Stephen T. Sherry

111.6k total citations · 5 hit papers
96 papers, 21.2k citations indexed

About

Stephen T. Sherry is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Stephen T. Sherry has authored 96 papers receiving a total of 21.2k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 32 papers in Genetics and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Stephen T. Sherry's work include Genomics and Phylogenetic Studies (17 papers), Forensic and Genetic Research (14 papers) and Genetic Associations and Epidemiology (9 papers). Stephen T. Sherry is often cited by papers focused on Genomics and Phylogenetic Studies (17 papers), Forensic and Genetic Research (14 papers) and Genetic Associations and Epidemiology (9 papers). Stephen T. Sherry collaborates with scholars based in United States, United Kingdom and Germany. Stephen T. Sherry's co-authors include Gábor Marth, Cornelis A. Albers, Richard Durbin, Gerton Lunter, Robert E. Handsaker, Adam Auton, Gonçalo R. Abecasis, Mark A. DePristo, Petr Danecek and Eric Banks and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephen T. Sherry

94 papers receiving 20.7k citations

Hit Papers

The variant call format and VCFtools 1993 2026 2004 2015 2011 2001 2015 1999 1993 2.5k 5.0k 7.5k

Peers

Stephen T. Sherry
Adam Auton United States
Alec J. Jeffreys United Kingdom
Webb Miller United States
Gerton Lunter United Kingdom
Andrey Sivachenko United States
Andrew Kernytsky United States
David Reich United States
Pamela Sklar United States
Carlos D. Bustamante United States
Ranajit Chakraborty United States
Adam Auton United States
Stephen T. Sherry
Citations per year, relative to Stephen T. Sherry Stephen T. Sherry (= 1×) peers Adam Auton

Countries citing papers authored by Stephen T. Sherry

Since Specialization
Citations

This map shows the geographic impact of Stephen T. Sherry'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 Stephen T. Sherry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen T. Sherry more than expected).

Fields of papers citing papers by Stephen T. Sherry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen T. Sherry. 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 Stephen T. Sherry. The network helps show where Stephen T. Sherry may publish in the future.

Co-authorship network of co-authors of Stephen T. Sherry

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen T. Sherry. A scholar is included among the top collaborators of Stephen T. Sherry 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 Stephen T. Sherry. Stephen T. Sherry is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sayers, Eric W, Mark Cavanaugh, Karen Clark, et al.. (2023). GenBank 2024 Update. Nucleic Acids Research. 52(D1). D134–D137. 60 indexed citations
2.
Wang, Ying‐Chih, Nathan D. Olson, Gintaras Deikus, et al.. (2019). High-coverage, long-read sequencing of Han Chinese trio reference samples. Scientific Data. 6(1). 91–91. 7 indexed citations
3.
Jin, Yumi, Alejandro A. Schäffer, Stephen T. Sherry, & Michael Feolo. (2017). Quickly identifying identical and closely related subjects in large databases using genotype data. PLoS ONE. 12(6). e0179106–e0179106. 15 indexed citations
4.
Coble, Michael D., John Buckleton, John M. Butler, et al.. (2016). DNA Commission of the International Society for Forensic Genetics: Recommendations on the validation of software programs performing biostatistical calculations for forensic genetics applications. Forensic Science International Genetics. 25. 191–197. 66 indexed citations
5.
Ramos, Erin M., Ebony Bookman, Carl C. Baker, et al.. (2013). A Mechanism for Controlled Access to GWAS Data: Experience of the GAIN Data Access Committee. The American Journal of Human Genetics. 92(4). 479–488. 19 indexed citations
6.
Craig, David W., Zhenyuan Wang, Justin Paschall, et al.. (2011). Assessing and managing risk when sharing aggregate genetic variant data. Nature Reviews Genetics. 12(10). 730–736. 40 indexed citations
7.
Hoffman, Douglas, et al.. (2010). A Mathematical Approach to the Analysis of Multiplex DNA Profiles. Bulletin of Mathematical Biology. 73(8). 1909–1931. 24 indexed citations
8.
Saccone, Scott F., Laura J. Bierut, Elissa J. Chesler, et al.. (2009). Supplementing High-Density SNP Microarrays for Additional Coverage of Disease-Related Genes: Addiction as a Paradigm. PLoS ONE. 4(4). e5225–e5225. 21 indexed citations
9.
Zaitlen, Noah, Hyun Min Kang, Michael Feolo, et al.. (2005). Inference and analysis of haplotypes from combined genotyping studies deposited in dbSNP. Genome Research. 15(11). 1594–1600. 21 indexed citations
10.
Altman, Russ B., David A. Flockhart, Stephen T. Sherry, et al.. (2003). Indexing pharmacogenetic knowledge on the World Wide Web. Pharmacogenetics. 13(1). 3–5. 19 indexed citations
11.
Romualdi, Chiara, David J. Balding, Ivane Nasidze, et al.. (2002). Patterns of Human Diversity, within and among Continents, Inferred from Biallelic DNA Polymorphisms. Genome Research. 12(4). 602–612. 160 indexed citations
12.
Sherry, Stephen T.. (2001). dbSNP: the NCBI database of genetic variation. Nucleic Acids Research. 29(1). 308–311. 4988 indexed citations breakdown →
13.
Sherry, Stephen T., Minghong Ward, & Karl Sirotkin. (2000). Use of molecular variation in the NCBI dbSNP database. Human Mutation. 15(1). 68–75. 38 indexed citations
14.
DeAngelis, Margaret M., Stacy S. Drury, Stephen T. Sherry, et al.. (1998). Assembly of a high-resolution map of the Acadian Usher syndrome region and localization of the nuclear EF-hand acidic gene. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1407(1). 84–91. 12 indexed citations
15.
Sherry, Stephen T.. (1997). Estimating human effective population sizes with genetic models incorporating demographic fluctuation. UMI eBooks. 3 indexed citations
16.
Stoneking, Mark, Stephen T. Sherry, Alan J. Redd, & Linda Vigilant. (1992). New approaches to dating suggest a recent age for the human mtDNA ancestor. Philosophical Transactions of the Royal Society B Biological Sciences. 337(1280). 167–175. 75 indexed citations
17.
Merriwether, D. Andrew, Andrew G. Clark, Scott W. Ballinger, et al.. (1991). The structure of human mitochondrial DNA variation. Journal of Molecular Evolution. 33(6). 543–555. 183 indexed citations
18.
Sherry, Stephen T.. (1990). Pharmacology of anistreplase. Clinical Cardiology. 13(S5). 3–10. 9 indexed citations
19.
Sherry, Stephen T.. (1976). Interrelationships between platelets and coagulation in the pathogenesis of venous thrombosis.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 50(11). 425–7. 2 indexed citations
20.
Sherry, Stephen T., Norma Alkjærsig, & Fletcher Ap. (1964). ASSAY OF UROKINASE PREPARATIONS WITH THE SYNTHETIC SUBSTRATE ACETYL-L-LYSINE METHYL ESTER.. PubMed. 64. 145–53. 45 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026