G.I. McRae

1.3k citations
25 papers · 985 · h-index 18

Impact in

Papers in

G.I. McRae

25 papers receiving 871 citations

Peers

G.I. McRae
Comparison fields: 5 of 96
  • Pharmaceutical Science 268
  • Reproductive Medicine 231
  • Small Animals 105
  • Biomaterials 186
  • Equine 17
Replace B. H. Vickery with:
B. H. Vickery United States
C. Dees United States
Frits M. Flesch Netherlands
Michael Mezei Canada
Vikas Dighe India
Roberto Ramoni Italy
Scott G. Kurz United States
Guanlin Wang China
Marina Pacheco Miguel Brazil
M Dvořák Czechia
G.I. McRae relative to B. H. Vickery United States B. H. Vickery's profile →
Citations per field
00.5×1.5×1.9×
B. H. Vickery · 1×
Citations per year

Countries citing papers authored by G.I. McRae

Since Specialization
Citations

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

Fields of papers citing papers by G.I. McRae

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G.I. McRae. 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 G.I. McRae. The network helps show where G.I. McRae may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984214
2 1986128
3 198293
4 198587
5 198451
6
Use of potent LHRH analogues for chronic contraception and pregnancy termination in dogs.
198946
7 198445
8 198533
9 198532
10 198829
11 198027
12 198424
13 199623
14 198121
15 198221
16 198521
17 197918
18 198417
19 198014
20 198412

About G.I. McRae

G.I. McRae is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Small Animals, Molecular Biology and Animal Science and Zoology, having authored 25 papers that have together received 985 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (12 papers), Hormonal and reproductive studies (6 papers), Veterinary Medicine and Surgery (5 papers), Animal Nutrition and Physiology (3 papers), Reproductive Physiology in Livestock (3 papers), Sperm and Testicular Function (3 papers), Ovarian function and disorders (3 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Pharmaceutical Science (268 citations), Reproductive Medicine (231 citations), Small Animals (105 citations), Biomaterials (186 citations) and Equine (17 citations). G.I. McRae has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include B. H. Vickery, Lynda M. Sanders, Danny Lewis, Thomas R. Tice, John J. Nestor, Garry Whitehead, Teresa L. Ho, Gordon H. Jones, Richard E. Falvo and Lisa Sanders. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Contraception, Reproduction and Journal of Controlled Release.

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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