Brian P. Gilmour
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Organic Chemistry
- Pharmacology top 10%
- Biomedical Engineering
- Co-authors
- Yanan ZhangHernán A. NavarroBrian F. ThomasScott H. RandellKatelyn L. SellgrenSonia GregoScott P. RunyonShan Huang
- Topics
- Receptor Mechanisms and Signaling (19 papers)Neuropeptides and Animal Physiology (15 papers)Sleep and Wakefulness Research (7 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsComplementary and alternative medicine
- Partner nations
- United StatesCanada
In The Last Decade
Brian P. Gilmour
34 papers receiving 778 citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 386
- Cellular and Molecular Neuroscience 307
- Organic Chemistry 102
- Pharmacology 100
- Biomedical Engineering 90
Countries citing papers authored by Brian P. Gilmour
This map shows the geographic impact of Brian P. Gilmour'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 P. Gilmour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian P. Gilmour more than expected).
Fields of papers citing papers by Brian P. Gilmour
This network shows the impact of papers produced by Brian P. Gilmour. 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 P. Gilmour. The network helps show where Brian P. Gilmour may publish in the future.
Co-authorship network of co-authors of Brian P. Gilmour
This figure shows the co-authorship network connecting the top 25 collaborators of Brian P. Gilmour. A scholar is included among the top collaborators of Brian P. Gilmour 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 P. Gilmour. Brian P. Gilmour 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 | 16 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 113 | |
| 6 | 5 | |
| 7 | 25 | |
| 8 | 20 | |
| 9 | 1 | |
| 10 | 20 | |
| 11 | 16 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 36 | |
| 15 | 6 | |
| 16 | 80 | |
| 17 | 26 | |
| 18 | 9 | |
| 19 | 24 | |
| 20 | 21 |
About Brian P. Gilmour
Brian P. Gilmour is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Molecular Biology, having authored 35 papers that have together received 788 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (15 papers) and Sleep and Wakefulness Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (307 citations), Endocrine and Autonomic Systems (74 citations) and Complementary and alternative medicine (61 citations). Brian P. Gilmour has collaborated with scholars based in United States and Canada. Frequent co-authors include Yanan Zhang, Hernán A. Navarro, Brian F. Thomas, Scott H. Randell, Katelyn L. Sellgren, Sonia Grego, Scott P. Runyon, Shan Huang, Ann M. Decker and Rangan Maitra. Their work appears in journals such as Journal of Biological Chemistry, The FASEB Journal and Journal of Medicinal 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.