J. Sumar

1.1k citations
28 papers · 832 · h-index 18

Impact in

  • Equine top 0.5%
    • Veterinary Equine Medical Research
    • Reproductive Physiology in Livestock
    • Ruminant Nutrition and Digestive Physiology

Papers in

J. Sumar

27 papers receiving 686 citations

Peers

J. Sumar
Comparison fields: 5 of 50
  • Equine 240
  • Agronomy and Crop Science 645
  • Reproductive Medicine 171
  • Small Animals 151
  • Genetics 301
Replace S. Fernández-Baca with:
S. Fernández-Baca United States
John R. Newcombe United Kingdom
Marta Siemieniuch Poland
Ippolito De Amicis Italy
Juan Cuervo‐Arango Spain
Squires El United States
L. Zarco Mexico
Wayne G. Etherington Canada
Stabenfeldt Gh United States
Donald W. Holtan United States
J. Sumar relative to S. Fernández-Baca United States S. Fernández-Baca's profile →
Citations per field
00.5×5.2×
S. Fernández-Baca · 1×
Citations per year

Countries citing papers authored by J. Sumar

Since Specialization
Citations

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

Fields of papers citing papers by J. Sumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside J. Sumar, 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. Sumar Line = papers co-authored together J. Sumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990126
2 199185
3 199565
4 198953
5 197951
6
Studies on reproductive pathology in alpacas
198343
7
Removal of the ovaries or ablation of the corpus luteum and its effect on the maintenance of gestation in the alpaca and llama.
198842
8 199639
9 198035
10 198833
11 199330
12 198527
13 199025
14 201225
15 199125
16 201324
17 199819
18 199417
19 198814
20 199112

About J. Sumar

J. Sumar is a scholar working on Agronomy and Crop Science, Equine, Genetics, Food Science and Small Animals, having authored 28 papers that have together received 832 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (21 papers), Veterinary Equine Medical Research (9 papers), Genetic and phenotypic traits in livestock (7 papers), Animal Diversity and Health Studies (4 papers), Veterinary Medicine and Surgery (2 papers), Animal health and immunology (2 papers), Wildlife Ecology and Conservation (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Equine (240 citations), Agronomy and Crop Science (645 citations), Reproductive Medicine (171 citations), Small Animals (151 citations) and Genetics (301 citations). J. Sumar has collaborated with scholars based in Peru, United States and United Kingdom. Frequent co-authors include O.J. Ginther, Gregory P. Adams, P. Walter Bravo, M. Forsberg, L.‐E. Edqvist, W. C. Foote, Peter W. Nathanielsz, William Hansel, H. Kindahl and S. Fernández-Baca. Their work appears in journals such as Animal Reproduction Science, Theriogenology, Acta veterinaria Scandinavica, Journal of the American Veterinary Medical Association and Journal of Arid Environments.

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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