Eric M. O’Neill
Impact in
- Ecological Modeling top 5%
- Species Distribution and Climate Change
Papers in
- Genetics 12
- Genetic diversity and population structure 11
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- Amphibian and Reptile Biology 12
- Co-authors
- Karen H. Beard (8 shared papers)David W. Weisrock (5 shared papers)H. Bradley Shaffer (3 shared papers)Michael E. Pfrender (2 shared papers)Karen E. Mock (2 shared papers)Barbara Bentz (1 shared paper)Gabriela Parra‐Olea (2 shared papers)Rachel S. Schwartz (1 shared paper)
- Journals
- Molecular Ecology (5 papers)Copeia (3 papers)Journal of Herpetology (2 papers)Molecular Ecology Resources (1 paper)Journal of Heredity (1 paper)
- Partner nations
- United StatesSouth AfricaMexico
In The Last Decade
Eric M. O’Neill
21 papers receiving 524 citations
Peers
Comparison fields: 5 of 53
- Ecological Modeling 110
- Biological Psychiatry 25
- Global and Planetary Change 220
- Ecology, Evolution, Behavior and Systematics 177
- Insect Science 111
Countries citing papers authored by Eric M. O’Neill
This map shows the geographic impact of Eric M. O’Neill'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 Eric M. O’Neill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric M. O’Neill more than expected).
Fields of papers citing papers by Eric M. O’Neill
This network shows the impact of papers produced by Eric M. O’Neill. 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 Eric M. O’Neill. The network helps show where Eric M. O’Neill may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric M. O’Neill, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 104 | |
| 2 | 2006 | 97 | |
| 3 | 2005 | 68 | |
| 4 | 2009 | 43 | |
| 5 | 2008 | 35 | |
| 6 | 2012 | 34 | |
| 7 | 2016 | 31 | |
| 8 | 1998 | 27 | |
| 9 | 2021 | 24 | |
| 10 | 2010 | 18 | |
| 11 | 1986 | 15 | |
| 12 | 2011 | 15 | |
| 13 | 2012 | 9 | |
| 14 | 1986 | 9 | |
| 15 | 2014 | 9 | |
| 16 | 2017 | 8 | |
| 17 | 2004 | 6 | |
| 18 | 2018 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2012 | 5 |
About Eric M. O’Neill
Eric M. O’Neill is a scholar working on Genetics, Global and Planetary Change, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 22 papers that have together received 573 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (12 papers), Genetic diversity and population structure (11 papers), Genomics and Phylogenetic Studies (6 papers), Animal Behavior and Reproduction (5 papers), Species Distribution and Climate Change (4 papers), Plant and animal studies (4 papers), Identification and Quantification in Food (3 papers) and Turtle Biology and Conservation (2 papers). The work is most often cited by research in Ecological Modeling (110 citations), Biological Psychiatry (25 citations), Global and Planetary Change (220 citations), Ecology, Evolution, Behavior and Systematics (177 citations) and Insect Science (111 citations). Eric M. O’Neill has collaborated with scholars based in United States, South Africa and Mexico. Frequent co-authors include Karen H. Beard, David W. Weisrock, H. Bradley Shaffer, Michael E. Pfrender, Karen E. Mock, Barbara Bentz, Gabriela Parra‐Olea, Rachel S. Schwartz, Claudia Walter and Mary M. Peacock. Their work appears in journals such as Molecular Ecology, Copeia, Journal of Herpetology, Molecular Ecology Resources and Journal of Heredity.
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.