David Casley

3.5k citations
88 papers · 2.9k indexed · h-index 31

Impact in

Papers in

David Casley

88 papers receiving 2.9k citations

Peers

David Casley
Comparison fields: 5 of 106
  • Cardiology and Cardiovascular Medicine 1.5k
  • Nephrology 350
  • Endocrinology, Diabetes and Metabolism 775
  • Physiology 786
  • Endocrine and Autonomic Systems 119
Replace Sandford L. Skinner with:
Sandford L. Skinner Australia
Ole Skøtt Denmark
Flora Sam United States
Jia L. Zhuo United States
H. Sonnenberg Canada
John R. Gill United States
Fumio Niimura Japan
Yasuhide Nakashima Japan
Johannes Stegbauer Germany
Yoshiyuki Toya Japan
David Casley relative to Sandford L. Skinner Australia Sandford L. Skinner's profile →
Citations per field
00.5×1.5×1.9×
Sandford L. Skinner · 1×
Citations per year

Countries citing papers authored by David Casley

Since Specialization
Citations

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

Fields of papers citing papers by David Casley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Casley. 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 David Casley. The network helps show where David Casley may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200931
2 200330
3 200318
4 200154
5 200118
6 199834
7 19987
8 199750
9 199717
10 199631
11 199311
12
Atrial natriuretic peptide (ANP) is a physiological inhibitor of adrenocorticotrophin (ACTH) secretion in the rat
19921
13 19929
14 199212
15 199117
16 199150
17 199011
18 199010
19 198955
20 198931

About David Casley

David Casley is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Physiology, Pharmacology and Genetics, having authored 88 papers that have together received 2.9k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (30 papers), Nitric Oxide and Endothelin Effects (22 papers), Receptor Mechanisms and Signaling (21 papers), Hormonal Regulation and Hypertension (20 papers), Ion channel regulation and function (8 papers), Neuropeptides and Animal Physiology (7 papers), Heart Failure Treatment and Management (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Nephrology (350 citations), Endocrinology, Diabetes and Metabolism (775 citations), Physiology (786 citations) and Endocrine and Autonomic Systems (119 citations). David Casley has collaborated with scholars based in Australia, Japan and United States. Frequent co-authors include Colin I. Johnston, Mark E. Cooper, Siew Yeen Chai, Winifred G. Nayler, Masahiro Kohzuki, Darren J. Kelly, Mark E. Cooper, Zemin Cao, Rachael Dean and Frederick A.O. Mendelsohn. Their work appears in journals such as Clinical and Experimental Pharmacology and Physiology, Journal of Hypertension, Journal of Cardiovascular Pharmacology, European Journal of Pharmacology and Biochemical and Biophysical Research 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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