Brian C. Wilkes
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Nutrition and Dietetics top 2%
- Cell Biology top 5%
- Endocrine and Autonomic Systems top 2%
- Co-authors
- Peter W. SchillerMac E. HadleyNga N. ChungVictor J. HrubyGrazyna WeltrowskaCarole LemieuxAna Maria de Lauro CastrucciTomi K. Sawyer
- Topics
- Receptor Mechanisms and Signaling (40 papers)Chemical Synthesis and Analysis (35 papers)Neuropeptides and Animal Physiology (34 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Brian C. Wilkes
79 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.9k
- Cellular and Molecular Neuroscience 990
- Nutrition and Dietetics 492
- Cell Biology 415
- Endocrine and Autonomic Systems 384
Countries citing papers authored by Brian C. Wilkes
This map shows the geographic impact of Brian C. Wilkes'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 Brian C. Wilkes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. Wilkes more than expected).
Fields of papers citing papers by Brian C. Wilkes
This network shows the impact of papers produced by Brian C. Wilkes. 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 Brian C. Wilkes. The network helps show where Brian C. Wilkes may publish in the future.
Co-authorship network of co-authors of Brian C. Wilkes
This figure shows the co-authorship network connecting the top 25 collaborators of Brian C. Wilkes. A scholar is included among the top collaborators of Brian C. Wilkes 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 Brian C. Wilkes. Brian C. Wilkes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 16 | |
| 3 | 188 | |
| 4 | 21 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 18 | |
| 8 | 23 | |
| 9 | 83 | |
| 10 | 11 | |
| 11 | 30 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 110 | |
| 15 | 40 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | 102 | |
| 19 | 25 | |
| 20 | 231 |
About Brian C. Wilkes
Brian C. Wilkes is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Biochemistry, having authored 81 papers that have together received 2.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (40 papers), Chemical Synthesis and Analysis (35 papers) and Neuropeptides and Animal Physiology (34 papers). The work is most often cited by research in Endocrine and Autonomic Systems (384 citations), Cellular and Molecular Neuroscience (990 citations) and Nutrition and Dietetics (492 citations). Brian C. Wilkes has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Peter W. Schiller, Mac E. Hadley, Nga N. Chung, Victor J. Hruby, Grazyna Weltrowska, Carole Lemieux, Ana Maria de Lauro Castrucci, Tomi K. Sawyer, Brian J. Marsden and Thi M.‐D. Nguyen. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.