protein Function in the Structural Proteome. Journal of Molecular Biology. 396(5). 1451–1473. 31 indexed citations

20.

Ward, R. Matthew, et al.. (2009). Evolutionary Trace Annotation Server: automated enzyme function prediction in protein structures using 3D templates. Bioinformatics. 25(11). 1426–1427. 25 indexed citations

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.

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