J.Alan Herd

18 papers receiving 711 citations

Peers

J.Alan Herd
Comparison fields: 5 of 100
  • Behavioral Neuroscience 68
  • Nephrology 96
  • Cardiology and Cardiovascular Medicine 232
  • Endocrinology, Diabetes and Metabolism 79
  • Small Animals 36
Replace Keith L. MacCannell with:
Keith L. MacCannell Canada
Frank Niklasson Sweden
M J Brown United Kingdom
W. Raab United States
Daniel T. Watts United States
J P Koepke United States
M. Bredgaard Sørensen Denmark
R Arendt Germany
M. J. Smith United States
David Lehr United States
J.Alan Herd relative to Keith L. MacCannell Canada Keith L. MacCannell's profile →
Citations per field
00.5×1.5×2.1×
Keith L. MacCannell · 1×
Citations per year

Countries citing papers authored by J.Alan Herd

Since Specialization
Citations

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

Fields of papers citing papers by J.Alan Herd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.Alan Herd. 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 J.Alan Herd. The network helps show where J.Alan Herd may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1964190
2 1971171
3 1969122
4 200068
5 200037
6 196934
7 198334
8 199930
9 197229
10 199416
11 197012
12 199310
13 19748
14 19607
15 19726
16 19845
17 19745
18 19984

About J.Alan Herd

J.Alan Herd is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 18 papers that have together received 788 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (4 papers), Lipoproteins and Cardiovascular Health (4 papers), Nitric Oxide and Endothelin Effects (2 papers), Cancer, Lipids, and Metabolism (2 papers), Lipid metabolism and disorders (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Behavioral Neuroscience (68 citations), Nephrology (96 citations), Cardiology and Cardiovascular Medicine (232 citations), Endocrinology, Diabetes and Metabolism (79 citations) and Small Animals (36 citations). J.Alan Herd has collaborated with scholars based in United States. Frequent co-authors include A. C. Barger, W. H. Morse, Christie M. Ballantyne, Antonio M. Gotto, Roger T. Kelleher, Ali J. Marian, J. Kay Dunn, Laura Ferlic, Herbert Benson and Evan A. Stein. Their work appears in journals such as American Journal of Physiology-Legacy Content, Journal of Pharmacology and Experimental Therapeutics, The American Journal of Cardiology, American Heart Journal and New England Journal of Medicine.

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.

Explore authors with similar magnitude of impact