Jean W. MacCluer
- Genetics top 0.5%
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Endocrinology, Diabetes and Metabolism top 1%
- Physiology top 2%
- Co-authors
- John BlangeroAnthony G. ComuzzieMichael C. MahaneyMichael P. SternJohn L. VandeBergJames E. HixsonBraxton D. MitchellDavid L. Rainwater
- Topics
- Genetic Associations and Epidemiology (62 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)Diet, Metabolism, and Disease (14 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Jean W. MacCluer
180 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Genetics 2.3k
- Molecular Biology 2.1k
- Cardiology and Cardiovascular Medicine 1.8k
- Endocrinology, Diabetes and Metabolism 972
- Physiology 965
Countries citing papers authored by Jean W. MacCluer
This map shows the geographic impact of Jean W. MacCluer'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 Jean W. MacCluer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean W. MacCluer more than expected).
Fields of papers citing papers by Jean W. MacCluer
This network shows the impact of papers produced by Jean W. MacCluer. 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 Jean W. MacCluer. The network helps show where Jean W. MacCluer may publish in the future.
Co-authorship network of co-authors of Jean W. MacCluer
This figure shows the co-authorship network connecting the top 25 collaborators of Jean W. MacCluer. A scholar is included among the top collaborators of Jean W. MacCluer 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 Jean W. MacCluer. Jean W. MacCluer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 39 | |
| 6 | 20 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 12 | |
| 10 | 51 | |
| 11 | 7 | |
| 12 | 43 | |
| 13 | 19 | |
| 14 | 100 | |
| 15 | 350 | |
| 16 | 26 | |
| 17 | 2 | |
| 18 | 35 | |
| 19 | Genetic epidemiology : applications and comparisons of methods | 4 |
| 20 | Fertility and mortality effects on Darwinian fitness in man. | 1 |
About Jean W. MacCluer
Jean W. MacCluer is a scholar working on Genetics, Nephrology and Endocrinology, Diabetes and Metabolism, having authored 180 papers that have together received 7.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (62 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers) and Diet, Metabolism, and Disease (14 papers). The work is most often cited by research in Genetics (2.3k citations), Endocrine and Autonomic Systems (554 citations) and Cardiology and Cardiovascular Medicine (1.8k citations). Jean W. MacCluer has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include John Blangero, Anthony G. Comuzzie, Michael C. Mahaney, Michael P. Stern, John L. VandeBerg, James E. Hixson, Braxton D. Mitchell, David L. Rainwater, Laura Almasy and Shelley A. Cole. Their work appears in journals such as New England Journal of Medicine, Circulation and Nature Genetics.
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.