Kenneth C. Copeland
- Endocrinology, Diabetes and Metabolism top 0.2%
- Genetics top 1%
- Surgery top 5%
- Physiology top 2%
- Molecular Biology top 10%
- Co-authors
- Louis E. UnderwoodJudson J. Van WykK. Sreekumaran NairFrancine KaufmanBarbara J. AndersonGeorgeanna J. KlingensmithÉric T. PoehlmanLori M. Laffel
- Topics
- Growth Hormone and Insulin-like Growth Factors (24 papers)Diabetes Management and Research (23 papers)Sexual Differentiation and Disorders (19 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Kenneth C. Copeland
115 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Endocrinology, Diabetes and Metabolism 3.2k
- Genetics 1.6k
- Surgery 1.1k
- Physiology 965
- Molecular Biology 895
Countries citing papers authored by Kenneth C. Copeland
This map shows the geographic impact of Kenneth C. Copeland'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 C. Copeland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth C. Copeland more than expected).
Fields of papers citing papers by Kenneth C. Copeland
This network shows the impact of papers produced by Kenneth C. Copeland. 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 C. Copeland. The network helps show where Kenneth C. Copeland may publish in the future.
Co-authorship network of co-authors of Kenneth C. Copeland
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth C. Copeland. A scholar is included among the top collaborators of Kenneth C. Copeland 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 C. Copeland. Kenneth C. Copeland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 70 | |
| 3 | 11 | |
| 4 | Lipid and inflammatory cardiovascular risk worsens over 3 years in youth with type 2 diabetes: The TODAY clinical trial. | 84 |
| 5 | 33 | |
| 6 | 20 | |
| 7 | 63 | |
| 8 | 52 | |
| 9 | 14 | |
| 10 | 6 | |
| 11 | 31 | |
| 12 | 36 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 14 | |
| 16 | 52 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 2 | |
| 20 | 13 |
About Kenneth C. Copeland
Kenneth C. Copeland is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Reproductive Medicine, having authored 117 papers that have together received 5.4k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (24 papers), Diabetes Management and Research (23 papers) and Sexual Differentiation and Disorders (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.2k citations), Genetics (1.6k citations) and Speech and Hearing (261 citations). Kenneth C. Copeland has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Louis E. Underwood, Judson J. Van Wyk, K. Sreekumaran Nair, Francine Kaufman, Barbara J. Anderson, Georgeanna J. Klingensmith, Éric T. Poehlman, Lori M. Laffel, Leslie Plotnick and Margaret Grey. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and PLoS ONE.
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.