John Gatesy
Impact in
- Paleontology top 2%
- Evolution and Paleontology Studies
- Genetics top 2%
- Genetic diversity and population structure
- Insect and Arachnid Ecology and Behavior
Papers in
- Genetics 28
- Genetic diversity and population structure 26
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- Genomics and Phylogenetic Studies 23
- Identification and Quantification in Food 3
- Co-authors
- Mark S. Springer (15 shared papers)Rob DeSalle (8 shared papers)Cheryl Y. Hayashi (5 shared papers)Mark P. Simmons (9 shared papers)Ward C. Wheeler (2 shared papers)Robert W. Meredith (7 shared papers)Justin Woods (1 shared paper)Randolph V. Lewis (1 shared paper)
- Journals
- Molecular Phylogenetics and Evolution (15 papers)Systematic Biology (5 papers)Molecular Biology and Evolution (3 papers)Evolution (3 papers)Science (2 papers)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
John Gatesy
38 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 112
- Paleontology 585
- Genetics 1.0k
- Biomaterials 411
- Ecology, Evolution, Behavior and Systematics 535
- Ecology 482
Countries citing papers authored by John Gatesy
This map shows the geographic impact of John Gatesy'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 John Gatesy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gatesy more than expected).
Fields of papers citing papers by John Gatesy
This network shows the impact of papers produced by John Gatesy. 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 John Gatesy. The network helps show where John Gatesy may publish in the future.
Co-authors
The 25 scholars most cited alongside John Gatesy, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 434 | |
| 2 | 1992 | 197 | |
| 3 | 2015 | 191 | |
| 4 | 2002 | 139 | |
| 5 | 1995 | 136 | |
| 6 | 1997 | 128 | |
| 7 | 2005 | 124 | |
| 8 | 2009 | 119 | |
| 9 | 2013 | 94 | |
| 10 | 1992 | 73 | |
| 11 | 2011 | 73 | |
| 12 | 2008 | 73 | |
| 13 | 2013 | 71 | |
| 14 | 2015 | 69 | |
| 15 | 2007 | 67 | |
| 16 | 2015 | 49 | |
| 17 | 2016 | 47 | |
| 18 | 2013 | 44 | |
| 19 | 2017 | 42 | |
| 20 | 2016 | 40 |
About John Gatesy
John Gatesy is a scholar working on Genetics, Molecular Biology, Paleontology, Ecology and Plant Science, having authored 39 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (26 papers), Genomics and Phylogenetic Studies (23 papers), Evolution and Paleontology Studies (15 papers), Chromosomal and Genetic Variations (3 papers), Identification and Quantification in Food (3 papers), Marine animal studies overview (2 papers), Wildlife Ecology and Conservation (2 papers) and Bone and Dental Protein Studies (2 papers). The work is most often cited by research in Paleontology (585 citations), Genetics (1.0k citations), Biomaterials (411 citations), Ecology, Evolution, Behavior and Systematics (535 citations) and Ecology (482 citations). John Gatesy has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mark S. Springer, Rob DeSalle, Cheryl Y. Hayashi, Mark P. Simmons, Ward C. Wheeler, Robert W. Meredith, Justin Woods, Randolph V. Lewis, Richard H. Baker and Elisabeth S. Vrba. Their work appears in journals such as Molecular Phylogenetics and Evolution, Systematic Biology, Molecular Biology and Evolution, Evolution 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.