W. Darrell Capel
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
- Protein Structure and Dynamics
Papers in
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- Receptor Mechanisms and Signaling 6
- Protein Kinase Regulation and GTPase Signaling 4
- Lipid Membrane Structure and Behavior 1
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- Neuropeptides and Animal Physiology 4
- Co-authors
- Robert J. Lefkowitz (5 shared papers)J.J.G. Tesmer (3 shared papers)Julie A. Pitcher (3 shared papers)David T. Lodowski (2 shared papers)Dean P. Staus (2 shared papers)Laura M. Wingler (2 shared papers)A.L.W. Kleinhenz (1 shared paper)Naomi R. Latorraca (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (1 paper)Nature (1 paper)Science Signaling (1 paper)Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
W. Darrell Capel
7 papers receiving 796 citations
W. Darrell Capel's Hit Papers
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 409
- Molecular Biology 749
- Computational Theory and Mathematics 71
- Spectroscopy 70
- Cell Biology 56
Countries citing papers authored by W. Darrell Capel
This map shows the geographic impact of W. Darrell Capel'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 W. Darrell Capel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Darrell Capel more than expected).
Fields of papers citing papers by W. Darrell Capel
This network shows the impact of papers produced by W. Darrell Capel. 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 W. Darrell Capel. The network helps show where W. Darrell Capel may publish in the future.
Co-authors
The 21 scholars most cited alongside W. Darrell Capel, 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 | 2003 | 315 | |
| 2 | Structure of the M2 muscarinic receptor–β-arrestin complex in a lipid nanodisc Hit paper breakdown → | 2020 | 250 |
| 3 | 1999 | 155 | |
| 4 | 2018 | 52 | |
| 5 | 2003 | 18 | |
| 6 | 1996 | 10 | |
| 7 | 1985 | 7 |
About W. Darrell Capel
W. Darrell Capel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 807 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Neuroendocrine Tumor Research Advances (1 paper), Enzyme Structure and Function (1 paper), Lipid Membrane Structure and Behavior (1 paper), Mass Spectrometry Techniques and Applications (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (409 citations), Molecular Biology (749 citations), Computational Theory and Mathematics (71 citations), Spectroscopy (70 citations) and Cell Biology (56 citations). W. Darrell Capel has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Robert J. Lefkowitz, J.J.G. Tesmer, Julie A. Pitcher, David T. Lodowski, Dean P. Staus, Laura M. Wingler, A.L.W. Kleinhenz, Naomi R. Latorraca, Georgios Skiniotis and Michael J. Robertson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Nature, Science Signaling, Science 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.