Kevin L. Best
- Cellular and Molecular Neuroscience
- Molecular Biology
- Psychiatry and Mental health
- Pulmonary and Respiratory Medicine
- Endocrinology, Diabetes and Metabolism
- Co-authors
- F.P. BymasterDavid T. WongPenny G. ThrelkeldBlake Lee NeubauerRobin L. GoodeLee R. TanzerRonald L. MerrimanR. Tamura
- Topics
- Hormonal and reproductive studies (4 papers)Prostate Cancer Treatment and Research (4 papers)Estrogen and related hormone effects (3 papers)
- Cited by
- Cellular and Molecular NeurosciencePsychiatry and Mental healthEndocrinology, Diabetes and Metabolism
- Journals
- The Journal of UrologyJournal of Pharmacology and Experimental TherapeuticsToxicology and Applied Pharmacology
- Partner nations
- United States
In The Last Decade
Kevin L. Best
10 papers receiving 311 citations
Peers
Comparison fields: 5 of 74
- Cellular and Molecular Neuroscience 85
- Molecular Biology 72
- Psychiatry and Mental health 68
- Pulmonary and Respiratory Medicine 64
- Endocrinology, Diabetes and Metabolism 58
Countries citing papers authored by Kevin L. Best
This map shows the geographic impact of Kevin L. Best'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 L. Best with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin L. Best more than expected).
Fields of papers citing papers by Kevin L. Best
This network shows the impact of papers produced by Kevin L. Best. 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 L. Best. The network helps show where Kevin L. Best may publish in the future.
Co-authorship network of co-authors of Kevin L. Best
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin L. Best. A scholar is included among the top collaborators of Kevin L. Best 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 L. Best. Kevin L. Best is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 8 | |
| 3 | 24 | |
| 4 | 5 | |
| 5 | 9 | |
| 6 | Experimental induction of neoplasia in the accessory sex organs of male Lobund-Wistar rats. | 40 |
| 7 | 28 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 160 |
About Kevin L. Best
Kevin L. Best is a scholar working on Internal Medicine, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 10 papers that have together received 324 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (4 papers), Prostate Cancer Treatment and Research (4 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (85 citations), Psychiatry and Mental health (68 citations) and Endocrinology, Diabetes and Metabolism (58 citations). Kevin L. Best has collaborated with scholars based in United States. Frequent co-authors include F.P. Bymaster, David T. Wong, Penny G. Threlkeld, Blake Lee Neubauer, Robin L. Goode, Lee R. Tanzer, Ronald L. Merriman, R. Tamura, D. M. Hoover and Gerald F. Smith. Their work appears in journals such as The Journal of Urology, Journal of Pharmacology and Experimental Therapeutics and Toxicology and Applied Pharmacology.
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.