A. A. Gidley-Baird

937 citations
19 papers · 770 indexed · h-index 13

A. A. Gidley-Baird

17 papers receiving 728 citations

Peers

A. A. Gidley-Baird
Comparison fields: 5 of 81
  • Physiology 188
  • Reproductive Medicine 237
  • Immunology 277
  • Obstetrics and Gynecology 79
  • Public Health, Environmental and Occupational Health 248
Replace H. N. Tung with:
H. N. Tung United States
Steven Fleming Australia
Ernest Suchanek Croatia
Petra Sipilä Finland
Winnie Shum United States
Koji Nakabayashi Japan
M. C. Shelesnyak Israel
X. Li United States
Shuji Yamano Japan
Y. Yoshimura Japan
A. A. Gidley-Baird relative to H. N. Tung United States H. N. Tung's profile →
Citations per field
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H. N. Tung · 1×
Citations per year

Countries citing papers authored by A. A. Gidley-Baird

Since Specialization
Citations

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

Fields of papers citing papers by A. A. Gidley-Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. A. Gidley-Baird. 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 A. A. Gidley-Baird. The network helps show where A. A. Gidley-Baird may publish in the future.

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1
Abstract #LB-153: Evaluation of non-functional P2X7 receptor as a potential pan cancer therapeutic and diagnostic target
20091
2 200468
3 2004105
4 200342
5 200320
6 20023
7 199150
8 198788
9 198715
10 1986160
11 19861
12 198568
13
The effect on pregnancy of intrauterine administration of antibodies against two pregnancy-associated murine proteins: murine pregnancy-specific beta 1-glycoprotein and murine pregnancy-associated alpha 2-glycoprotein.
198521
14 198521
15 19830
16 19837
17 198254
18 19801
19 197645

About A. A. Gidley-Baird

A. A. Gidley-Baird is a scholar working on Physiology, Equine and Reproductive Medicine, having authored 19 papers that have together received 770 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (5 papers), Ovarian function and disorders (5 papers), Adenosine and Purinergic Signaling (3 papers), Reproductive System and Pregnancy (3 papers), Birth, Development, and Health (2 papers), Animal health and immunology (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Physiology (188 citations), Reproductive Medicine (237 citations) and Immunology (277 citations). A. A. Gidley-Baird has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Douglas M. Saunders, C. O’Neill, Ian Pike, Julian A. Barden, Michael D. Slater, R. N. Porter, Michael J. Sinosich, G. E. Webley, Jack Hearn and Barbara E. Rolfe. Their work appears in journals such as Cancer Research, Annals of the New York Academy of Sciences and Fertility and Sterility.

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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