P.A. Elder

24 papers receiving 425 citations

Peers

P.A. Elder
Comparison fields: 5 of 92
  • Behavioral Neuroscience 62
  • Equine 17
  • Endocrinology, Diabetes and Metabolism 123
  • Endocrine and Autonomic Systems 39
  • Animal Science and Zoology 42
Replace Kuniaki Takagi with:
Kuniaki Takagi Japan
M. Muscettola Italy
Louise Evans United States
Earn H Gan United Kingdom
T Fait Czechia
Celene Fernandes Bernardes Brazil
Lars Sjödin Sweden
Laird Wilson United States
Sophie Claeyssens France
J. Lindena Germany
P.A. Elder relative to Kuniaki Takagi Japan Kuniaki Takagi's profile →
Citations per field
00.5×6.2×
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 200390
2 198583
3 198551
4 198736
5 200629
6 201627
7 200422
8 198514
9 197613
10 201611
11 201310
12 200910
13 20058
14 20198
15 19726
16 19975
17 19975
18 20065
19 19894
20 19923

About P.A. Elder

P.A. Elder is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pathology and Forensic Medicine, Physiology and Behavioral Neuroscience, having authored 25 papers that have together received 449 indexed citations. Recurring topics across this work include Adrenal Hormones and Disorders (3 papers), Stress Responses and Cortisol (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Hormonal and reproductive studies (2 papers), Plant Virus Research Studies (2 papers), Vitamin D Research Studies (2 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Behavioral Neuroscience (62 citations), Equine (17 citations), Endocrinology, Diabetes and Metabolism (123 citations), Endocrine and Autonomic Systems (39 citations) and Animal Science and Zoology (42 citations). P.A. Elder has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include John G. Lewis, Brett Shand, Russell Scott, Peter M. George, Keren E. Dittmer, Chris Frampton, Els Acke, K.G. Thompson, Erica K. Gee and Jonathan C. Marshall. Their work appears in journals such as Diabetes Obesity and Metabolism, Journal of Organometallic Chemistry, Hormone and Metabolic Research, Redox Report 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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