Cathy A. Bruner

26 papers receiving 497 citations

Peers

Cathy A. Bruner
Comparison fields: 5 of 54
  • Cardiology and Cardiovascular Medicine 291
  • Endocrine and Autonomic Systems 66
  • Behavioral Neuroscience 29
  • Endocrinology, Diabetes and Metabolism 129
  • Physiology 142
Replace Gregor Fink with:
Gregor Fink Germany
F. H. H. Leenen Canada
J. S. Hutchinson Australia
K. R. Borkowski Canada
Eric H. Mills Australia
Carlos M. Villalón Mexico
Gudrun Demmert Germany
Brian P. Rowe United States
Mizue Suzuki‐Kusaba Japan
Patricia B. Bunting United States
Cathy A. Bruner relative to Gregor Fink Germany Gregor Fink's profile →
Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Cathy A. Bruner

Since Specialization
Citations

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

Fields of papers citing papers by Cathy A. Bruner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987149
2 198539
3 198630
4 198629
5 198726
6 198524
7 199023
8 199221
9 198521
10 198718
11 199418
12 198818
13 198512
14 199010
15 198610
16 19889
17 19839
18 19868
19
Physiology of vascular smooth muscle in relation to hypertension.
19887
20 19877

About Cathy A. Bruner

Cathy A. Bruner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 511 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (10 papers), Receptor Mechanisms and Signaling (7 papers), Hormonal Regulation and Hypertension (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Neuropeptides and Animal Physiology (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Adipose Tissue and Metabolism (2 papers) and Biochemical effects in animals (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (291 citations), Endocrine and Autonomic Systems (66 citations), Behavioral Neuroscience (29 citations), Endocrinology, Diabetes and Metabolism (129 citations) and Physiology (142 citations). Cathy A. Bruner has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Gregory D. Fink, Michael L. Mangiapane, R. Clinton Webb, Gregor Fink, Clinton Webb, Pentti T. Jokelainen, J. H. Myers, Charles F. Sing, Gershon Fink and Fred S. Lamb. Their work appears in journals such as Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of Pharmacology and Experimental Therapeutics, Pharmacology and Inflammation Research.

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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