Michael J. Wiser
Impact in
- Genetics top 5%
- Evolution and Genetic Dynamics
- Genetic diversity and population structure
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
- Genetics 12
- Evolution and Genetic Dynamics 12
- Genetic diversity and population structure 2
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- Evolutionary Game Theory and Cooperation 8
- Co-authors
- Richard E. Lenski (3 shared papers)Noah Ribeck (1 shared paper)Jeffrey E. Barrick (2 shared papers)Sébastien Wielgoss (1 shared paper)Dominique Schneider (1 shared paper)Stéphane Cruveiller (1 shared paper)Olivier Tenaillon (1 shared paper)Béatrice Chane-Woon-Ming (1 shared paper)
- Journals
- Computer Applications in Engineering Education (1 paper)PLoS Computational Biology (1 paper)PLoS ONE (1 paper)Artificial Life (1 paper)Science (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Michael J. Wiser
16 papers receiving 697 citations
Michael J. Wiser's Hit Papers
Peers
Comparison fields: 5 of 83
- Genetics 510
- Endocrinology 34
- Molecular Biology 353
- Molecular Medicine 25
- Sociology and Political Science 209
Countries citing papers authored by Michael J. Wiser
This map shows the geographic impact of Michael J. Wiser'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 Michael J. Wiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Wiser more than expected).
Fields of papers citing papers by Michael J. Wiser
This network shows the impact of papers produced by Michael J. Wiser. 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 Michael J. Wiser. The network helps show where Michael J. Wiser may publish in the future.
Co-authors
The 19 scholars most cited alongside Michael J. Wiser, 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 | Long-Term Dynamics of Adaptation in Asexual Populations Hit paper breakdown → | 2013 | 340 |
| 2 | 2012 | 193 | |
| 3 | 2015 | 105 | |
| 4 | 2019 | 15 | |
| 5 | 2016 | 11 | |
| 6 | 2023 | 7 | |
| 7 | 2019 | 7 | |
| 8 | 2017 | 5 | |
| 9 | 2017 | 4 | |
| 10 | 2016 | 4 | |
| 11 | 2018 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2016 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 1983 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2016 | 0 |
About Michael J. Wiser
Michael J. Wiser is a scholar working on Genetics, Sociology and Political Science, Molecular Biology, Public Health, Environmental and Occupational Health and History and Philosophy of Science, having authored 18 papers that have together received 703 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (12 papers), Evolutionary Game Theory and Cooperation (8 papers), Mathematical and Theoretical Epidemiology and Ecology Models (3 papers), Evolution and Science Education (2 papers), Evolutionary Algorithms and Applications (2 papers), CRISPR and Genetic Engineering (2 papers), Genetics, Bioinformatics, and Biomedical Research (2 papers) and Genetic diversity and population structure (2 papers). The work is most often cited by research in Genetics (510 citations), Endocrinology (34 citations), Molecular Biology (353 citations), Molecular Medicine (25 citations) and Sociology and Political Science (209 citations). Michael J. Wiser has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Richard E. Lenski, Noah Ribeck, Jeffrey E. Barrick, Sébastien Wielgoss, Dominique Schneider, Stéphane Cruveiller, Olivier Tenaillon, Béatrice Chane-Woon-Ming, Claudine Médigue and Charles Ofria. Their work appears in journals such as Computer Applications in Engineering Education, PLoS Computational Biology, PLoS ONE, Artificial Life and Science.
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.