Daniel B. Weissman
Impact in
- Genetics top 5%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Modeling and Simulation top 10%
Papers in
- Genetics 18
- Evolution and Genetic Dynamics 18
- Genetic diversity and population structure 8
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- Genomics and Phylogenetic Studies 3
- Gene Regulatory Network Analysis 3
- Fungal and yeast genetics research 2
- Co-authors
- Marcus W. Feldman (4 shared papers)Daniel S. Fisher (2 shared papers)Michael M. Desai (3 shared papers)Nick Barton (1 shared paper)Oskar Hallatschek (3 shared papers)Katia Koelle (3 shared papers)Ashley Sobel Leonard (1 shared paper)Elodie Ghedin (1 shared paper)
- Journals
- Genetics (5 papers)Journal of Virology (3 papers)Theoretical Population Biology (2 papers)Evolution (2 papers)PLoS ONE (1 paper)
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Daniel B. Weissman
25 papers receiving 585 citations
Peers
Comparison fields: 5 of 66
- Genetics 402
- Modeling and Simulation 27
- Infectious Diseases 72
- Virology 17
- Sociology and Political Science 161
Countries citing papers authored by Daniel B. Weissman
This map shows the geographic impact of Daniel B. Weissman'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 Daniel B. Weissman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel B. Weissman more than expected).
Fields of papers citing papers by Daniel B. Weissman
This network shows the impact of papers produced by Daniel B. Weissman. 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 Daniel B. Weissman. The network helps show where Daniel B. Weissman may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel B. Weissman, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 161 | |
| 2 | 2012 | 76 | |
| 3 | 2017 | 71 | |
| 4 | 2010 | 69 | |
| 5 | 2007 | 36 | |
| 6 | 2014 | 25 | |
| 7 | 2019 | 25 | |
| 8 | 2017 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2014 | 12 | |
| 13 | 2023 | 10 | |
| 14 | 2014 | 8 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2022 | 5 | |
| 19 | 2014 | 4 | |
| 20 | 2018 | 4 |
About Daniel B. Weissman
Daniel B. Weissman is a scholar working on Genetics, Molecular Biology, Sociology and Political Science, Public Health, Environmental and Occupational Health and Ecology, Evolution, Behavior and Systematics, having authored 28 papers that have together received 593 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (18 papers), Evolutionary Game Theory and Cooperation (9 papers), Genetic diversity and population structure (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Influenza Virus Research Studies (4 papers), Genomics and Phylogenetic Studies (3 papers), Gene Regulatory Network Analysis (3 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Genetics (402 citations), Modeling and Simulation (27 citations), Infectious Diseases (72 citations), Virology (17 citations) and Sociology and Political Science (161 citations). Daniel B. Weissman has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Marcus W. Feldman, Daniel S. Fisher, Michael M. Desai, Nick Barton, Oskar Hallatschek, Katia Koelle, Ashley Sobel Leonard, Elodie Ghedin, Benjamin D. Greenbaum and Mahan Ghafari. Their work appears in journals such as Genetics, Journal of Virology, Theoretical Population Biology, Evolution and PLoS ONE.
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.