Michael R. May
Impact in
- Paleontology top 5%
- Evolution and Paleontology Studies
-
- Plant Diversity and Evolution
- Plant and animal studies
Papers in
-
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 1
- Genetics 7
- Evolution and Genetic Dynamics 5
- Genetic diversity and population structure 4
- Co-authors
- Brian R. Moore (8 shared papers)Sebastian Höhna (5 shared papers)Bruce Rannala (3 shared papers)John P. Huelsenbeck (1 shared paper)Andrew F. Magee (1 shared paper)Carrie M. Tribble (4 shared papers)Joëlle Barido‐Sottani (2 shared papers)Michael J. Landis (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Methods in Ecology and Evolution (2 papers)PLoS ONE (2 papers)Science Advances (2 papers)Systematic Biology (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Michael R. May
17 papers receiving 750 citations
Peers
Comparison fields: 5 of 66
- Paleontology 242
- Ecology, Evolution, Behavior and Systematics 265
- Horticulture 13
- Nature and Landscape Conservation 137
- Ecological Modeling 47
Countries citing papers authored by Michael R. May
This map shows the geographic impact of Michael R. May'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 R. May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. May more than expected).
Fields of papers citing papers by Michael R. May
This network shows the impact of papers produced by Michael R. May. 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 R. May. The network helps show where Michael R. May may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael R. May, 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 | 2016 | 235 | |
| 2 | 2018 | 115 | |
| 3 | 2015 | 108 | |
| 4 | 2016 | 82 | |
| 5 | 2021 | 64 | |
| 6 | 2016 | 38 | |
| 7 | 2014 | 35 | |
| 8 | 2009 | 25 | |
| 9 | 2020 | 16 | |
| 10 | 2022 | 10 | |
| 11 | 2023 | 10 | |
| 12 | 2024 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2025 | 0 |
About Michael R. May
Michael R. May is a scholar working on Molecular Biology, Genetics, Paleontology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 18 papers that have together received 752 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (6 papers), Genomics and Phylogenetic Studies (5 papers), Evolution and Genetic Dynamics (5 papers), Genetic diversity and population structure (4 papers), Geology and Paleoclimatology Research (2 papers), Mediterranean and Iberian flora and fauna (1 paper), Botany, Ecology, and Taxonomy Studies (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Paleontology (242 citations), Ecology, Evolution, Behavior and Systematics (265 citations), Horticulture (13 citations), Nature and Landscape Conservation (137 citations) and Ecological Modeling (47 citations). Michael R. May has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Brian R. Moore, Sebastian Höhna, Bruce Rannala, John P. Huelsenbeck, Andrew F. Magee, Carrie M. Tribble, Joëlle Barido‐Sottani, Michael J. Landis, Bjørn Tore Kopperud and Jun Ying Lim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Methods in Ecology and Evolution, PLoS ONE, Science Advances and Systematic Biology.
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.