R. A. DONALD

5.1k citations
155 papers · 4.0k indexed · h-index 37
Topics
Stress Responses and Cortisol (50 papers)Adrenal Hormones and Disorders (37 papers)Growth Hormone and Insulin-like Growth Factors (30 papers)

In The Last Decade

R. A. DONALD

155 papers receiving 3.8k citations

Peers

R. A. DONALD
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Behavioral Neuroscience 1.1k
  • Physiology 552
  • Social Psychology 548
  • Molecular Biology 451
Replace Maureen Keller‐Wood with:
Maureen Keller‐Wood United States
Mary L. Forsling United Kingdom
L. C. Keil United States
Monika Ehrhart‐Bornstein Germany
Rolf C. Gaillard Switzerland
Erik Endert Netherlands
David J. Torpy Australia
J. D. Veldhuis United States
Jørgen Warberg Denmark
Michel Grino France
R. A. DONALD relative to Maureen Keller‐Wood United States Maureen Keller‐Wood's profile →
Citations per field
00.5×1.5×2.1×
Maureen Keller‐Wood · 1×
Citations per year

Countries citing papers authored by R. A. DONALD

Since Specialization
Citations

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

Fields of papers citing papers by R. A. DONALD

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. A. DONALD

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. DONALD. A scholar is included among the top collaborators of R. A. DONALD based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with R. A. DONALD. R. A. DONALD is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 58
3 9
4 20
5 31
6 19
7 6
8 60
9 7
10 14
11 6
12 27
13 1
14 16
15 17
16 8
17 4
18 5
19 25
20
Measurement of pituitary hormones: clinical applications. 5. Prolactin.
9

About R. A. DONALD

R. A. DONALD is a scholar working on Behavioral Neuroscience, Equine and Endocrinology, Diabetes and Metabolism, having authored 155 papers that have together received 4.0k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (50 papers), Adrenal Hormones and Disorders (37 papers) and Growth Hormone and Insulin-like Growth Factors (30 papers). The work is most often cited by research in Behavioral Neuroscience (1.1k citations), Equine (241 citations) and Endocrinology, Diabetes and Metabolism (1.7k citations). R. A. DONALD has collaborated with scholars based in New Zealand, Australia and Canada. Frequent co-authors include Eric A. Espiner, James Livesey, C. H. G. Irvine, M. J. Ellis, M. J. Evans, Susan Alexander, Mary G. Metcalf, M. Gary Nicholls, Peter R. Joyce and Warrick J. Inder. Their work appears in journals such as Nature, The Lancet and Nature Communications.

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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