W. Darrell Capel

1.0k total citations · 1 hit paper
7 papers, 807 citations indexed

About

W. Darrell Capel is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, W. Darrell Capel has authored 7 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 1 paper in Neurology. Recurrent topics in W. Darrell Capel's work include Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuropeptides and Animal Physiology (4 papers). W. Darrell Capel is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Neuropeptides and Animal Physiology (4 papers). W. Darrell Capel collaborates with scholars based in United States and United Kingdom. W. Darrell Capel's co-authors include Robert J. Lefkowitz, Julie A. Pitcher, J.J.G. Tesmer, David T. Lodowski, Laura M. Wingler, Dean P. Staus, Georgios Skiniotis, Michael J. Robertson, Hongli Hu and A.L.W. Kleinhenz and has published in prestigious journals such as Nature, Science and Journal of Biological Chemistry.

In The Last Decade

W. Darrell Capel

7 papers receiving 796 citations

Hit Papers

Structure of the M2 muscarinic receptor–β-arrestin comple... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
W. Darrell Capel United States 7 749 409 71 70 66 7 807
Kristoff T. Homan United States 17 755 1.0× 363 0.9× 68 1.0× 42 0.6× 48 0.7× 26 898
Zoey L. Fredericks United States 9 733 1.0× 324 0.8× 27 0.4× 47 0.7× 61 0.9× 11 798
Rachel Sterne‐Marr United States 17 1.4k 1.8× 722 1.8× 77 1.1× 53 0.8× 68 1.0× 22 1.4k
Derek J. Francis United States 10 738 1.0× 470 1.1× 113 1.6× 75 1.1× 40 0.6× 14 790
Wonjo Jang United States 8 610 0.8× 359 0.9× 58 0.8× 62 0.9× 74 1.1× 12 771
Tae Weon Lee United States 10 1.2k 1.6× 871 2.1× 106 1.5× 92 1.3× 138 2.1× 10 1.3k
Konstantin E. Komolov Russia 13 506 0.7× 313 0.8× 26 0.4× 72 1.0× 55 0.8× 19 591
Phan Trieu Canada 15 925 1.2× 483 1.2× 33 0.5× 27 0.4× 68 1.0× 20 1.1k
Francois Marie Ngako Kadji Japan 12 880 1.2× 473 1.2× 90 1.3× 92 1.3× 143 2.2× 19 1.1k
Darlaine Pétrin Canada 15 432 0.6× 218 0.5× 29 0.4× 26 0.4× 55 0.8× 30 586

Countries citing papers authored by W. Darrell Capel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of W. Darrell Capel

This figure shows the co-authorship network connecting the top 25 collaborators of W. Darrell Capel. A scholar is included among the top collaborators of W. Darrell Capel 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 W. Darrell Capel. W. Darrell Capel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Staus, Dean P., Hongli Hu, Michael J. Robertson, et al.. (2020). Structure of the M2 muscarinic receptor–β-arrestin complex in a lipid nanodisc. Nature. 579(7798). 297–302. 250 indexed citations breakdown →
2.
Choi, Minjung, Dean P. Staus, Laura M. Wingler, et al.. (2018). G protein–coupled receptor kinases (GRKs) orchestrate biased agonism at the β 2 -adrenergic receptor. Science Signaling. 11(544). 52 indexed citations
3.
Lodowski, David T., Julie A. Pitcher, W. Darrell Capel, Robert J. Lefkowitz, & J.J.G. Tesmer. (2003). Keeping G Proteins at Bay: A Complex Between G Protein-Coupled Receptor Kinase 2 and Gßγ. Science. 300(5623). 1256–1262. 315 indexed citations
4.
Lodowski, David T., et al.. (2003). Purification, crystallization and preliminary X-ray diffraction studies of a complex between G protein-coupled receptor kinase 2 and Gβ1γ2. Acta Crystallographica Section D Biological Crystallography. 59(5). 936–939. 18 indexed citations
5.
Pitcher, Julie A., et al.. (1999). Feedback Inhibition of G Protein-coupled Receptor Kinase 2 (GRK2) Activity by Extracellular Signal-regulated Kinases. Journal of Biological Chemistry. 274(49). 34531–34534. 155 indexed citations
6.
Prpić, Veronica, W. Darrell Capel, Srisaila Basavappa, et al.. (1996). Beta-adrenergic regulation of cholecystokinin secretion in STC-1 cells. American Journal of Physiology-Gastrointestinal and Liver Physiology. 270(2). G291–G297. 10 indexed citations
7.
Handwerger, Stuart & W. Darrell Capel. (1985). Differences in the Cell Surface Antigens of Prolactin Producing Cells of Human Decidual and Pituitary Tissues*. The Journal of Clinical Endocrinology & Metabolism. 61(5). 830–833. 7 indexed citations

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.

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