J. David Curb
- Physiology top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Public Health, Environmental and Occupational Health top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 1%
- Co-authors
- Kamal MasakiBeatriz L. RodríguezKatsuhiko YanoRobert D. AbbottLon R. WhiteHelen PetrovitchBradley J. WillcoxCecil M. Burchfiel
- Topics
- Nutritional Studies and Diet (29 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers)Adipokines, Inflammation, and Metabolic Diseases (13 papers)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
J. David Curb
143 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 183
- Physiology 2.7k
- Cardiology and Cardiovascular Medicine 2.0k
- Public Health, Environmental and Occupational Health 1.8k
- Endocrinology, Diabetes and Metabolism 1.8k
- Epidemiology 1.6k
Countries citing papers authored by J. David Curb
This map shows the geographic impact of J. David Curb'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 J. David Curb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. David Curb more than expected).
Fields of papers citing papers by J. David Curb
This network shows the impact of papers produced by J. David Curb. 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 J. David Curb. The network helps show where J. David Curb may publish in the future.
Co-authorship network of co-authors of J. David Curb
This figure shows the co-authorship network connecting the top 25 collaborators of J. David Curb. A scholar is included among the top collaborators of J. David Curb 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 J. David Curb. J. David Curb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 22 | |
| 3 | 99 | |
| 4 | 17 | |
| 5 | 42 | |
| 6 | 21 | |
| 7 | 25 | |
| 8 | 72 | |
| 9 | 33 | |
| 10 | 72 | |
| 11 | 10 | |
| 12 | [Electron-beam computed tomography for identification of high-risk persons in primary prevention of coronary heart disease in the United States and its implication for Japan]. | 6 |
| 13 | 54 | |
| 14 | 52 | |
| 15 | 13 | |
| 16 | 412 | |
| 17 | 38 | |
| 18 | 143 | |
| 19 | 2 | |
| 20 | 35 |
About J. David Curb
J. David Curb is a scholar working on Aging, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 143 papers that have together received 11.7k indexed citations. Recurring topics across this work include Nutritional Studies and Diet (29 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (26 papers) and Adipokines, Inflammation, and Metabolic Diseases (13 papers). The work is most often cited by research in Aging (714 citations), Endocrinology, Diabetes and Metabolism (1.8k citations) and Physiology (2.7k citations). J. David Curb has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Kamal Masaki, Beatriz L. Rodríguez, Katsuhiko Yano, Robert D. Abbott, Lon R. White, Helen Petrovitch, Bradley J. Willcox, Cecil M. Burchfiel, Patricia Lanoie Blanchette and G. Webster Ross. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.
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.