G.I. McRae

1.3k citations
32 papers · 1.2k · h-index 19

Impact in

Papers in

G.I. McRae

30 papers receiving 980 citations

Peers

G.I. McRae
Comparison fields: 5 of 101
  • Pharmaceutical Science 291
  • Reproductive Medicine 308
  • Small Animals 108
  • Biomaterials 198
  • Equine 17
Replace B. H. Vickery with:
B. H. Vickery United States
C. Dees United States
Frits M. Flesch Netherlands
Verónica López United States
Vikas Dighe India
Perumal Nagarajan India
Guanlin Wang China
Zdzisław Krawczyk Poland
Toshiro Heya Japan
Alice Pierre France
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 25 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984236
2 1986136
3 1982116
4 198599
5 198461
6 198456
7
Use of potent LHRH analogues for chronic contraception and pregnancy termination in dogs.
198947
8 198536
9 199635
10 198835
11 198533
12 198429
13 198528
14 198028
15 198127
16 198225
17 198422
18 198420
19 197919
20 198417

About G.I. McRae

G.I. McRae is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Small Animals and Animal Science and Zoology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (14 papers), Hormonal and reproductive studies (7 papers), Veterinary Medicine and Surgery (5 papers), Ovarian function and disorders (3 papers), Sperm and Testicular Function (3 papers), Animal Nutrition and Physiology (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Reproductive Physiology in Livestock (3 papers). The work is most often cited by research in Pharmaceutical Science (291 citations), Reproductive Medicine (308 citations), Small Animals (108 citations), Biomaterials (198 citations) and Equine (17 citations). G.I. McRae has collaborated with scholars based in United States, Poland and France. Frequent co-authors include B. H. Vickery, Lynda M. Sanders, John J. Nestor, Danny Lewis, Thomas R. Tice, Teresa L. Ho, Garry Whitehead, Gordon H. Jones, R. Tahilramani and B. D. Schanbacher. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences, Contraception, Journal of Andrology and Reproduction.

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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