John J. Ely
Impact in
- Virology top 5%
- HIV Research and Treatment
- Developmental Biology top 10%
Papers in
-
- Epigenetics and DNA Methylation 3
- Molecular Biology Techniques and Applications 3
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- Primate Behavior and Ecology 12
- Co-authors
- Chet C. Sherwood (14 shared papers)Patrick R. Hof (11 shared papers)Michael L Lammey (6 shared papers)William M. Switzer (3 shared papers)Jeffrey A. Kurland (1 shared paper)Bharat Parekh (2 shared papers)Vedapuri Shanmugam (2 shared papers)Walid Heneine (2 shared papers)
- Journals
- American Journal of Primatology (4 papers)International Journal of Primatology (2 papers)Zoo Biology (2 papers)Journal of Virology (1 paper)Genomics (1 paper)
- Partner nations
- United StatesGermanyRussia
In The Last Decade
John J. Ely
39 papers receiving 932 citations
Peers
Comparison fields: 5 of 112
- Virology 117
- Developmental Biology 32
- Social Psychology 206
- Aging 14
- Genetics 165
Countries citing papers authored by John J. Ely
This map shows the geographic impact of John J. Ely'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 J. Ely with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John J. Ely more than expected).
Fields of papers citing papers by John J. Ely
This network shows the impact of papers produced by John J. Ely. 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 J. Ely. The network helps show where John J. Ely may publish in the future.
Co-authors
The 25 scholars most cited alongside John J. Ely, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 183 | |
| 2 | 2015 | 130 | |
| 3 | 2016 | 64 | |
| 4 | 1989 | 42 | |
| 5 | 2012 | 38 | |
| 6 | 2005 | 34 | |
| 7 | 2015 | 32 | |
| 8 | 2005 | 31 | |
| 9 | 2017 | 27 | |
| 10 | 2014 | 27 | |
| 11 | 2010 | 26 | |
| 12 | Use of biomarkers of collagen types I and III fibrosis metabolism to detect cardiovascular and renal disease in chimpanzees (Pan troglodytes). | 2010 | 25 |
| 13 | 2017 | 24 | |
| 14 | 2020 | 23 | |
| 15 | 1998 | 20 | |
| 16 | 2011 | 20 | |
| 17 | 2005 | 19 | |
| 18 | 1992 | 18 | |
| 19 | 2015 | 18 | |
| 20 | 2020 | 17 |
About John J. Ely
John J. Ely is a scholar working on Molecular Biology, Social Psychology, Genetics, Cellular and Molecular Neuroscience and Ecology, having authored 40 papers that have together received 964 indexed citations. Recurring topics across this work include Primate Behavior and Ecology (12 papers), Neuroscience and Neuropharmacology Research (5 papers), Wildlife Ecology and Conservation (4 papers), Animal Behavior and Reproduction (3 papers), Epigenetics and DNA Methylation (3 papers), Genetics and Neurodevelopmental Disorders (3 papers), Molecular Biology Techniques and Applications (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (117 citations), Developmental Biology (32 citations), Social Psychology (206 citations), Aging (14 citations) and Genetics (165 citations). John J. Ely has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Chet C. Sherwood, Patrick R. Hof, Michael L Lammey, William M. Switzer, Jeffrey A. Kurland, Bharat Parekh, Vedapuri Shanmugam, Walid Heneine, Vinod Bhullar and Thomas M. Folks. Their work appears in journals such as American Journal of Primatology, International Journal of Primatology, Zoo Biology, Journal of Virology and Genomics.
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.