P.A. Elder

24 papers receiving 440 citations

Peers

P.A. Elder
Comparison fields: 5 of 92
  • Behavioral Neuroscience 63
  • Equine 13
  • Endocrinology, Diabetes and Metabolism 111
  • Endocrine and Autonomic Systems 28
  • Animal Science and Zoology 41
Replace Kuniaki Takagi with:
Kuniaki Takagi Japan
Cynthia A. Brown United States
B. Barcikowski Poland
Louise Evans United States
T Fait Czechia
G Asbóth United Kingdom
Celene Fernandes Bernardes Brazil
Laird Wilson United States
Ian F. Gibson United Kingdom
W. Krömer Germany
P.A. Elder relative to Kuniaki Takagi Japan Kuniaki Takagi's profile →
Citations per field
00.5×6.5×
Kuniaki Takagi · 1×
Citations per year

Countries citing papers authored by P.A. Elder

Since Specialization
Citations

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

Fields of papers citing papers by P.A. Elder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.A. Elder. 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 P.A. Elder. The network helps show where P.A. Elder may publish in the future.

Co-authors

The 25 scholars most cited alongside P.A. Elder, 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 P.A. Elder Line = papers co-authored together P.A. Elder 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 200391
2 198586
3 198552
4 198736
5 200630
6 201628
7 200424
8 197617
9 198514
10 201612
11 201311
12 200910
13 19729
14 20058
15 20198
16 19976
17 20065
18 19975
19 19894
20 19923

About P.A. Elder

P.A. Elder is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine, Molecular Biology, Behavioral Neuroscience and Nutrition and Dietetics, having authored 25 papers that have together received 468 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (3 papers), Stress Responses and Cortisol (3 papers), Hormonal and reproductive studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Hypothalamic control of reproductive hormones (2 papers), Estrogen and related hormone effects (2 papers), Microbial Inactivation Methods (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Behavioral Neuroscience (63 citations), Equine (13 citations), Endocrinology, Diabetes and Metabolism (111 citations), Endocrine and Autonomic Systems (28 citations) and Animal Science and Zoology (41 citations). P.A. Elder has collaborated with scholars based in New Zealand, United Kingdom and Japan. Frequent co-authors include John G. Lewis, Brett Shand, Russell Scott, Peter M. George, Keren E. Dittmer, Chris Frampton, Jonathan C. Marshall, B. H. Robinson, K.G. Thompson and Erica K. Gee. Their work appears in journals such as Diabetes Obesity and Metabolism, Hormone and Metabolic Research, Journal of Organometallic Chemistry, New Zealand Veterinary Journal and International Journal of Obesity.

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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