Stephen T. Sherry
- Genetics top 0.02%
- Molecular Biology top 0.5%
- Plant Science top 0.5%
- Cancer Research top 0.5%
- Ecology top 1%
- Co-authors
- Gábor MarthCornelis A. AlbersRichard DurbinGerton LunterRobert E. HandsakerAdam AutonGonçalo R. AbecasisMark A. DePristo
- Topics
- Genomics and Phylogenetic Studies (17 papers)Forensic and Genetic Research (14 papers)Genetic Associations and Epidemiology (9 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen T. Sherry
94 papers receiving 20.7k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Genetics 10.5k
- Molecular Biology 9.4k
- Plant Science 3.4k
- Cancer Research 2.1k
- Ecology 1.8k
Countries citing papers authored by Stephen T. Sherry
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 7 | |
| 3 | 15 | |
| 4 | 66 | |
| 5 | 19 | |
| 6 | 40 | |
| 7 | 24 | |
| 8 | 21 | |
| 9 | 21 | |
| 10 | 19 | |
| 11 | 160 | |
| 12 | dbSNP: the NCBI database of genetic variationbreakdown → | 4988 |
| 13 | 38 | |
| 14 | 12 | |
| 15 | Estimating human effective population sizes with genetic models incorporating demographic fluctuation | 3 |
| 16 | 75 | |
| 17 | 183 | |
| 18 | 9 | |
| 19 | Interrelationships between platelets and coagulation in the pathogenesis of venous thrombosis. | 2 |
| 20 | ASSAY OF UROKINASE PREPARATIONS WITH THE SYNTHETIC SUBSTRATE ACETYL-L-LYSINE METHYL ESTER. | 45 |
About Stephen T. Sherry
Stephen T. Sherry is a scholar working on Internal Medicine, Anatomy and Genetics, having authored 96 papers that have together received 21.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (17 papers), Forensic and Genetic Research (14 papers) and Genetic Associations and Epidemiology (9 papers). The work is most often cited by research in Genetics (10.5k citations), Cancer Research (2.1k citations) and Molecular Biology (9.4k citations). Stephen T. Sherry has collaborated with scholars based in United States, United Kingdom and Germany. Frequent 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. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.
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.