Ryan Tewhey
Impact in
- Genetics top 1%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
- Viral Infections and Vectors
Papers in
- Genetics 14
- Genetic Associations and Epidemiology 12
- Genomics and Rare Diseases 2
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- Antimicrobial Resistance in Staphylococcus 6
- Co-authors
- Nicholas J. Schork (9 shared papers)Eric J. Topol (6 shared papers)Vikas Bansal (5 shared papers)Steven K. Reilly (8 shared papers)Pardis Christine Sabeti (7 shared papers)Eric S. Lander (4 shared papers)Warren E. Rose (5 shared papers)Ali Torkamani (3 shared papers)
- Journals
- Cell (5 papers)Antimicrobial Agents and Chemotherapy (4 papers)Genome biology (4 papers)Nature (3 papers)Nature Genetics (3 papers)
- Partner nations
- United StatesCanadaNigeria
In The Last Decade
Ryan Tewhey
49 papers receiving 5.8k citations
Ryan Tewhey's Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 1.7k
- Infectious Diseases 504
- Molecular Biology 800
- Cancer Research 155
- Modeling and Simulation 31
Countries citing papers authored by Ryan Tewhey
This map shows the geographic impact of Ryan Tewhey'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 Ryan Tewhey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Tewhey more than expected).
Fields of papers citing papers by Ryan Tewhey
This network shows the impact of papers produced by Ryan Tewhey. 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 Ryan Tewhey. The network helps show where Ryan Tewhey may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Tewhey, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels Hit paper breakdown → | 2007 | 2392 |
| 2 | 2009 | 381 | |
| 3 | 2016 | 332 | |
| 4 | 2008 | 243 | |
| 5 | 2015 | 238 | |
| 6 | 2015 | 233 | |
| 7 | 2011 | 208 | |
| 8 | Comparative transmissibility of SARS-CoV-2 variants Delta and Alpha in New England, USA Hit paper breakdown → | 2022 | 139 |
| 9 | 2012 | 121 | |
| 10 | 2017 | 121 | |
| 11 | 2014 | 115 | |
| 12 | 2021 | 111 | |
| 13 | 2009 | 97 | |
| 14 | 2024 | 74 | |
| 15 | 2013 | 70 | |
| 16 | 2010 | 69 | |
| 17 | 2013 | 67 | |
| 18 | 2014 | 67 | |
| 19 | 2020 | 60 | |
| 20 | 2020 | 58 |
About Ryan Tewhey
Ryan Tewhey is a scholar working on Genetics, Infectious Diseases, Molecular Biology, Molecular Medicine and Cancer Research, having authored 50 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (12 papers), Antimicrobial Resistance in Staphylococcus (6 papers), Genomics and Chromatin Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers), Malaria Research and Control (2 papers), MicroRNA in disease regulation (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Genomics and Rare Diseases (2 papers). The work is most often cited by research in Genetics (1.7k citations), Infectious Diseases (504 citations), Molecular Biology (800 citations), Cancer Research (155 citations) and Modeling and Simulation (31 citations). Ryan Tewhey has collaborated with scholars based in United States, Canada and Nigeria. Frequent co-authors include Nicholas J. Schork, Eric J. Topol, Vikas Bansal, Steven K. Reilly, Pardis Christine Sabeti, Eric S. Lander, Warren E. Rose, Ali Torkamani, George Sakoulas and Tarjei S. Mikkelsen. Their work appears in journals such as Cell, Antimicrobial Agents and Chemotherapy, Genome biology, Nature and Nature Genetics.
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.