Kevin M. Barnes
- Molecular Biology top 5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Reproductive Medicine top 0.5%
- Genetics top 1%
- Rheumatology top 2%
- Co-authors
- Gordon B. CutlerJeffrey BaronSusan R. RoseOla NilssonOra Hirsch PescovitzMercedes UriarteMartina WeiseRachel I. Gafni
- Topics
- Growth Hormone and Insulin-like Growth Factors (32 papers)Hypothalamic control of reproductive hormones (27 papers)Sexual Differentiation and Disorders (24 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNature Communications
- Partner nations
- United StatesHungaryCameroon
In The Last Decade
Kevin M. Barnes
98 papers receiving 4.8k citations
Peers
Comparison fields: 5 of 155
- Molecular Biology 2.2k
- Endocrinology, Diabetes and Metabolism 1.9k
- Reproductive Medicine 1.3k
- Genetics 1.3k
- Rheumatology 547
Countries citing papers authored by Kevin M. Barnes
This map shows the geographic impact of Kevin M. Barnes'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 Kevin M. Barnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin M. Barnes more than expected).
Fields of papers citing papers by Kevin M. Barnes
This network shows the impact of papers produced by Kevin M. Barnes. 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 Kevin M. Barnes. The network helps show where Kevin M. Barnes may publish in the future.
Co-authorship network of co-authors of Kevin M. Barnes
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin M. Barnes. A scholar is included among the top collaborators of Kevin M. Barnes 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 Kevin M. Barnes. Kevin M. Barnes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 30 | |
| 5 | 95 | |
| 6 | 100 | |
| 7 | 43 | |
| 8 | 57 | |
| 9 | 3 | |
| 10 | 149 | |
| 11 | 23 | |
| 12 | 50 | |
| 13 | 101 | |
| 14 | 36 | |
| 15 | 13 | |
| 16 | 3 | |
| 17 | 15 | |
| 18 | 14 | |
| 19 | 40 | |
| 20 | 37 |
About Kevin M. Barnes
Kevin M. Barnes is a scholar working on Reproductive Medicine, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience, having authored 98 papers that have together received 5.0k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (32 papers), Hypothalamic control of reproductive hormones (27 papers) and Sexual Differentiation and Disorders (24 papers). The work is most often cited by research in Reproductive Medicine (1.3k citations), Endocrinology, Diabetes and Metabolism (1.9k citations) and Genetics (1.3k citations). Kevin M. Barnes has collaborated with scholars based in United States, Hungary and Cameroon. Frequent co-authors include Gordon B. Cutler, Jeffrey Baron, Susan R. Rose, Ola Nilsson, Ora Hirsch Pescovitz, Mercedes Uriarte, Martina Weise, Rachel I. Gafni, Karen Hench and Verónica Abad. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature Communications.
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.