Guy Amster
Impact in
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- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Genomics and Rare Diseases
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
Papers in ⓘ
- Genetics 6
- Evolution and Genetic Dynamics 5
- Genetic diversity and population structure 5
- Genetic Associations and Epidemiology 2
- Genetic Mapping and Diversity in Plants and Animals 1
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- Epigenetics and DNA Methylation 1
- Co-authors
- Guy Sella (5 shared papers)Ziyue Gao (1 shared paper)Thomas A. Sasani (1 shared paper)Brent S. Pedersen (1 shared paper)Molly Przeworski (1 shared paper)Priya Moorjani (1 shared paper)Aaron R. Quinlan (1 shared paper)Lynn B. Jorde (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Genetics (2 papers)eLife (1 paper)Frontiers in Pharmacology (1 paper)Value in Health (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Guy Amster
7 papers receiving 264 citations
Peers
Comparison fields: 5 of 70
- Aging 13
- Genetics 151
- Health Informatics 7
- Cancer Research 43
- Paleontology 12
Countries citing papers authored by Guy Amster
This map shows the geographic impact of Guy Amster'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 Guy Amster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Amster more than expected).
Fields of papers citing papers by Guy Amster
This network shows the impact of papers produced by Guy Amster. 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 Guy Amster. The network helps show where Guy Amster may publish in the future.
Co-authors
The 16 scholars most cited alongside Guy Amster, 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 | 2019 | 122 | |
| 2 | 2016 | 65 | |
| 3 | 2023 | 43 | |
| 4 | 2022 | 27 | |
| 5 | 2020 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2020 | 4 | |
| 8 | 2024 | 0 | |
| 9 | 2025 | 0 |
About Guy Amster
Guy Amster is a scholar working on Genetics, Molecular Biology, Artificial Intelligence, Health Information Management and Plant Science, having authored 9 papers that have together received 269 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (5 papers), Genetic diversity and population structure (5 papers), Machine Learning in Healthcare (3 papers), Genetic Associations and Epidemiology (2 papers), Topic Modeling (2 papers), Epigenetics and DNA Methylation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Aging (13 citations), Genetics (151 citations), Health Informatics (7 citations), Cancer Research (43 citations) and Paleontology (12 citations). Guy Amster has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Guy Sella, Ziyue Gao, Thomas A. Sasani, Brent S. Pedersen, Molly Przeworski, Priya Moorjani, Aaron R. Quinlan, Lynn B. Jorde, Eyal Elyashiv and Jonathan Kelly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genetics, eLife, Frontiers in Pharmacology and Value in Health.
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.