J Rivera

1.4k citations
42 papers · 1.1k · h-index 20

Impact in

Papers in

J Rivera

39 papers receiving 1.1k citations

Peers

J Rivera
Comparison fields: 5 of 99
  • Agronomy and Crop Science 471
  • Animal Science and Zoology 313
  • Small Animals 118
  • Endocrinology 72
  • Immunology 253
Replace Eveline M. Ibeagha‐Awemu with:
Eveline M. Ibeagha‐Awemu Canada
Cristina Lecchi Italy
Jeanne L. Burton United States
J.H. Burton Canada
Ronald M. Brunner Germany
D.D. Bannerman United States
Kristel Demeyere Belgium
T. K. Goswami India
Pierre Ward Canada
Adrian Molenaar New Zealand
J Rivera relative to Eveline M. Ibeagha‐Awemu Canada Eveline M. Ibeagha‐Awemu's profile →
Citations per field
00.5×1.5×2.3×
Eveline M. Ibeagha‐Awemu · 1×
Citations per year

Countries citing papers authored by J Rivera

Since Specialization
Citations

This map shows the geographic impact of J 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 J Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Rivera more than expected).

Fields of papers citing papers by J Rivera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J 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 J Rivera. The network helps show where J Rivera may publish in the future.

Co-authors

The 25 scholars most cited alongside J 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 J Rivera Line = papers co-authored together J Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003120
2 1985113
3 200595
4 200491
5 200368
6 200359
7 200254
8 200745
9 198444
10 199943
11 198341
12 199238
13 199135
14 200532
15 200429
16 202227
17 200627
18 200625
19 198620
20 199320

About J Rivera

J Rivera is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Radiology, Nuclear Medicine and Imaging, Cell Biology and Small Animals, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (17 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Effects of Environmental Stressors on Livestock (8 papers), Reproductive Physiology in Livestock (7 papers), Animal Nutrition and Physiology (6 papers), Biotin and Related Studies (5 papers), Genetic and phenotypic traits in livestock (5 papers) and Agroforestry and silvopastoral systems (4 papers). The work is most often cited by research in Agronomy and Crop Science (471 citations), Animal Science and Zoology (313 citations), Small Animals (118 citations), Endocrinology (72 citations) and Immunology (253 citations). J Rivera has collaborated with scholars based in United States, Spain and New Zealand. Frequent co-authors include Chaviva Isersky, M. L. Galyean, M. L. Galyean, Kiyoshi Furuichi, Glenn C Duff, M.M. Brashears, N. A. Elam, J. F. Gleghorn, P. J. Defoor and Guy H. Loneragan. Their work appears in journals such as Journal of Animal Science, The Journal of Immunology, Infection and Immunity, Livestock Science and Journal of Food Protection.

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.

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