David M. Irwin
Impact in
- Genetics top 0.2%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Paleontology top 1%
- Evolution and Paleontology Studies
Papers in
- Genetics 71
- Animal Genetics and Reproduction 26
- Genetic and phenotypic traits in livestock 18
- Genetic diversity and population structure 17
- Co-authors
- Allan C. WilsonThomas D. KocherYa‐Ping ZhangDong‐Dong WuSvante PääboHuanran TanYongyi ShenGuodong Wang
- Journals
- PLoS ONE (17 papers)Scientific Reports (11 papers)Molecular Biology and Evolution (10 papers)Journal of Molecular Evolution (9 papers)General and Comparative Endocrinology (7 papers)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
David M. Irwin
241 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Genetics 3.3k
- Paleontology 635
- Aquatic Science 463
- Ecology 1.6k
- Ecological Modeling 261
Countries citing papers authored by David M. Irwin
This map shows the geographic impact of David M. Irwin'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 David M. Irwin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Irwin more than expected).
Fields of papers citing papers by David M. Irwin
This network shows the impact of papers produced by David M. Irwin. 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 David M. Irwin. The network helps show where David M. Irwin may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Irwin, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 28 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 30 | |
| 10 | 2022 | 33 | |
| 11 | 2021 | 5 | |
| 12 | 2018 | 19 | |
| 13 | 2017 | 37 | |
| 14 | 2016 | 10 | |
| 15 | 2013 | 76 | |
| 16 | 2013 | 207 | |
| 17 | 2013 | 5 | |
| 18 | 2012 | 8 | |
| 19 | 2012 | 30 | |
| 20 | 2010 | 19 |
About David M. Irwin
David M. Irwin is a scholar working on Genetics, Animal Science and Zoology, Molecular Biology, Equine and Endocrine and Autonomic Systems, having authored 249 papers that have together received 8.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (27 papers), Animal Genetics and Reproduction (26 papers), Genomics and Phylogenetic Studies (24 papers), Genetic and phenotypic traits in livestock (18 papers), Diabetes Treatment and Management (17 papers), Genetic diversity and population structure (17 papers), Neuropeptides and Animal Physiology (16 papers) and RNA and protein synthesis mechanisms (15 papers). The work is most often cited by research in Genetics (3.3k citations), Paleontology (635 citations), Aquatic Science (463 citations), Ecology (1.6k citations) and Ecological Modeling (261 citations). David M. Irwin has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Allan C. Wilson, Thomas D. Kocher, Ya‐Ping Zhang, Allan C. Wilson, Dong‐Dong Wu, Svante Pääbo, Huanran Tan, Yongyi Shen, Guodong Wang and Zhiyuan Gong. Their work appears in journals such as PLoS ONE, Scientific Reports, Molecular Biology and Evolution, Journal of Molecular Evolution and General and Comparative Endocrinology.
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.