Dan C. Sharp

33 papers receiving 664 citations

Peers

Dan C. Sharp
Comparison fields: 5 of 64
  • Equine 292
  • Agronomy and Crop Science 554
  • Small Animals 73
  • Reproductive Medicine 79
  • Public Health, Environmental and Occupational Health 208
Replace R.P. Del Vecchio with:
R.P. Del Vecchio United States
Drew Thompson United States
J.J. Knickerbocker United States
J. E. Hixon United States
J.R. Diehl United States
F. Cairoli Italy
Joy L. Pate United States
Mehmet Osman Atlı Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Dan C. Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Dan C. Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan C. Sharp. 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 Dan C. Sharp. The network helps show where Dan C. Sharp may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198680
2
The continuum of events leading to maternal recognition of pregnancy in mares.
198967
3 198053
4 201139
5 198039
6 197939
7 197839
8 197832
9 197532
10 198231
11 199030
12 199130
13 197825
14
Effects of artificial light on the oestrous cycle of the mare.
197524
15 199423
16 197322
17 198520
18 199718
19
Comparison of progesterone and progesterone + oestrogen on total and specific uterine proteins in pony mares.
198716
20 198013

About Dan C. Sharp

Dan C. Sharp is a scholar working on Agronomy and Crop Science, Equine, Animal Science and Zoology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 33 papers that have together received 728 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (26 papers), Veterinary Equine Medical Research (21 papers), Reproductive Biology and Fertility (6 papers), Effects of Environmental Stressors on Livestock (5 papers), Reproductive System and Pregnancy (4 papers), Animal health and immunology (3 papers), Ovarian function and disorders (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Equine (292 citations), Agronomy and Crop Science (554 citations), Small Animals (73 citations), Reproductive Medicine (79 citations) and Public Health, Environmental and Occupational Health (208 citations). Dan C. Sharp has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Fuller W. Bazer, W.W. Thatcher, K. J. McDowell, O.J. Ginther, Michael T. Zavy, R. Michael Roberts, R. Michael Roberts, C.J. Wilcox, D. L. Black and Alan D. Ealy. Their work appears in journals such as Biology of Reproduction, Reproduction, Journal of Animal Science, American Journal of Veterinary Research and Domestic Animal 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.

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