J. Sumar

1.1k citations
26 papers · 722 indexed · h-index 16

J. Sumar

24 papers receiving 628 citations

Peers

J. Sumar
Comparison fields: 5 of 48
  • Equine 209
  • Agronomy and Crop Science 583
  • Small Animals 145
  • Reproductive Medicine 163
  • Genetics 258
Replace S. Fernández-Baca with:
S. Fernández-Baca United States
Marta Siemieniuch Poland
L. Zarco Mexico
G. S. Frazer United States
John R. Newcombe United Kingdom
Juan Cuervo‐Arango Spain
Wayne G. Etherington Canada
Squires El United States
M. A. Memon United States
Denis Vaillancourt Canada
J. Sumar relative to S. Fernández-Baca United States S. Fernández-Baca's profile →
Citations per field
00.5×4.4×
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-authorship network

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
#Work
1 20160
2 201322
3
Twin reciprocal embryo transfer between alpacas and llamas
20122
4 201222
5 199815
6 199561
7 199416
8 199328
9 199110
10 199120
11 19918
12 1990118
13 199022
14 198947
15 198812
16 198832
17
Removal of the ovaries or ablation of the corpus luteum and its effect on the maintenance of gestation in the alpaca and llama.
198840
18
Studies on reproductive pathology in alpacas
198339
19 198032
20 19791

About J. Sumar

J. Sumar is a scholar working on Equine, Agronomy and Crop Science and Small Animals, having authored 26 papers that have together received 722 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (19 papers), Veterinary Equine Medical Research (8 papers), Genetic and phenotypic traits in livestock (6 papers), Animal Diversity and Health Studies (3 papers), Veterinary Medicine and Surgery (2 papers), Reproductive Biology and Fertility (2 papers), Sperm and Testicular Function (2 papers) and Animal health and immunology (2 papers). The work is most often cited by research in Equine (209 citations), Agronomy and Crop Science (583 citations) and Small Animals (145 citations). J. Sumar has collaborated with scholars based in Peru, United States and Sweden. Frequent co-authors include Gregory P. Adams, O.J. Ginther, P. Walter Bravo, L.‐E. Edqvist, W. C. Foote, M. Forsberg, Peter W. Nathanielsz, S. Fernández-Baca, H. Kindahl and William Hansel. Their work appears in journals such as Animal Reproduction Science, Theriogenology, Acta veterinaria Scandinavica, Journal of the American Veterinary Medical Association and Placenta.

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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