David J. CASLEY

88 papers receiving 3.0k citations

Peers

David J. CASLEY
Comparison fields: 5 of 104
  • Cardiology and Cardiovascular Medicine 1.4k
  • Nephrology 334
  • Endocrinology, Diabetes and Metabolism 689
  • Physiology 788
  • Endocrine and Autonomic Systems 136
Replace Roland Albert Veelken with:
Roland Albert Veelken Germany
Volkmar Groß Germany
Ole Skøtt Denmark
Kazuwa Nakao Japan
Jia Long Zhuo United States
Yasuhide Nakashima Japan
Madhu B. Anand‐Srivastava Canada
San‐e Ishikawa Japan
Yiu-Fai Chen United States
Paul C. Churchill United States
David J. CASLEY relative to Roland Albert Veelken Germany Roland Albert Veelken's profile →
Citations per field
00.5×1.5×1.9×
Roland Albert Veelken · 1×
Citations per year

Countries citing papers authored by David J. CASLEY

Since Specialization
Citations

This map shows the geographic impact of David J. 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 J. 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 J. CASLEY more than expected).

Fields of papers citing papers by David J. CASLEY

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999426
2 2010132
3 2000122
4 2002112
5 1989107
6 1991102
7 198994
8 200991
9 199073
10 200171
11 199771
12 199967
13 199663
14 199362
15 198958
16 199156
17 200156
18 200155
19 199754
20 200151

About David J. CASLEY

David J. CASLEY is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Pharmacology, having authored 88 papers that have together received 3.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (29 papers), Nitric Oxide and Endothelin Effects (22 papers), Receptor Mechanisms and Signaling (20 papers), Hormonal Regulation and Hypertension (11 papers), Ion channel regulation and function (8 papers), Neuropeptides and Animal Physiology (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Nephrology (334 citations), Endocrinology, Diabetes and Metabolism (689 citations), Physiology (788 citations) and Endocrine and Autonomic Systems (136 citations). David J. 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 Emmanuel Cooper, Zemin Cao, Rachael G. Dean and Terri J. Allen. 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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