Eric Clelland
Impact in
- Physiology top 0.5%
- Reproductive biology and impacts on aquatic species
- Aquatic Science top 5%
- Aquaculture Nutrition and Growth
Papers in ⓘ
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- TGF-β signaling in diseases 5
- Renal and related cancers 4
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- Reproductive Biology and Fertility 6
- Co-authors
- Chun Peng (7 shared papers)Scott P. Kelly (3 shared papers)Qian Tan (2 shared papers)Shunichi Shimasaki (1 shared paper)Shweta Sharma (1 shared paper)R. Keith Campbell (1 shared paper)J. Rothenstein (1 shared paper)Spencer T. Mukai (1 shared paper)
- Journals
- Endocrinology (3 papers)General and Comparative Endocrinology (3 papers)Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology (2 papers)Behaviour (1 paper)Journal of Great Lakes Research (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Eric Clelland
13 papers receiving 682 citations
Peers
Comparison fields: 5 of 65
- Physiology 332
- Aquatic Science 109
- Reproductive Medicine 104
- Genetics 262
- Public Health, Environmental and Occupational Health 246
Countries citing papers authored by Eric Clelland
This map shows the geographic impact of Eric Clelland'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 Clelland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Clelland more than expected).
Fields of papers citing papers by Eric Clelland
This network shows the impact of papers produced by Eric Clelland. 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 Clelland. The network helps show where Eric Clelland may publish in the future.
Co-authors
The 18 scholars most cited alongside Eric Clelland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 231 | |
| 2 | 2005 | 85 | |
| 3 | 2003 | 79 | |
| 4 | 2007 | 64 | |
| 5 | 2005 | 56 | |
| 6 | 2005 | 44 | |
| 7 | 2010 | 42 | |
| 8 | 2008 | 32 | |
| 9 | 2011 | 25 | |
| 10 | 2009 | 19 | |
| 11 | 2001 | 6 | |
| 12 | 2013 | 4 | |
| 13 | 2016 | 2 |
About Eric Clelland
Eric Clelland is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Physiology, Obstetrics and Gynecology and Nature and Landscape Conservation, having authored 13 papers that have together received 689 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), TGF-β signaling in diseases (5 papers), Renal and related cancers (4 papers), Reproductive biology and impacts on aquatic species (4 papers), Pregnancy and preeclampsia studies (3 papers), MicroRNA in disease regulation (2 papers), Reproductive System and Pregnancy (2 papers) and Fish Ecology and Management Studies (2 papers). The work is most often cited by research in Physiology (332 citations), Aquatic Science (109 citations), Reproductive Medicine (104 citations), Genetics (262 citations) and Public Health, Environmental and Occupational Health (246 citations). Eric Clelland has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Chun Peng, Scott P. Kelly, Qian Tan, Shunichi Shimasaki, Shweta Sharma, R. Keith Campbell, J. Rothenstein, Spencer T. Mukai, Tingting Wu and Mazdak Bagherie-Lachidan. Their work appears in journals such as Endocrinology, General and Comparative Endocrinology, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Behaviour and Journal of Great Lakes Research.
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.