William L. Dewey

9.5k total citations · 1 hit paper
279 papers, 7.7k citations indexed

About

William L. Dewey is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, William L. Dewey has authored 279 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 166 papers in Cellular and Molecular Neuroscience, 120 papers in Physiology and 119 papers in Molecular Biology. Recurrent topics in William L. Dewey's work include Pain Mechanisms and Treatments (95 papers), Neuropeptides and Animal Physiology (88 papers) and Neuroscience and Neuropharmacology Research (69 papers). William L. Dewey is often cited by papers focused on Pain Mechanisms and Treatments (95 papers), Neuropeptides and Animal Physiology (88 papers) and Neuroscience and Neuropharmacology Research (69 papers). William L. Dewey collaborates with scholars based in United States, United Kingdom and Bulgaria. William L. Dewey's co-authors include Louis S. Harris, Hamid I. Akbarali, Forrest L. Smith, John F. Howes, Graeme Henderson, Eamonn Kelly, David A. Brase, Billy R. Martin, Gábor Simon and Bichoy H. Gabra and has published in prestigious journals such as Nature, Science and Journal of Neuroscience.

In The Last Decade

William L. Dewey

270 papers receiving 7.5k citations

Hit Papers

align trajectories

Peers

William L. Dewey

CMN

MB

PHYSI

PHARM

CN

Edward D. Högestätt Sweden

Victoria Chapman United Kingdom

Michel Bourin France

Sabatino Maione Italy

Elliott Richelson United States

Martin W. Adler United States

Peter M. Zygmunt Sweden

Mark Connor Australia

Alain Eschalier France

Todd W. Vanderah United States

Edward D. Högestätt Sweden

William L. Dewey

2.7k ×0.6

CMN

1.6k ×0.5

MB

2.9k ×1.2

PHYSI

2.2k ×0.9

PHARM

470 ×1.0

CN

Citations per year, relative to William L. Dewey William L. Dewey (= 1×) peers Edward D. Högestätt

Countries citing papers authored by William L. Dewey

Since Specialization

Citations

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

Fields of papers citing papers by William L. Dewey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William L. Dewey. 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 William L. Dewey. The network helps show where William L. Dewey may publish in the future.

Co-authorship network of co-authors of William L. Dewey

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

All Works

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20 of 20 papers shown

1.

Poklis, Justin L., et al.. (2024). Acute Biodistribution Comparison of Fentanyl and Morphine. SHILAP Revista de lepidopterología. 3(4). 437–460.

2.

Akbarali, Hamid I., William L. Dewey, Minho Kang, et al.. (2022). Opioid-like adverse effects of tianeptine in male rats and mice. Psychopharmacology. 239(7). 2187–2199. 13 indexed citations

3.

Sierra, Salvador, et al.. (2020). Adjunctive effect of the serotonin 5-HT2C receptor agonist lorcaserin on opioid-induced antinociception in mice. Neuropharmacology. 167. 107949–107949. 12 indexed citations

4.

Hill, R. W., et al.. (2019). Fentanyl depression of respiration: Comparison with heroin and morphine. British Journal of Pharmacology. 177(2). 254–265. 132 indexed citations

5.

Hill, R. W., Alex Disney, Alexandra E. Conibear, et al.. (2018). The novel μ‐opioid receptor agonist PZM21 depresses respiration and induces tolerance to antinociception. British Journal of Pharmacology. 175(13). 2653–2661. 137 indexed citations

6.

Hoot, Michelle R., et al.. (2011). Chronic neuropathic pain in mice reduces μ-opioid receptor-mediated G-protein activity in the thalamus. Brain Research. 1406. 1–7. 26 indexed citations

7.

Bailey, Christopher, Javier Llorente, Bichoy H. Gabra, et al.. (2009). Role of protein kinase C and μ‐opioid receptor (MOPr) desensitization in tolerance to morphine in rat locus coeruleus neurons. European Journal of Neuroscience. 29(2). 307–318. 81 indexed citations

8.

Smith, Forrest L., et al.. (2004). Effects of mGlu 1 and mGlu 5 metabotropic glutamate antagonists to reverse morphine tolerance in mice. European Journal of Pharmacology. 492(2-3). 137–142. 25 indexed citations

9.

Dewey, William L. & Louis S. Harris. (2003). Problems of Drug Dependence, 2002: Proceedings of the 64th Annual Scientific Meeting, The College on Problems of Drug Dependence, Inc.. 162. 28 indexed citations

10.

Smith, Forrest L., et al.. (1999). Involvement of phospholipid signal transduction pathways in morphine tolerance in mice. British Journal of Pharmacology. 128(1). 220–226. 62 indexed citations

11.

Welch, Sandra P., Forrest L. Smith, & William L. Dewey. (1997). Morphine tolerance-induced modulation of [3H]glyburide binding to mouse brain and spinal cord. Drug and Alcohol Dependence. 45(1-2). 47–53. 8 indexed citations

12.

Little, Deborah M., et al.. (1986). Effect of soman on the cholinergic system in mouse brain. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 indexed citations

13.

Welch, Sandra P., David A. Brase, Cyrus Cooper, & William L. Dewey. (1986). Comparison of the effects of salmon calcitonin (sCT) and calcitonin gene-related peptide (CGRP) in a number of in vivo and in vitro tests. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 1 indexed citations

14.

Dewey, William L., et al.. (1986). Opiate addicts on methadone and after naltrexone plasma endorphin immunoreactivity. The Journal of Clinical Pharmacology. 26(7). 558. 1 indexed citations

15.

Aceto, Mario D., et al.. (1984). β-Funaltrexamine (β-FNA) and morphine dependence. Federation Proceedings. 43(3). 2 indexed citations

16.

Vocci, Frank J., Sandra P. Welch, & William L. Dewey. (1980). Differential effects of divalent cations, cation chelators and an ionophore (A23187) on morphine and dibutyryl guanosine 3': 5'-cyclic monophosphate antinociception.. Journal of Pharmacology and Experimental Therapeutics. 214(3). 463–466. 27 indexed citations

17.

Bloom, Alan S., Kenneth M. Johnson, & William L. Dewey. (1978). The effects of cannabinoids on body temperature and brain catecholamine synthesis.. PubMed. 20(1). 51–7. 21 indexed citations

18.

Johnson, Kenneth M. & William L. Dewey. (1978). The effect of delta9-tetrahydrocannabinol on the conversion of [3H]trypotphan to 5-[3H] hydroxytryptamine in the mouse brain.. Journal of Pharmacology and Experimental Therapeutics. 207(1). 140–150. 7 indexed citations

19.

End, David W., et al.. (1977). A comparative study of the disposition of (-)-delta 9-tetrahydrocannabinol in neuroblastoma and glioma cells in tissue culture: relation cellular impairment.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 13(5). 864–71. 11 indexed citations

20.

Johnson, Kenneth M., William L. Dewey, & Louis S. Harris. (1976). Δ9 THC induced elevations of mouse brain tryptophan and consequent increased serotonin production. 18(2). 3 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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