C. Wayne Weart
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Physiology
- Geriatrics and Gerontology top 5%
- Molecular Biology
- Co-authors
- Benjamin W. GoodmanDean G. HaxbyTimothy J. IvesMichael F. FlemingD. BlöchJeffrey T. ShererG. Mark BaillieJohn G. Gums
- Topics
- Pharmaceutical Practices and Patient Outcomes (5 papers)Lipoproteins and Cardiovascular Health (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers)
- Partner nations
- United StatesSwitzerland
In The Last Decade
C. Wayne Weart
25 papers receiving 309 citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 62
- Cardiology and Cardiovascular Medicine 61
- Physiology 58
- Geriatrics and Gerontology 56
- Molecular Biology 44
Countries citing papers authored by C. Wayne Weart
This map shows the geographic impact of C. Wayne Weart'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 C. Wayne Weart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C. Wayne Weart more than expected).
Fields of papers citing papers by C. Wayne Weart
This network shows the impact of papers produced by C. Wayne Weart. 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 C. Wayne Weart. The network helps show where C. Wayne Weart may publish in the future.
Co-authorship network of co-authors of C. Wayne Weart
This figure shows the co-authorship network connecting the top 25 collaborators of C. Wayne Weart. A scholar is included among the top collaborators of C. Wayne Weart 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 C. Wayne Weart. C. Wayne Weart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 4 | |
| 3 | 0 | |
| 4 | Beta-blockers and ACE inhibitors: New data, old myths | 2 |
| 5 | 20 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | Calcium channel blocker-induced gingival hyperplasia: case report and review of this iatrogenic disease. | 14 |
| 11 | 1 | |
| 12 | 32 | |
| 13 | New considerations for Haemophilus influenzae type b vaccination. | 2 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 27 | |
| 17 | 47 | |
| 18 | 37 | |
| 19 | 4 | |
| 20 | 4 |
About C. Wayne Weart
C. Wayne Weart is a scholar working on Geriatrics and Gerontology, Applied Microbiology and Biotechnology and Gastroenterology, having authored 28 papers that have together received 338 indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (5 papers), Lipoproteins and Cardiovascular Health (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Geriatrics and Gerontology (56 citations), Family Practice (14 citations) and Endocrinology, Diabetes and Metabolism (62 citations). C. Wayne Weart has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Benjamin W. Goodman, Dean G. Haxby, Timothy J. Ives, Michael F. Fleming, D. Blöch, Jeffrey T. Sherer, G. Mark Baillie, John G. Gums, Patricia A. Marken and Maria F. Lopes‐Virella. Their work appears in journals such as American Journal of Psychiatry, American Journal of Obstetrics and Gynecology and Atherosclerosis.
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.