Duncan J. Campbell
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- Renin-Angiotensin System Studies 71
- Heart Failure Treatment and Management 26
- Cardiovascular Function and Risk Factors 21
- Blood Pressure and Hypertension Studies 18
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- Hormonal Regulation and Hypertension 45
- Genetics top 1%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 24
- Physiology top 1%
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 20
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- Neuropeptides and Animal Physiology 9
- Co-authors
- Athena KladisAnn-Maree DuncanMurray EslerBruce E. KempJoël MénardBarry DixonSandford L. SkinnerJohn Santamaria
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Duncan J. Campbell
171 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Cardiology and Cardiovascular Medicine 4.5k
- Endocrinology, Diabetes and Metabolism 2.2k
- Genetics 808
- Physiology 235
- Molecular Biology 2.8k
Countries citing papers authored by Duncan J. Campbell
This map shows the geographic impact of Duncan J. Campbell'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 Duncan J. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duncan J. Campbell more than expected).
Fields of papers citing papers by Duncan J. Campbell
This network shows the impact of papers produced by Duncan J. Campbell. 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 Duncan J. Campbell. The network helps show where Duncan J. Campbell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Duncan J. Campbell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 3 | |
| 4 | 2021 | 7 | |
| 5 | 2016 | 8 | |
| 6 | 2013 | 20 | |
| 7 | 2012 | 6 | |
| 8 | 2010 | 138 | |
| 9 | 2010 | 31 | |
| 10 | 2009 | 2 | |
| 11 | 2005 | 43 | |
| 12 | 2005 | 20 | |
| 13 | 2004 | 155 | |
| 14 | 2004 | 69 | |
| 15 | 2003 | 353 | |
| 16 | 2003 | 106 | |
| 17 | 2001 | 44 | |
| 18 | 1995 | 32 | |
| 19 | 1989 | 18 | |
| 20 | 1981 | 1 |
About Duncan J. Campbell
Duncan J. Campbell is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Genetics, having authored 172 papers that have together received 8.3k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (71 papers), Hormonal Regulation and Hypertension (45 papers), Heart Failure Treatment and Management (26 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (24 papers), Cardiovascular Function and Risk Factors (21 papers), Receptor Mechanisms and Signaling (20 papers), Blood Pressure and Hypertension Studies (18 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (4.5k citations), Endocrinology, Diabetes and Metabolism (2.2k citations) and Genetics (808 citations). Duncan J. Campbell has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Athena Kladis, Ann-Maree Duncan, Murray Esler, Bruce E. Kemp, Joël Ménard, Barry Dixon, Sandford L. Skinner, John Santamaria, Henry Krum and Sid Murthy. Their work appears in journals such as Nature, Journal of Biological Chemistry and Circulation.
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.