Stephen M. Husbands
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 5%
- Organic Chemistry top 5%
- Pharmacology top 5%
- Co-authors
- John W. LewisJohn R. TraynorMei‐Chuan KoDavid NuttAlan L. HudsonGerta Cami‐KobeciAmy Hauck NewmanChristopher Bailey
- Topics
- Neuropeptides and Animal Physiology (82 papers)Receptor Mechanisms and Signaling (73 papers)Pharmacological Receptor Mechanisms and Effects (51 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Stephen M. Husbands
156 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 2.7k
- Cellular and Molecular Neuroscience 2.5k
- Physiology 720
- Organic Chemistry 419
- Pharmacology 296
Countries citing papers authored by Stephen M. Husbands
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 137 | |
| 8 | 86 | |
| 9 | 14 | |
| 10 | Structural insights into µ-opioid receptor activationbreakdown → | 700 |
| 11 | 27 | |
| 12 | 2 | |
| 13 | 54 | |
| 14 | 70 | |
| 15 | 56 | |
| 16 | 17 | |
| 17 | 46 | |
| 18 | 32 | |
| 19 | 9 | |
| 20 | 9 |
About Stephen M. Husbands
Stephen M. Husbands is a scholar working on Cellular and Molecular Neuroscience, Toxicology and Molecular Biology, having authored 157 papers that have together received 4.0k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (82 papers), Receptor Mechanisms and Signaling (73 papers) and Pharmacological Receptor Mechanisms and Effects (51 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.5k citations), Molecular Biology (2.7k citations) and Toxicology (117 citations). Stephen M. Husbands has collaborated with scholars based in United Kingdom, United States and France. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and NeuroImage.
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.