Scott E. Campbell

3.5k citations
63 papers · 2.7k indexed · h-index 28
Topics
Cardiovascular Function and Risk Factors (13 papers)Cardiac Fibrosis and Remodeling (13 papers)Cardiac Imaging and Diagnostics (7 papers)

In The Last Decade

Scott E. Campbell

59 papers receiving 2.6k citations

Peers

Scott E. Campbell
Comparison fields: 5 of 127
  • Cardiology and Cardiovascular Medicine 1.5k
  • Surgery 685
  • Molecular Biology 633
  • Endocrinology, Diabetes and Metabolism 584
  • Genetics 297
Replace Takeshi Miwa with:
Takeshi Miwa Japan
Peter S. Hansen Denmark
Daine Alcorn Australia
Robert F. Hoyt United States
Shin-ichi Suga Japan
Christoph Eilles Germany
Bobby P. C. Koeleman Netherlands
Sachie Suga Japan
M. Golam Kabir Canada
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Scott E. Campbell relative to Takeshi Miwa Japan Takeshi Miwa's profile →
Citations per field
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Citations per year

Countries citing papers authored by Scott E. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Scott E. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott E. 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 Scott E. Campbell. The network helps show where Scott E. Campbell may publish in the future.

Co-authorship network of co-authors of Scott E. Campbell

This figure shows the co-authorship network connecting the top 25 collaborators of Scott E. Campbell. A scholar is included among the top collaborators of Scott E. 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 Scott E. Campbell. Scott E. 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 0
2 0
3 9
4 1
5 1
6 23
7 14
8 95
9 20
10 43
11 4
12 44
13 25
14 173
15 99
16 17
17 70
18 3
19 60
20 48

About Scott E. Campbell

Scott E. Campbell is a scholar working on Cardiology and Cardiovascular Medicine, Architecture and Endocrinology, Diabetes and Metabolism, having authored 63 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (13 papers), Cardiac Fibrosis and Remodeling (13 papers) and Cardiac Imaging and Diagnostics (7 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.5k citations), Endocrinology, Diabetes and Metabolism (584 citations) and Surgery (685 citations). Scott E. Campbell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Laxmansa C. Katwa, Karl T. Weber, K Rakusan, Hanumanth K. Reddy, Christian G. Brilla, Bruno Villari, Otto M. Hess, Giuseppe Vassalli, Anne‐Marie Gerdes and K T Weber. Their work appears in journals such as Physical Review Letters, Circulation and Immunity.

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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