T. O’Shea

733 citations
41 papers · 580 · h-index 14

Impact in

Papers in

T. O’Shea

40 papers receiving 551 citations

Peers

T. O’Shea
Comparison fields: 5 of 56
  • Agronomy and Crop Science 328
  • Reproductive Medicine 111
  • Equine 19
  • Genetics 234
  • Public Health, Environmental and Occupational Health 220
Replace M. Gibb with:
M. Gibb New Zealand
K. Larsson Sweden
Mohamed S. Medan Egypt
W. C. Becker United States
B. H. Johnson United States
Etsushi KANEKO Japan
C. G. Tsonis United Kingdom
Shokichi Iwamura Japan
Andrés Kowalski United States
Ikuo Domeki Japan
T. O’Shea relative to M. Gibb New Zealand M. Gibb's profile →
Citations per field
00.5×1.5×1.8×
M. Gibb · 1×
Citations per year

Countries citing papers authored by T. O’Shea

Since Specialization
Citations

This map shows the geographic impact of T. O’Shea'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 T. O’Shea with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. O’Shea more than expected).

Fields of papers citing papers by T. O’Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. O’Shea. 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 T. O’Shea. The network helps show where T. O’Shea may publish in the future.

Co-authors

The 25 scholars most cited alongside T. O’Shea, 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 T. O’Shea Line = papers co-authored together T. O’Shea links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199276
2 198653
3 198645
4 199443
5 199229
6 198726
7 199923
8 196523
9 198722
10 200321
11 199317
12 198716
13 196615
14 198913
15
Immunological manipulation of ovulation rate for twinning in cattle.
199512
16 200211
17 197811
18 197810
19 196610
20 196610

About T. O’Shea

T. O’Shea is a scholar working on Agronomy and Crop Science, Genetics, Public Health, Environmental and Occupational Health, Molecular Biology and Reproductive Medicine, having authored 41 papers that have together received 580 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (23 papers), Genetic and phenotypic traits in livestock (16 papers), Reproductive Biology and Fertility (10 papers), Sperm and Testicular Function (7 papers), Effects of Environmental Stressors on Livestock (4 papers), Bone Metabolism and Diseases (3 papers), TGF-β signaling in diseases (3 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Agronomy and Crop Science (328 citations), Reproductive Medicine (111 citations), Equine (19 citations), Genetics (234 citations) and Public Health, Environmental and Occupational Health (220 citations). T. O’Shea has collaborated with scholars based in Australia, United States and France. Frequent co-authors include B. M. Bindon, R. G. WALES, J. K. Findlay, R. Webb, RG Wales, Andy Law, D.N. Logue, Gwen Baxter, Stephen Anderson and Marc Antoine Driancourt. Their work appears in journals such as Reproduction, Reproduction Fertility and Development, Animal Reproduction Science, Theriogenology and Reproduction in Domestic Animals.

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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