Dan F. McCune
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Physiology
- Animal Science and Zoology top 10%
- Psychiatry and Mental health
- Co-authors
- Dianne M. PerezStephanie E. EdelmannMichael T. PiascikRobert J. GaivinRobert S. PapayGozoh TsujimotoDan ChalothornBoyd R. Rorabaugh
- Topics
- Receptor Mechanisms and Signaling (15 papers)Neuropeptides and Animal Physiology (9 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Dan F. McCune
21 papers receiving 786 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 548
- Cellular and Molecular Neuroscience 415
- Physiology 173
- Animal Science and Zoology 66
- Psychiatry and Mental health 63
Countries citing papers authored by Dan F. McCune
This map shows the geographic impact of Dan F. McCune'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 Dan F. McCune with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan F. McCune more than expected).
Fields of papers citing papers by Dan F. McCune
This network shows the impact of papers produced by Dan F. McCune. 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 Dan F. McCune. The network helps show where Dan F. McCune may publish in the future.
Co-authorship network of co-authors of Dan F. McCune
This figure shows the co-authorship network connecting the top 25 collaborators of Dan F. McCune. A scholar is included among the top collaborators of Dan F. McCune 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 Dan F. McCune. Dan F. McCune is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | Chemoprevention of prostate cancer by major dietary phytochemicals. | 46 |
| 5 | 19 | |
| 6 | 14 | |
| 7 | 88 | |
| 8 | 44 | |
| 9 | 36 | |
| 10 | 5 | |
| 11 | 52 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 44 | |
| 15 | 34 | |
| 16 | 16 | |
| 17 | 121 | |
| 18 | 11 | |
| 19 | 90 | |
| 20 | 45 |
About Dan F. McCune
Dan F. McCune is a scholar working on Cellular and Molecular Neuroscience, Radiological and Ultrasound Technology and Toxicology, having authored 21 papers that have together received 808 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (15 papers), Neuropeptides and Animal Physiology (9 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (415 citations), Behavioral Neuroscience (51 citations) and Developmental Neuroscience (41 citations). Dan F. McCune has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Dianne M. Perez, Stephanie E. Edelmann, Michael T. Piascik, Robert J. Gaivin, Robert S. Papay, Gozoh Tsujimoto, Dan Chalothorn, Boyd R. Rorabaugh, Mary L. Garcı́a-Cazarı́n and R. W. Hadley. Their work appears in journals such as The Journal of Comparative Neurology, Endocrinology and Journal of Neurochemistry.
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.