Bailey D. McKay
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
- Developmental Biology top 10%
Papers in
- Genetics 15
- Genetic diversity and population structure 14
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- Plant and animal studies 7
- Co-authors
- Robert M. Zink (3 shared papers)Herman L. Mays (8 shared papers)Isao Nishiumi (4 shared papers)Cheng‐Te Yao (4 shared papers)Hui Li (1 shared paper)Fasheng Zou (2 shared papers)Fumin Lei (4 shared papers)Gang Song (2 shared papers)
- Journals
- Molecular Phylogenetics and Evolution (3 papers)Journal of Biogeography (3 papers)The Auk (2 papers)Avian Research (1 paper)Systematic Biology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Bailey D. McKay
21 papers receiving 548 citations
Peers
Comparison fields: 5 of 48
- Ecological Modeling 141
- Developmental Biology 30
- Genetics 362
- Ecology, Evolution, Behavior and Systematics 201
- Paleontology 59
Countries citing papers authored by Bailey D. McKay
This map shows the geographic impact of Bailey D. McKay'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 Bailey D. McKay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bailey D. McKay more than expected).
Fields of papers citing papers by Bailey D. McKay
This network shows the impact of papers produced by Bailey D. McKay. 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 Bailey D. McKay. The network helps show where Bailey D. McKay may publish in the future.
Co-authors
The 25 scholars most cited alongside Bailey D. McKay, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2012 | 78 | |
| 3 | 2013 | 64 | |
| 4 | 2014 | 36 | |
| 5 | 2013 | 28 | |
| 6 | 2014 | 27 | |
| 7 | 2011 | 26 | |
| 8 | 2012 | 25 | |
| 9 | 2010 | 23 | |
| 10 | 2010 | 21 | |
| 11 | 2020 | 19 | |
| 12 | 2009 | 16 | |
| 13 | 2008 | 13 | |
| 14 | 2010 | 11 | |
| 15 | 2005 | 9 | |
| 16 | 2015 | 6 | |
| 17 | 2013 | 2 | |
| 18 | 2008 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2008 | 1 |
About Bailey D. McKay
Bailey D. McKay is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Ecology, Molecular Biology and Nature and Landscape Conservation, having authored 21 papers that have together received 567 indexed citations. Recurring topics across this work include Genetic diversity and population structure (14 papers), Plant and animal studies (7 papers), Wildlife Ecology and Conservation (4 papers), Species Distribution and Climate Change (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Avian ecology and behavior (3 papers), Genomics and Phylogenetic Studies (3 papers) and Amphibian and Reptile Biology (3 papers). The work is most often cited by research in Ecological Modeling (141 citations), Developmental Biology (30 citations), Genetics (362 citations), Ecology, Evolution, Behavior and Systematics (201 citations) and Paleontology (59 citations). Bailey D. McKay has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Robert M. Zink, Herman L. Mays, Isao Nishiumi, Cheng‐Te Yao, Hui Li, Fasheng Zou, Fumin Lei, Gang Song, Ruiying Zhang and Yanhua Qu. Their work appears in journals such as Molecular Phylogenetics and Evolution, Journal of Biogeography, The Auk, Avian Research 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.