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
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- Pharmacovigilance and Adverse Drug Reactions 1
- Forensic Toxicology and Drug Analysis 1
- Co-authors
- Daniel G. MacArthur (2 shared papers)Douglas M. Ruderfer (2 shared papers)Konrad J. Karczewski (2 shared papers)Kaitlin E. Samocha (2 shared papers)Mark J. Daly (2 shared papers)David Kavanagh (2 shared papers)Brett Thomas (1 shared paper)Monkol Lek (1 shared paper)
- Journals
- Nature Genetics (1 paper)Journal of Medical Internet Research (1 paper)npj Digital Medicine (1 paper)Nucleic Acids Research (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesCzechiaCanada
In The Last Decade
Tymor Hamamsy
7 papers receiving 662 citations
Tymor Hamamsy's Hit Papers
Peers
Comparison fields: 5 of 89
- Genetics 289
- Cancer Research 115
- Molecular Biology 369
- Pathology and Forensic Medicine 46
- Hematology 25
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 | 452 |
| 2 | 2016 | 104 | |
| 3 | 2023 | 60 | |
| 4 | 2022 | 37 | |
| 5 | 2021 | 8 | |
| 6 | 2021 | 7 | |
| 7 | 2025 | 3 |
About Tymor Hamamsy
Tymor Hamamsy is a scholar working on Molecular Biology, Toxicology, Genetics, Infectious Diseases and Health, having authored 7 papers that have together received 671 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), Single-cell and spatial transcriptomics (1 paper), Machine Learning in Bioinformatics (1 paper), Cell Image Analysis Techniques (1 paper), Pharmacovigilance and Adverse Drug Reactions (1 paper), Computational Drug Discovery Methods (1 paper) and Forensic Toxicology and Drug Analysis (1 paper). The work is most often cited by research in Genetics (289 citations), Cancer Research (115 citations), Molecular Biology (369 citations), Pathology and Forensic Medicine (46 citations) and Hematology (25 citations). Tymor Hamamsy has collaborated with scholars based in United States, Czechia and Canada. Frequent co-authors include Daniel G. MacArthur, Douglas M. Ruderfer, Konrad J. Karczewski, Kaitlin E. Samocha, Mark J. Daly, David Kavanagh, Brett Thomas, Monkol Lek, Beryl B. Cummings and Matthew Solomonson. Their work appears in journals such as Nature Genetics, Journal of Medical Internet Research, npj Digital Medicine, Nucleic Acids Research and Nature Biotechnology.
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.