Eric H. Mills

37 papers receiving 468 citations

Peers

Eric H. Mills
Comparison fields: 5 of 59
  • Endocrine and Autonomic Systems 113
  • Behavioral Neuroscience 40
  • Cellular and Molecular Neuroscience 143
  • Endocrinology, Diabetes and Metabolism 105
  • Cardiology and Cardiovascular Medicine 114
Replace K. R. Borkowski with:
K. R. Borkowski Canada
Gudrun Demmert Germany
S Nagahama Japan
Nobuharu Yamaguchi Canada
Brody Mj United States
E. L. Phelan New Zealand
T. Hedner Sweden
Kathryn Gradin Sweden
Johnson Ak United States
H Matsuguchi Japan
Eric H. Mills relative to K. R. Borkowski Canada K. R. Borkowski's profile →
Citations per field
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K. R. Borkowski · 1×
Citations per year

Countries citing papers authored by Eric H. Mills

Since Specialization
Citations

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

Fields of papers citing papers by Eric H. Mills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric H. Mills. 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 Eric H. Mills. The network helps show where Eric H. Mills may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198850
2 199041
3 197041
4 198238
5 197738
6 199029
7 198820
8 198820
9 197817
10 198414
11 198713
12 198712
13 198012
14 198911
15 197611
16 198611
17 198710
18 198910
19 198710
20 19848

About Eric H. Mills

Eric H. Mills is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Genetics, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 38 papers that have together received 492 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (10 papers), Estrogen and related hormone effects (5 papers), Neuroscience of respiration and sleep (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Stress Responses and Cortisol (4 papers), Adrenal Hormones and Disorders (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (113 citations), Behavioral Neuroscience (40 citations), Cellular and Molecular Neuroscience (143 citations), Endocrinology, Diabetes and Metabolism (105 citations) and Cardiology and Cardiovascular Medicine (114 citations). Eric H. Mills has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include John Chalmers, J. B. Minson, Judith A. Whitworth, Paul M. Pilowsky, Anjaneyulu S. Tadepalli, John P. Coghlan, Derek A. Denton, Bruce A. Scoggins, Guy Drolet and S M Schanberg. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Journal of Pharmacology and Experimental Therapeutics, Journal of Cardiovascular Pharmacology, Canadian Journal of Physiology and Pharmacology and European Journal of 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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