William F. Colmers
- Cellular and Molecular Neuroscience top 0.5%
- Molecular Biology top 5%
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 2%
- Cognitive Neuroscience top 5%
- Co-authors
- Gloria J. KlapsteinGünther SperkDavid BleakmanAnnamaria VezzaniNina PronchukMelissa J. CheeRoger D. ConeQuentin J. Pittman
- Topics
- Neuropeptides and Animal Physiology (38 papers)Receptor Mechanisms and Signaling (26 papers)Neuroscience and Neuropharmacology Research (22 papers)
- Partner nations
- CanadaUnited StatesGermany
In The Last Decade
William F. Colmers
79 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cellular and Molecular Neuroscience 3.2k
- Molecular Biology 2.0k
- Endocrine and Autonomic Systems 1.3k
- Physiology 1.1k
- Cognitive Neuroscience 630
Countries citing papers authored by William F. Colmers
This map shows the geographic impact of William F. Colmers'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 William F. Colmers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William F. Colmers more than expected).
Fields of papers citing papers by William F. Colmers
This network shows the impact of papers produced by William F. Colmers. 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 William F. Colmers. The network helps show where William F. Colmers may publish in the future.
Co-authorship network of co-authors of William F. Colmers
This figure shows the co-authorship network connecting the top 25 collaborators of William F. Colmers. A scholar is included among the top collaborators of William F. Colmers 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 William F. Colmers. William F. Colmers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 18 | |
| 3 | 8 | |
| 4 | 39 | |
| 5 | 106 | |
| 6 | 59 | |
| 7 | 102 | |
| 8 | 225 | |
| 9 | 19 | |
| 10 | 104 | |
| 11 | 58 | |
| 12 | 15 | |
| 13 | 66 | |
| 14 | Integration of NPY, AGRP, and Melanocortin Signals in the Hypothalamic Paraventricular Nucleusbreakdown → | 508 |
| 15 | 224 | |
| 16 | 55 | |
| 17 | 59 | |
| 18 | 67 | |
| 19 | 34 | |
| 20 | 47 |
About William F. Colmers
William F. Colmers is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Behavioral Neuroscience, having authored 80 papers that have together received 5.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (38 papers), Receptor Mechanisms and Signaling (26 papers) and Neuroscience and Neuropharmacology Research (22 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.3k citations), Cellular and Molecular Neuroscience (3.2k citations) and Behavioral Neuroscience (366 citations). William F. Colmers has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Gloria J. Klapstein, Günther Sperk, David Bleakman, Annamaria Vezzani, Nina Pronchuk, Melissa J. Chee, Roger D. Cone, Quentin J. Pittman, Michael A. Cowley and Daniela M. Dinulescu. Their work appears in journals such as Nature, 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.