John W. Regan

11.0k total citations · 4 hit papers
142 papers, 9.2k citations indexed

About

John W. Regan is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, John W. Regan has authored 142 papers receiving a total of 9.2k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Molecular Biology, 46 papers in Pharmacology and 39 papers in Cellular and Molecular Neuroscience. Recurrent topics in John W. Regan's work include Receptor Mechanisms and Signaling (63 papers), Inflammatory mediators and NSAID effects (46 papers) and Estrogen and related hormone effects (28 papers). John W. Regan is often cited by papers focused on Receptor Mechanisms and Signaling (63 papers), Inflammatory mediators and NSAID effects (46 papers) and Estrogen and related hormone effects (28 papers). John W. Regan collaborates with scholars based in United States, Czechia and Japan. John W. Regan's co-authors include Robert J. Lefkowitz, Hiromichi Fujino, Marc G. Caron, Brian K. Kobilka, Tong Sun Kobilka, Kristen L. Pierce, Kiefer W. Daniel, W. Daniel Stamer, Teresa L. Yang‐Feng and Andrea J. Yool and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John W. Regan

140 papers receiving 8.9k citations

Hit Papers

Cloning, Sequencing, and ... 1987 2026 2000 2013 1987 1988 1988 1988 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John W. Regan United States 47 5.7k 3.1k 1.9k 1.1k 995 142 9.2k
Jacques Hanoune France 44 5.2k 0.9× 3.3k 1.0× 678 0.4× 1.6k 1.5× 480 0.5× 179 8.4k
Hartmut Glossmann Austria 61 9.7k 1.7× 4.7k 1.5× 576 0.3× 1.1k 1.1× 533 0.5× 211 12.4k
Howard A. Rockman United States 71 12.4k 2.2× 3.6k 1.1× 518 0.3× 2.2k 2.1× 733 0.7× 204 18.2k
R.W. Butcher United States 31 4.5k 0.8× 1.6k 0.5× 797 0.4× 2.1k 2.0× 498 0.5× 65 8.8k
Kevin R. Lynch United States 71 10.7k 1.9× 2.2k 0.7× 832 0.4× 2.5k 2.4× 727 0.7× 202 16.0k
Chris Peers United Kingdom 56 5.2k 0.9× 2.3k 0.7× 610 0.3× 2.5k 2.3× 906 0.9× 274 9.7k
Louis B. Hersh United States 55 4.9k 0.9× 4.1k 1.3× 1.4k 0.7× 3.3k 3.1× 634 0.6× 223 10.5k
Fusao Hirata United States 49 3.9k 0.7× 1.1k 0.3× 952 0.5× 1.5k 1.4× 421 0.4× 123 8.5k
Gabriele V. Ronnett United States 54 5.3k 0.9× 2.1k 0.7× 490 0.3× 2.0k 1.9× 729 0.7× 123 9.8k
Karl H. Jakobs Germany 58 7.7k 1.3× 2.1k 0.7× 359 0.2× 1.3k 1.2× 492 0.5× 175 10.0k

Countries citing papers authored by John W. Regan

Since Specialization
Citations

This map shows the geographic impact of John W. Regan'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 John W. Regan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John W. Regan more than expected).

Fields of papers citing papers by John W. Regan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Regan. 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 John W. Regan. The network helps show where John W. Regan may publish in the future.

Co-authorship network of co-authors of John W. Regan

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

All Works

20 of 20 papers shown
1.
Farina, Francesca R, et al.. (2023). Validation of the Fear and Avoidance of Memory Loss scale in community‐based older adults. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 15(2). e12432–e12432. 5 indexed citations
2.
Suganami, Akiko, Keijo Fukushima, John W. Regan, et al.. (2020). 15-Keto-PGE2 acts as a biased/partial agonist to terminate PGE2-evoked signaling. Journal of Biological Chemistry. 295(38). 13338–13352. 13 indexed citations
3.
Hutchinson, Anthony J., Chih-Ling Chou, Wei Xu, et al.. (2010). Induction of Angiogenic Immediate Early Genes by Activation of FP Prostanoid Receptors in Cultured Human Ciliary Smooth Muscle Cells. Current Eye Research. 35(5). 408–418. 11 indexed citations
5.
6.
Regan, John W.. (2003). EP2 and EP4 prostanoid receptor signaling. Life Sciences. 74(2-3). 143–153. 363 indexed citations
7.
Porter, Amy C., Samuel Svensson, W. Daniel Stamer, et al.. (2003). Alpha-2 adrenergic receptors stimulate actin organization in developing fetal rat cardiac myocytes. Life Sciences. 72(13). 1455–1466. 14 indexed citations
8.
Huang, Yi, et al.. (2002). Expression of α2-adrenergic receptor subtypes in prenatal rat spinal cord. Developmental Brain Research. 133(2). 93–104. 11 indexed citations
9.
Ostrom, Rennolds S., Caroline Gregorian, Ryan M. Drenan, et al.. (2001). Receptor Number and Caveolar Co-localization Determine Receptor Coupling Efficiency to Adenylyl Cyclase. Journal of Biological Chemistry. 276(45). 42063–42069. 214 indexed citations
10.
Hoyer, Patricia B., Samuel L. Marion, Bo R. Rueda, et al.. (1999). Ovine Prostaglandin F<sub>2α</sub> Receptor: Steroid Influence on Steady-State Levels of Luteal mRNA. Endocrine. 10(2). 105–112. 4 indexed citations
11.
Yool, Andrea J., W. Daniel Stamer, & John W. Regan. (1996). Forskolin Stimulation of Water and Cation Permeability in Aquaporin1 Water Channels. Science. 273(5279). 1216–1218. 144 indexed citations
12.
Woodward, David F., A M Bogardus, John E. Donello, et al.. (1995). Molecular Characterization and Ocular Hypotensive Properties of the Prostanoid EP 2 Receptor. Journal of Ocular Pharmacology and Therapeutics. 11(3). 447–454. 24 indexed citations
13.
Burkey, Thomas H., et al.. (1995). 6-isopropoxy-9-oxoxanthene-2-carboxylic acid (AH 6809), a human EP2 receptor antagonist. Biochemical Pharmacology. 50(10). 1731–1733. 96 indexed citations
14.
Huang, Yi, Patrick Vanscheeuwijck, & John W. Regan. (1993). Precipitation with KCl improves the chemical cross-linking of GST-fusion proteins to agarose after solubilization with SDS.. PubMed. 15(6). 989–92. 3 indexed citations
15.
Lefkowitz, Robert J., Brian K. Kobilka, J.L. Benovic, et al.. (1988). Molecular Biology of Adrenergic Receptors. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 507–514. 24 indexed citations
16.
Regan, John W., et al.. (1986). Chemical modification of α2-adrenoceptors. Biochemical Pharmacology. 35(22). 4089–4094. 10 indexed citations
17.
Regan, John W., Henry I. Yamamura, Shizuo Yamada, & William R. Roeske. (1980). Renal benzodiazepine binding increases during deoxycorticosterone/salt hypertension in rats. European Journal of Pharmacology. 67(1). 167–168. 20 indexed citations
18.
Regan, John W. & Leonard F. Bjeldanes. (1976). Metabolism of (+)-limonene in rats. Journal of Agricultural and Food Chemistry. 24(2). 377–380. 29 indexed citations
19.
Mainoya, J. R., Howard A. Bern, & John W. Regan. (1974). INFLUENCE OF OVINE PROLACTIN ON TRANSPORT OF FLUID AND SODIUM CHLORIDE BY THE MAMMALIAN INTESTINE AND GALL BLADDER. Journal of Endocrinology. 63(2). 311–317. 21 indexed citations
20.
Buhl, S N & John W. Regan. (1973). DNA replication in human cells treated with methyl methanesulfonate. Mutation Research/Fundamental and Molecular Mechanisms of Mutagenesis. 18(2). 191–197. 37 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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