Duncan J. Campbell

10.7k citations
172 papers · 8.3k indexed · 1 hit paper · h-index 48
Topics
Renin-Angiotensin System Studies (71 papers)Hormonal Regulation and Hypertension (45 papers)Heart Failure Treatment and Management (26 papers)

In The Last Decade

Duncan J. Campbell

171 papers receiving 8.1k citations

Hit Papers

Circulating and tissue angiotensin systems.19872026200020131987100200300400500

Peers

Duncan J. Campbell
Comparison fields: 5 of 152
  • Cardiology and Cardiovascular Medicine 4.5k
  • Molecular Biology 2.8k
  • Endocrinology, Diabetes and Metabolism 2.2k
  • Surgery 1.3k
  • Physiology 965
Replace Kazuaki Shimamoto with:
Kazuaki Shimamoto Japan
Haralambos Gavras United States
Lawrence H. Young United States
Colin I. Johnston Australia
Satoshi Umemura Japan
Maarten A.D.H. Schalekamp Netherlands
Atsuhiro Ichihara Japan
Tetsuji Miura Japan
Hitonobu Tomoike Japan
Neal L. Weintraub United States
Duncan J. Campbell relative to Kazuaki Shimamoto Japan Kazuaki Shimamoto's profile →
Citations per field
00.5×1.5×
Kazuaki Shimamoto · 1×
Citations per year

Countries citing papers authored by Duncan J. Campbell

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Duncan J. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan J. Campbell. A scholar is included among the top collaborators of Duncan J. Campbell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Duncan J. Campbell. Duncan J. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 3
4 7
5 8
6 20
7 6
8 138
9 31
10 2
11 43
12 20
13 155
14 69
15 353
16 106
17 44
18 32
19 18
20 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) and Heart Failure Treatment and Management (26 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.

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