Brian Whiteley
Impact in
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- Venomous Animal Envenomation and Studies
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- Ion channel regulation and function
- Protein Kinase Regulation and GTPase Signaling
- Ion Transport and Channel Regulation
- Receptor Mechanisms and Signaling
- Nicotinic Acetylcholine Receptors Study
Papers in
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- Ion Transport and Channel Regulation 3
- Ion channel regulation and function 3
- Genetics 6
- Venomous Animal Envenomation and Studies 4
- Estrogen and related hormone effects 1
- Co-authors
- L Glaser (3 shared papers)Dan Cassel (3 shared papers)Luis Glaser (3 shared papers)Gerardo Corzo (4 shared papers)Terumi Nakajima (4 shared papers)Pierre Escoubas (4 shared papers)Marie-Louise Célérier (3 shared papers)Roger Genet (1 shared paper)
- Journals
- Rapid Communications in Mass Spectrometry (4 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Hypertension (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Brian Whiteley
13 papers receiving 361 citations
Peers
Comparison fields: 5 of 77
- Genetics 109
- Molecular Biology 267
- Microbiology 18
- Cellular and Molecular Neuroscience 38
- Cell Biology 34
Countries citing papers authored by Brian Whiteley
This map shows the geographic impact of Brian Whiteley'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 Whiteley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Whiteley more than expected).
Fields of papers citing papers by Brian Whiteley
This network shows the impact of papers produced by Brian Whiteley. 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 Whiteley. The network helps show where Brian Whiteley may publish in the future.
Co-authors
The 19 scholars most cited alongside Brian Whiteley, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 80 | |
| 2 | 1985 | 75 | |
| 3 | 1984 | 60 | |
| 4 | 2002 | 54 | |
| 5 | 1999 | 41 | |
| 6 | 1998 | 22 | |
| 7 | 1991 | 18 | |
| 8 | 1984 | 16 | |
| 9 | 1985 | 9 | |
| 10 | 1980 | 8 | |
| 11 | 1987 | 4 | |
| 12 | 1994 | 2 | |
| 13 | 1998 | 1 |
About Brian Whiteley
Brian Whiteley is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Pharmacology, having authored 13 papers that have together received 390 indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (4 papers), Ion Transport and Channel Regulation (3 papers), Ion channel regulation and function (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Healthcare and Venom Research (2 papers), Pancreatic function and diabetes (2 papers), Estrogen and related hormone effects (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Genetics (109 citations), Molecular Biology (267 citations), Microbiology (18 citations), Cellular and Molecular Neuroscience (38 citations) and Cell Biology (34 citations). Brian Whiteley has collaborated with scholars based in United States, France and Japan. Frequent co-authors include L Glaser, Dan Cassel, Luis Glaser, Gerardo Corzo, Terumi Nakajima, Pierre Escoubas, Marie-Louise Célérier, Roger Genet, Julia Chamot‐Rooke and Reto Stöcklin. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Biological Chemistry, The Journal of Cell Biology, Biochemical and Biophysical Research Communications and Hypertension.
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.