David I. Whitmoyer
- Endocrine and Autonomic Systems top 2%
- Cognitive Neuroscience top 10%
- Reproductive Medicine top 5%
- Social Psychology top 5%
- Behavioral Neuroscience top 5%
- Co-authors
- Charles H. SawyerC. H. SawyerRoger A. GorskiPeter C. K. LeungRobert D. LiskDonald O. WalterRobert V. GalloBarry R. Komisaruk
- Topics
- Hypothalamic control of reproductive hormones (14 papers)Stress Responses and Cortisol (8 papers)Neuroscience and Neuropharmacology Research (8 papers)
- Partner nations
- United StatesArgentina
In The Last Decade
David I. Whitmoyer
35 papers receiving 674 citations
Peers
Comparison fields: 5 of 71
- Endocrine and Autonomic Systems 265
- Cognitive Neuroscience 227
- Reproductive Medicine 220
- Social Psychology 196
- Behavioral Neuroscience 164
Countries citing papers authored by David I. Whitmoyer
This map shows the geographic impact of David I. Whitmoyer'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 David I. Whitmoyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David I. Whitmoyer more than expected).
Fields of papers citing papers by David I. Whitmoyer
This network shows the impact of papers produced by David I. Whitmoyer. 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 David I. Whitmoyer. The network helps show where David I. Whitmoyer may publish in the future.
Co-authorship network of co-authors of David I. Whitmoyer
This figure shows the co-authorship network connecting the top 25 collaborators of David I. Whitmoyer. A scholar is included among the top collaborators of David I. Whitmoyer 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 David I. Whitmoyer. David I. Whitmoyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 3 | |
| 3 | 23 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 29 | |
| 11 | 7 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 26 | |
| 15 | 22 | |
| 16 | 34 | |
| 17 | 33 | |
| 18 | 66 | |
| 19 | 31 | |
| 20 | 40 |
About David I. Whitmoyer
David I. Whitmoyer is a scholar working on Behavioral Neuroscience, Reproductive Medicine and Cognitive Neuroscience, having authored 35 papers that have together received 720 indexed citations. Recurring topics across this work include Hypothalamic control of reproductive hormones (14 papers), Stress Responses and Cortisol (8 papers) and Neuroscience and Neuropharmacology Research (8 papers). The work is most often cited by research in Behavioral Neuroscience (164 citations), Endocrine and Autonomic Systems (265 citations) and Reproductive Medicine (220 citations). David I. Whitmoyer has collaborated with scholars based in United States and Argentina. Frequent co-authors include Charles H. Sawyer, C. H. Sawyer, Roger A. Gorski, Peter C. K. Leung, Robert D. Lisk, Donald O. Walter, Robert V. Gallo, Barry R. Komisaruk, Gary W. Arendash and Hiroshi Kawamura. Their work appears in journals such as Brain Research, Endocrinology and American Journal of Physiology-Endocrinology and Metabolism.
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.