Gregory M. Cahill
- Endocrine and Autonomic Systems top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Cell Biology top 5%
- Co-authors
- Joseph C. BesharseMichael MenakerMark W. HurdMichael S. GraceMaki KanekoNasser KazimiValérie BégayDavid C. Klein
- Topics
- Circadian rhythm and melatonin (33 papers)Photoreceptor and optogenetics research (14 papers)Genetics, Aging, and Longevity in Model Organisms (6 papers)
- Partner nations
- United StatesFranceCameroon
In The Last Decade
Gregory M. Cahill
35 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 102
- Endocrine and Autonomic Systems 2.2k
- Cellular and Molecular Neuroscience 1.4k
- Molecular Biology 661
- Cognitive Neuroscience 510
- Cell Biology 456
Countries citing papers authored by Gregory M. Cahill
This map shows the geographic impact of Gregory M. Cahill'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 Gregory M. Cahill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory M. Cahill more than expected).
Fields of papers citing papers by Gregory M. Cahill
This network shows the impact of papers produced by Gregory M. Cahill. 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 Gregory M. Cahill. The network helps show where Gregory M. Cahill may publish in the future.
Co-authorship network of co-authors of Gregory M. Cahill
This figure shows the co-authorship network connecting the top 25 collaborators of Gregory M. Cahill. A scholar is included among the top collaborators of Gregory M. Cahill 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 Gregory M. Cahill. Gregory M. Cahill is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 118 | |
| 2 | 13 | |
| 3 | 39 | |
| 4 | 28 | |
| 5 | 71 | |
| 6 | 22 | |
| 7 | 106 | |
| 8 | 12 | |
| 9 | 109 | |
| 10 | 95 | |
| 11 | 121 | |
| 12 | 87 | |
| 13 | 20 | |
| 14 | 21 | |
| 15 | 189 | |
| 16 | 36 | |
| 17 | 138 | |
| 18 | 75 | |
| 19 | 75 | |
| 20 | 114 |
About Gregory M. Cahill
Gregory M. Cahill is a scholar working on Endocrine and Autonomic Systems, Aging and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Circadian rhythm and melatonin (33 papers), Photoreceptor and optogenetics research (14 papers) and Genetics, Aging, and Longevity in Model Organisms (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (2.2k citations), Aging (230 citations) and Cellular and Molecular Neuroscience (1.4k citations). Gregory M. Cahill has collaborated with scholars based in United States, France and Cameroon. Frequent co-authors include Joseph C. Besharse, Michael Menaker, Mark W. Hurd, Michael S. Grace, Maki Kaneko, Nasser Kazimi, Valérie Bégay, David C. Klein, Jason P. DeBruyne and James L. Weller. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.