E. M. Rivera
Impact in
- Equine top 1%
- Veterinary Equine Medical Research
- Small Animals top 5%
- Animal Behavior and Welfare Studies
Papers in
- Co-authors
- Howard A. Bern (2 shared papers)Sophiya Benjamin (1 shared paper)Brian D. Nielsen (1 shared paper)AJ Zanella (1 shared paper)C W Welsch (1 shared paper)E Cummins (4 shared papers)Robert Cooper (1 shared paper)S. R. Wellings (1 shared paper)
- Journals
- Experimental Biology and Medicine (6 papers)Endocrinology (3 papers)JNCI Journal of the National Cancer Institute (3 papers)Journal of Experimental Zoology (2 papers)Journal of Endocrinology (2 papers)
- Partner nations
- United StatesFrance
In The Last Decade
E. M. Rivera
30 papers receiving 390 citations
Peers
Comparison fields: 5 of 72
- Equine 99
- Small Animals 71
- Genetics 152
- Endocrinology, Diabetes and Metabolism 63
- Animal Science and Zoology 36
Countries citing papers authored by E. M. Rivera
This map shows the geographic impact of E. M. Rivera'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 E. M. Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. M. Rivera more than expected).
Fields of papers citing papers by E. M. Rivera
This network shows the impact of papers produced by E. M. Rivera. 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 E. M. Rivera. The network helps show where E. M. Rivera may publish in the future.
Co-authors
The 22 scholars most cited alongside E. M. Rivera, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 114 | |
| 2 | 1961 | 70 | |
| 3 | 1964 | 40 | |
| 4 | 1972 | 26 | |
| 5 | 1966 | 21 | |
| 6 | 1963 | 16 | |
| 7 | 2015 | 16 | |
| 8 | 1967 | 15 | |
| 9 | 1970 | 14 | |
| 10 | 1965 | 12 | |
| 11 | 1975 | 12 | |
| 12 | 1982 | 9 | |
| 13 | 1964 | 8 | |
| 14 | 2003 | 8 | |
| 15 | 1981 | 8 | |
| 16 | 1971 | 7 | |
| 17 | 1964 | 7 | |
| 18 | 1971 | 6 | |
| 19 | 1989 | 5 | |
| 20 | 1971 | 5 |
About E. M. Rivera
E. M. Rivera is a scholar working on Genetics, Oncology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 452 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Animal Genetics and Reproduction (4 papers), Cancer Diagnosis and Treatment (3 papers), Estrogen and related hormone effects (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Metastasis and carcinoma case studies (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Equine (99 citations), Small Animals (71 citations), Genetics (152 citations), Endocrinology, Diabetes and Metabolism (63 citations) and Animal Science and Zoology (36 citations). E. M. Rivera has collaborated with scholars based in United States and France. Frequent co-authors include Howard A. Bern, Sophiya Benjamin, Brian D. Nielsen, AJ Zanella, C W Welsch, E Cummins, Robert Cooper, S. R. Wellings, S. Vijayaraghavan and I. A. Forsyth. Their work appears in journals such as Experimental Biology and Medicine, Endocrinology, JNCI Journal of the National Cancer Institute, Journal of Experimental Zoology and Journal of Endocrinology.
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.