Kenneth S. Campbell
- Molecular Biology top 2%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 2%
- Biomedical Engineering top 5%
- Cell Biology top 2%
- Co-authors
- Richard L. MossKaryn A. EsserJohn J. McCarthyStuart G. CampbellMartin LakieCharlotte A. PetersonErin L. McDearmonJoseph S. Takahashi
- Topics
- Cardiomyopathy and Myosin Studies (89 papers)Cardiovascular Function and Risk Factors (44 papers)Muscle Physiology and Disorders (34 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Kenneth S. Campbell
140 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.7k
- Cardiology and Cardiovascular Medicine 1.8k
- Physiology 931
- Biomedical Engineering 660
- Cell Biology 589
Countries citing papers authored by Kenneth S. Campbell
This map shows the geographic impact of Kenneth S. 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 Kenneth S. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth S. Campbell more than expected).
Fields of papers citing papers by Kenneth S. Campbell
This network shows the impact of papers produced by Kenneth S. 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 Kenneth S. Campbell. The network helps show where Kenneth S. Campbell may publish in the future.
Co-authorship network of co-authors of Kenneth S. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth S. Campbell. A scholar is included among the top collaborators of Kenneth S. 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 Kenneth S. Campbell. Kenneth S. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 75 | |
| 9 | 1 | |
| 10 | 16 | |
| 11 | 52 | |
| 12 | 57 | |
| 13 | 40 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 12 | |
| 18 | 14 | |
| 19 | 76 | |
| 20 | 57 |
About Kenneth S. Campbell
Kenneth S. Campbell is a scholar working on Cardiology and Cardiovascular Medicine, Aging and Molecular Biology, having authored 154 papers that have together received 5.2k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (89 papers), Cardiovascular Function and Risk Factors (44 papers) and Muscle Physiology and Disorders (34 papers). The work is most often cited by research in Aging (249 citations), Endocrine and Autonomic Systems (553 citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Kenneth S. Campbell has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Richard L. Moss, Karyn A. Esser, John J. McCarthy, Stuart G. Campbell, Martin Lakie, Charlotte A. Peterson, Erin L. McDearmon, Joseph S. Takahashi, Jessica L. Andrews and John B. Hogenesch. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.