John P. Pollinger
Impact in
Papers in
- Co-authors
- Robert K. Wayne (26 shared papers)Seth P. D. Riley (6 shared papers)Bridgett M. vonHoldt (6 shared papers)Thomas B. Smith (14 shared papers)Raymond M. Sauvajot (1 shared paper)Todd K. Fuller (1 shared paper)Laurel E. K. Serieys (4 shared papers)Wolfgang Buermann A (9 shared papers)
- Journals
- Molecular Ecology (6 papers)Evolutionary Applications (4 papers)Current Biology (3 papers)Nature (3 papers)Proceedings of the Royal Society B Biological Sciences (3 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
John P. Pollinger
46 papers receiving 5.2k citations
John P. Pollinger's Hit Papers
Peers
Comparison fields: 5 of 92
- Genetics 1.9k
- Ecology 632
- Parasitology 136
- Ecological Modeling 28
- Aging 17
Countries citing papers authored by John P. Pollinger
This map shows the geographic impact of John P. Pollinger'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 P. Pollinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John P. Pollinger more than expected).
Fields of papers citing papers by John P. Pollinger
This network shows the impact of papers produced by John P. Pollinger. 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 P. Pollinger. The network helps show where John P. Pollinger may publish in the future.
Co-authors
The 25 scholars most cited alongside John P. Pollinger, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genome sequence, comparative analysis and haplotype structure of the domestic dog Hit paper breakdown → | 2005 | 1983 |
| 2 | Genome-wide SNP and haplotype analyses reveal a rich history underlying dog domestication Hit paper breakdown → | 2010 | 624 |
| 3 | 2006 | 445 | |
| 4 | 2007 | 173 | |
| 5 | 2007 | 170 | |
| 6 | 2015 | 170 | |
| 7 | 2016 | 169 | |
| 8 | 2006 | 161 | |
| 9 | 2014 | 154 | |
| 10 | 2014 | 99 | |
| 11 | 2016 | 99 | |
| 12 | 2010 | 94 | |
| 13 | 2011 | 77 | |
| 14 | 2009 | 75 | |
| 15 | 2009 | 73 | |
| 16 | 2016 | 68 | |
| 17 | 2009 | 66 | |
| 18 | 2014 | 66 | |
| 19 | 2007 | 63 | |
| 20 | 2009 | 61 |
About John P. Pollinger
John P. Pollinger is a scholar working on Genetics, Ecology, Parasitology, Epidemiology and Virology, having authored 46 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (24 papers), Wildlife Ecology and Conservation (4 papers), Influenza Virus Research Studies (3 papers), Bird parasitology and diseases (2 papers), Rabies epidemiology and control (1 paper), Evolution and Paleontology Studies (1 paper), Animal Behavior and Reproduction (1 paper) and Amphibian and Reptile Biology (1 paper). The work is most often cited by research in Genetics (1.9k citations), Ecology (632 citations), Parasitology (136 citations), Ecological Modeling (28 citations) and Aging (17 citations). John P. Pollinger has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Robert K. Wayne, Seth P. D. Riley, Bridgett M. vonHoldt, Thomas B. Smith, Raymond M. Sauvajot, Todd K. Fuller, Laurel E. K. Serieys, Wolfgang Buermann A, Daniel R. Stahler and Borja Milá. Their work appears in journals such as Molecular Ecology, Evolutionary Applications, Current Biology, Nature and Proceedings of the Royal Society B Biological Sciences.
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.