Stephen M. Husbands

5.1k total citations · 1 hit paper
157 papers, 4.0k citations indexed

About

Stephen M. Husbands is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Stephen M. Husbands has authored 157 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Molecular Biology, 110 papers in Cellular and Molecular Neuroscience and 28 papers in Physiology. Recurrent topics in Stephen M. Husbands's work include Neuropeptides and Animal Physiology (82 papers), Receptor Mechanisms and Signaling (73 papers) and Pharmacological Receptor Mechanisms and Effects (51 papers). Stephen M. Husbands is often cited by papers focused on Neuropeptides and Animal Physiology (82 papers), Receptor Mechanisms and Signaling (73 papers) and Pharmacological Receptor Mechanisms and Effects (51 papers). Stephen M. Husbands collaborates with scholars based in United Kingdom, United States and France. Stephen M. Husbands's co-authors include John W. Lewis, John R. Traynor, Mei‐Chuan Ko, David Nutt, Alan L. Hudson, Gerta Cami‐Kobeci, Amy Hauck Newman, Christopher Bailey, Robin J. Tyacke and James H. Woods and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and NeuroImage.

In The Last Decade

Stephen M. Husbands

156 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structural insights into µ-opioid receptor activation

2015 700 citations Weijiao Huang, Aashish Manglik et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen M. Husbands United Kingdom	33	2.7k	2.5k	720	419	296	157	4.0k
F. Ivy Carroll United States	36	3.4k 1.3×	3.0k 1.2×	644 0.9×	772 1.8×	451 1.5×	169	5.2k
Lee‐Yuan Liu‐Chen United States	46	4.1k 1.5×	4.3k 1.7×	1.3k 1.8×	242 0.6×	322 1.1×	152	6.2k
Arthur E. Jacobson United States	33	2.6k 1.0×	2.6k 1.0×	488 0.7×	766 1.8×	314 1.1×	207	4.1k
John R. Traynor United States	42	5.5k 2.0×	5.2k 2.1×	1.4k 2.0×	382 0.9×	530 1.8×	245	7.5k
Aaron Janowsky United States	43	2.6k 1.0×	3.5k 1.4×	477 0.7×	430 1.0×	649 2.2×	129	5.5k
Florence Noble France	39	2.4k 0.9×	3.5k 1.4×	1.4k 2.0×	230 0.5×	613 2.1×	141	5.4k
Lawrence Toll United States	40	4.4k 1.6×	4.5k 1.8×	1.7k 2.3×	352 0.8×	378 1.3×	148	6.2k
Rae R. Matsumoto United States	44	4.1k 1.5×	3.0k 1.2×	370 0.5×	533 1.3×	610 2.1×	143	6.0k
Carrie K. Jones United States	43	3.9k 1.5×	4.0k 1.6×	427 0.6×	327 0.8×	472 1.6×	161	5.8k
Keith T. Demarest United States	40	2.0k 0.8×	1.0k 0.4×	542 0.8×	827 2.0×	355 1.2×	147	5.4k

Countries citing papers authored by Stephen M. Husbands

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. Husbands

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Husbands. 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 Stephen M. Husbands. The network helps show where Stephen M. Husbands may publish in the future.

Co-authorship network of co-authors of Stephen M. Husbands

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Husbands. A scholar is included among the top collaborators of Stephen M. Husbands 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 Stephen M. Husbands. Stephen M. Husbands 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

Manzoor, Shoaib, Gyles E. Cozier, Sam Craft, et al.. (2025). Field-Portable Device for Detection of Controlled and Psychoactive Substances from e-Cigarettes. ACS Omega. 10(8). 7839–7847. 2 indexed citations

Danson, Michael J., Marc W. van der Kamp, Oliver B. Sutcliffe, et al.. (2023). Synthetic cannabinoid receptor agonists are monoamine oxidase‐A selective inhibitors. FEBS Journal. 290(12). 3243–3257. 9 indexed citations

Cozier, Gyles E., Peter J. Collins, Tom S. F. Haines, et al.. (2023). Instant Detection of Synthetic Cannabinoids on Physical Matrices, Implemented on a Low-Cost, Ultraportable Device. Analytical Chemistry. 95(37). 13829–13837. 8 indexed citations

Ko, Mei‐Chuan & Stephen M. Husbands. (2020). Pleiotropic Effects of Kappa Opioid Receptor-Related Ligands in Non-human Primates. Handbook of experimental pharmacology. 271. 435–452. 5 indexed citations

Garfield, Kirsty, Stephen M. Husbands, Joanna Thorn, Sian Noble, & William Hollingworth. (2020). PNS48 DEVELOPMENT OF A BRIEF, GENERIC, MODULAR RESOURCE-USE MEASURE: QUALITATIVE INTERVIEWS WITH HEALTH ECONOMISTS. Value in Health. 23. S292–S293. 1 indexed citations

Maguire, David R., Lisa R. Gerak, Gerta Cami‐Kobeci, et al.. (2019). OREX-1019: A Novel Treatment of Opioid Use Disorder and Relapse Prevention. Journal of Pharmacology and Experimental Therapeutics. 372(2). 205–215. 9 indexed citations

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

Ding, Huiping, Paul W. Czoty, Norikazu Kiguchi, et al.. (2016). A novel orvinol analog, BU08028, as a safe opioid analgesic without abuse liability in primates. Proceedings of the National Academy of Sciences. 113(37). 86 indexed citations

Grabski, Meryem, H. Valerie Curran, David Nutt, et al.. (2016). Behavioural tasks sensitive to acute abstinence and predictive of smoking cessation success: a systematic review and meta‐analysis. Addiction. 111(12). 2134–2144. 14 indexed citations

10.

Huang, Weijiao, Aashish Manglik, AJ Venkatakrishnan, et al.. (2015). Structural insights into µ-opioid receptor activation. Nature. 524(7565). 315–321. 700 indexed citations breakdown →

11.

Sobczak, Marta, Gerta Cami‐Kobeci, Maciej Sałaga, Stephen M. Husbands, & Jakub Fichna. (2014). Novel mixed NOP/MOP agonist BU08070 alleviates pain and inhibits gastrointestinal motility in mouse models mimicking diarrhea-predominant irritable bowel syndrome symptoms. European Journal of Pharmacology. 736. 63–69. 27 indexed citations

12.

Kumar, Vinod, Mary J. Clark, John R. Traynor, John W. Lewis, & Stephen M. Husbands. (2014). Pyrrolo- and pyridomorphinans: Non-selective opioid antagonists and delta opioid agonists/mu opioid partial agonists. Bioorganic & Medicinal Chemistry. 22(15). 4067–4072. 2 indexed citations

13.

Sukhtankar, Devki, Nurulain T. Zaveri, Stephen M. Husbands, & Mei‐Chuan Ko. (2013). Effects of Spinally Administered Bifunctional Nociceptin/Orphanin FQ Peptide Receptor/μ-Opioid Receptor Ligands in Mouse Models of Neuropathic and Inflammatory Pain. Journal of Pharmacology and Experimental Therapeutics. 346(1). 11–22. 54 indexed citations

14.

Blazer, Levi L., David L. Roman, Alfred Chung, et al.. (2010). Reversible, Allosteric Small-Molecule Inhibitors of Regulator of G Protein Signaling Proteins. Molecular Pharmacology. 78(3). 524–533. 70 indexed citations

15.

Khroyan, Taline V., Willma E. Polgar, Gerta Cami‐Kobeci, et al.. (2010). The First Universal Opioid Ligand, (2S)-2-[(5R,6R,7R,14S)-N-cyclopropylmethyl-4,5-epoxy-6,14-ethano-3-hydroxy-6-methoxymorphinan-7-yl]-3,3-dimethylpentan-2-ol (BU08028): Characterization of the In Vitro Profile and In Vivo Behavioral Effects in Mouse Models of Acute Pain and Cocaine-Induced Reward. Journal of Pharmacology and Experimental Therapeutics. 336(3). 952–961. 56 indexed citations

16.

Husbands, Stephen M. & John Lewis. (2003). Opioid Ligands Having Delayed Long-Term Antagonist Activity: Potential Pharmacotherapies for Opioid Abuse. Mini-Reviews in Medicinal Chemistry. 3(2). 137–144. 17 indexed citations

17.

Matsumoto, Rae R., Buddy Pouw, Wayne D. Bowen, et al.. (2001). Rimcazole analogs attenuate the convulsive effects of cocaine: correlation with binding to sigma receptors rather than dopamine transporters. Neuropharmacology. 41(7). 878–886. 46 indexed citations

18.

Broadbear, Jillian H., Tina L. Sumpter, T F Burke, et al.. (2000). Methocinnamox Is a Potent, Long-Lasting, and Selective Antagonist of Morphine-Mediated Antinociception in the Mouse: Comparison with Clocinnamox, β-Funaltrexamine, and β-Chlornaltrexamine. Journal of Pharmacology and Experimental Therapeutics. 294(3). 933–940. 32 indexed citations

19.

Husbands, Stephen M., et al.. (2000). Selective κ-opioid antagonists related to naltrindole. effect of side-chain spacer in the 5′-amidinoalkyl series. Bioorganic & Medicinal Chemistry Letters. 10(20). 2259–2261. 9 indexed citations

20.

Husbands, Stephen M., et al.. (1999). Ring constrained analogues of the orvinols: The furanomorphides. Bioorganic & Medicinal Chemistry Letters. 9(6). 831–834. 9 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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