Jack Kamm
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Forensic and Genetic Research
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Evolution and Genetic Dynamics
- Paleontology top 10%
- Archaeology and ancient environmental studies
Papers in
- Genetics 9
- Genetic diversity and population structure 6
- Forensic and Genetic Research 4
- Evolution and Genetic Dynamics 3
- Genetic Mapping and Diversity in Plants and Animals 2
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- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Y. Song (10 shared papers)Jonathan Terhorst (3 shared papers)J. Edward Spence (4 shared papers)Richard M. Durbin (1 shared paper)Matthias Steinrücken (2 shared papers)Ripan Singh Malhi (1 shared paper)J. Víctor Moreno-Mayar (1 shared paper)Martin Sikora (1 shared paper)
- Journals
- Advances in Applied Probability (2 papers)Genetics (2 papers)Molecular Ecology (1 paper)Transfusion (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Jack Kamm
16 papers receiving 1.1k citations
Jack Kamm's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 645
- Paleontology 107
- Anthropology 106
- Archeology 82
- Ecological Modeling 32
Countries citing papers authored by Jack Kamm
This map shows the geographic impact of Jack Kamm'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 Jack Kamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Kamm more than expected).
Fields of papers citing papers by Jack Kamm
This network shows the impact of papers produced by Jack Kamm. 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 Jack Kamm. The network helps show where Jack Kamm may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Kamm, 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 | Robust and scalable inference of population history from hundreds of unphased whole genomes Hit paper breakdown → | 2016 | 555 |
| 2 | 2018 | 215 | |
| 3 | 2019 | 93 | |
| 4 | 2018 | 47 | |
| 5 | 2019 | 41 | |
| 6 | 2020 | 29 | |
| 7 | 2016 | 28 | |
| 8 | 2020 | 19 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 11 | |
| 11 | 2012 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 1985 | 8 | |
| 14 | 2012 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2016 | 3 |
About Jack Kamm
Jack Kamm is a scholar working on Genetics, Infectious Diseases, Cancer Research, Molecular Biology and Biochemistry, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Forensic and Genetic Research (4 papers), Evolution and Genetic Dynamics (3 papers), Cancer Genomics and Diagnostics (2 papers), Gene expression and cancer classification (2 papers), Genomics and Phylogenetic Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Genetics (645 citations), Paleontology (107 citations), Anthropology (106 citations), Archeology (82 citations) and Ecological Modeling (32 citations). Jack Kamm has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Y. Song, Jonathan Terhorst, J. Edward Spence, Richard M. Durbin, Matthias Steinrücken, Ripan Singh Malhi, J. Víctor Moreno-Mayar, Martin Sikora, Simon Rasmussen and Joel D. Irish. Their work appears in journals such as Advances in Applied Probability, Genetics, Molecular Ecology, Transfusion and Nature.
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.