John C. Patton
Impact in
Papers in
- Genetics 55
- Genetic diversity and population structure 52
- Insect and Arachnid Ecology and Behavior 5
- Genetic and phenotypic traits in livestock 3
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- Bat Biology and Ecology Studies 13
- Co-authors
- John W. Bickham (27 shared papers)John C. Avise (9 shared papers)Matthew A. Cronin (11 shared papers)Charles F. Aquadro (6 shared papers)Thomas R. Loughlin (3 shared papers)Robert A. Lansman (2 shared papers)Joshua Laerm (2 shared papers)Robert J. Baker (5 shared papers)
- Journals
- Journal of Mammalogy (12 papers)Molecular Ecology (5 papers)Evolution (4 papers)Journal of Heredity (3 papers)Molecular Phylogenetics and Evolution (3 papers)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
John C. Patton
79 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 85
- Aging 120
- Genetics 2k
- Paleontology 523
- Ecology, Evolution, Behavior and Systematics 786
- Ecology 536
Countries citing papers authored by John C. Patton
This map shows the geographic impact of John C. Patton'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 C. Patton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Patton more than expected).
Fields of papers citing papers by John C. Patton
This network shows the impact of papers produced by John C. Patton. 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 C. Patton. The network helps show where John C. Patton may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Patton, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 292 | |
| 2 | 1979 | 264 | |
| 3 | 1993 | 192 | |
| 4 | 1996 | 135 | |
| 5 | 1995 | 133 | |
| 6 | 1980 | 122 | |
| 7 | 2005 | 95 | |
| 8 | 1998 | 93 | |
| 9 | 2004 | 92 | |
| 10 | 1980 | 80 | |
| 11 | 1997 | 80 | |
| 12 | 2015 | 72 | |
| 13 | 1980 | 70 | |
| 14 | 1998 | 70 | |
| 15 | 1978 | 69 | |
| 16 | 1996 | 69 | |
| 17 | 2000 | 68 | |
| 18 | 2007 | 67 | |
| 19 | 2004 | 65 | |
| 20 | 1990 | 64 |
About John C. Patton
John C. Patton is a scholar working on Genetics, Ecology, Evolution, Behavior and Systematics, Paleontology, Ecology and Plant Science, having authored 79 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetic diversity and population structure (52 papers), Bat Biology and Ecology Studies (13 papers), Evolution and Paleontology Studies (10 papers), Genomics and Phylogenetic Studies (6 papers), Chromosomal and Genetic Variations (6 papers), Insect and Arachnid Ecology and Behavior (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Marine animal studies overview (2 papers). The work is most often cited by research in Aging (120 citations), Genetics (2k citations), Paleontology (523 citations), Ecology, Evolution, Behavior and Systematics (786 citations) and Ecology (536 citations). John C. Patton has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include John W. Bickham, John C. Avise, Matthew A. Cronin, Charles F. Aquadro, Thomas R. Loughlin, Robert A. Lansman, Joshua Laerm, Robert J. Baker, Mark D. Engstrom and Burton K. Lim. Their work appears in journals such as Journal of Mammalogy, Molecular Ecology, Evolution, Journal of Heredity and Molecular Phylogenetics and Evolution.
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.