E. M. Rivera

804 citations
32 papers · 539 · h-index 12

Impact in

  • Equine top 1%
    • Veterinary Equine Medical Research
    • Animal Behavior and Welfare Studies

Papers in

    • Animal Genetics and Reproduction 4
    • Estrogen and related hormone effects 3
    • Cancer Cells and Metastasis 6
    • Cancer Diagnosis and Treatment 3

E. M. Rivera

31 papers receiving 429 citations

Peers

E. M. Rivera
Comparison fields: 5 of 79
  • Equine 103
  • Small Animals 75
  • Genetics 184
  • Endocrinology, Diabetes and Metabolism 73
  • Oncology 91
Replace P.H. Craig with:
P.H. Craig United States
David H. Townson United States
Satoshi Soeta Japan
Ria B. Oonk Netherlands
Helga Sauerwein Germany
Agnieszka Blitek Poland
Ingrid Brück Bøgh Denmark
H Niedermüller Austria
Justin C. Lamsa United States
C Hoang-Vu Germany
E. M. Rivera relative to P.H. Craig United States P.H. Craig's profile →
Citations per field
00.5×
P.H. Craig · 1×
Citations per year

Countries citing papers authored by E. M. Rivera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with E. M. Rivera Line = papers co-authored together E. M. Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002121
2 196183
3 196452
4 197229
5 196623
6 196722
7 196319
8 201516
9 197015
10 197515
11 196413
12 196513
13 196411
14 198210
15 196610
16 19819
17 19639
18 20038
19 19718
20 19698

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 32 papers that have together received 539 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 (103 citations), Small Animals (75 citations), Genetics (184 citations), Endocrinology, Diabetes and Metabolism (73 citations) and Oncology (91 citations). E. M. Rivera has collaborated with scholars based in United States and France. Frequent co-authors include Howard A. Bern, AJ Zanella, Brian D. Nielsen, Sophiya Benjamin, C W Welsch, E Cummins, Robert Cooper, S. R. Wellings, I. A. Forsyth and S. J. Folley. 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.

Explore authors with similar magnitude of impact