Charles D. Meyers
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Co-authors
- Moti L. KashyapDaniel GaudetKarine TremblayAhmed AmerJin ChenSang Gyu ParkJohn D. BrunzellMolly C. Carr
- Topics
- Lipid metabolism and biosynthesis (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Lipid metabolism and disorders (6 papers)
- Partner nations
- United StatesSwitzerlandRussia
In The Last Decade
Charles D. Meyers
25 papers receiving 780 citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 375
- Surgery 296
- Molecular Biology 240
- Cardiology and Cardiovascular Medicine 159
- Epidemiology 125
Countries citing papers authored by Charles D. Meyers
This map shows the geographic impact of Charles D. Meyers'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 Charles D. Meyers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Charles D. Meyers more than expected).
Fields of papers citing papers by Charles D. Meyers
This network shows the impact of papers produced by Charles D. Meyers. 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 Charles D. Meyers. The network helps show where Charles D. Meyers may publish in the future.
Co-authorship network of co-authors of Charles D. Meyers
This figure shows the co-authorship network connecting the top 25 collaborators of Charles D. Meyers. A scholar is included among the top collaborators of Charles D. Meyers 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 Charles D. Meyers. Charles D. Meyers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 65 | |
| 2 | 3 | |
| 3 | Clinical Pharmacokinetics of Pradigastat, a Novel Diacylglycerol Acyltransferase 1 Inhibitor | 1 |
| 4 | 65 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 83 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 16 | |
| 11 | 47 | |
| 12 | 3 | |
| 13 | 23 | |
| 14 | 120 | |
| 15 | 41 | |
| 16 | 17 | |
| 17 | 129 | |
| 18 | 21 | |
| 19 | 54 | |
| 20 | 2 |
About Charles D. Meyers
Charles D. Meyers is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 25 papers that have together received 812 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Lipid metabolism and disorders (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (375 citations), Biochemistry (97 citations) and Cancer Research (109 citations). Charles D. Meyers has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Moti L. Kashyap, Daniel Gaudet, Karine Tremblay, Ahmed Amer, Jin Chen, Sang Gyu Park, John D. Brunzell, Molly C. Carr, Liewen Jiang and Vaijinath S. Kamanna. Their work appears in journals such as Annals of Internal Medicine, Diabetes and The American Journal of Cardiology.
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.