Tymor Hamamsy
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genetic Associations and Epidemiology
- Genetics and Neurodevelopmental Disorders
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- Cancer Genomics and Diagnostics
Papers in
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- Genomics and Phylogenetic Studies 2
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
- Protein Structure and Dynamics 1
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- Forensic Toxicology and Drug Analysis 1
- Co-authors
- David Kavanagh (2 shared papers)Mark J. Daly (2 shared papers)Douglas M. Ruderfer (2 shared papers)Kaitlin E. Samocha (2 shared papers)Konrad J. Karczewski (2 shared papers)Daniel G. MacArthur (2 shared papers)Daniel Birnbaum (1 shared paper)Ben Weisburd (1 shared paper)
- Journals
- npj Digital Medicine (1 paper)Nature Biotechnology (1 paper)Journal of Medical Internet Research (1 paper)PLoS ONE (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Tymor Hamamsy
7 papers receiving 695 citations
Tymor Hamamsy's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 243
- Cancer Research 92
- Molecular Biology 317
- Pathology and Forensic Medicine 36
- Sensory Systems 10
Countries citing papers authored by Tymor Hamamsy
This map shows the geographic impact of Tymor Hamamsy'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 Tymor Hamamsy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tymor Hamamsy more than expected).
Fields of papers citing papers by Tymor Hamamsy
This network shows the impact of papers produced by Tymor Hamamsy. 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 Tymor Hamamsy. The network helps show where Tymor Hamamsy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tymor Hamamsy, 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 | The ExAC browser: displaying reference data information from over 60 000 exomes Hit paper breakdown → | 2016 | 462 |
| 2 | 2016 | 106 | |
| 3 | 2023 | 73 | |
| 4 | 2022 | 40 | |
| 5 | 2021 | 10 | |
| 6 | 2021 | 8 | |
| 7 | 2025 | 3 |
About Tymor Hamamsy
Tymor Hamamsy is a scholar working on Molecular Biology, Toxicology, Genetics, Health and Health, Toxicology and Mutagenesis, having authored 7 papers that have together received 702 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers), Opioid Use Disorder Treatment (1 paper), Chromosomal and Genetic Variations (1 paper), Forensic Toxicology and Drug Analysis (1 paper), Single-cell and spatial transcriptomics (1 paper), Machine Learning in Bioinformatics (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Genetics (243 citations), Cancer Research (92 citations), Molecular Biology (317 citations), Pathology and Forensic Medicine (36 citations) and Sensory Systems (10 citations). Tymor Hamamsy has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include David Kavanagh, Mark J. Daly, Douglas M. Ruderfer, Kaitlin E. Samocha, Konrad J. Karczewski, Daniel G. MacArthur, Daniel Birnbaum, Ben Weisburd, Brett Thomas and Beryl B. Cummings. Their work appears in journals such as npj Digital Medicine, Nature Biotechnology, Journal of Medical Internet Research, PLoS ONE and Nucleic Acids Research.
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.