Nigel A. Swain
- Molecular Biology top 10%
- Cellular and Molecular Neuroscience top 5%
- Organic Chemistry top 10%
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Richard StorerSharan K. BagalChristopher G. TateMiles CongreveChris de GraafBrian E. MarronRichard C. D. BrownRobert M. Owen
- Topics
- Neuroscience and Neuropharmacology Research (5 papers)Ion channel regulation and function (5 papers)Receptor Mechanisms and Signaling (4 papers)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Nigel A. Swain
24 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 857
- Cellular and Molecular Neuroscience 342
- Organic Chemistry 301
- Physiology 176
- Cardiology and Cardiovascular Medicine 105
Countries citing papers authored by Nigel A. Swain
This map shows the geographic impact of Nigel A. Swain'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 Nigel A. Swain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nigel A. Swain more than expected).
Fields of papers citing papers by Nigel A. Swain
This network shows the impact of papers produced by Nigel A. Swain. 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 Nigel A. Swain. The network helps show where Nigel A. Swain may publish in the future.
Co-authorship network of co-authors of Nigel A. Swain
This figure shows the co-authorship network connecting the top 25 collaborators of Nigel A. Swain. A scholar is included among the top collaborators of Nigel A. Swain 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 Nigel A. Swain. Nigel A. Swain 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 | 18 | |
| 3 | Impact of GPCR Structures on Drug Discoverybreakdown → | 245 |
| 4 | 6 | |
| 5 | 19 | |
| 6 | 9 | |
| 7 | 100 | |
| 8 | 124 | |
| 9 | 174 | |
| 10 | 12 | |
| 11 | 14 | |
| 12 | 29 | |
| 13 | 40 | |
| 14 | 43 | |
| 15 | 11 | |
| 16 | 23 | |
| 17 | 1 | |
| 18 | 14 | |
| 19 | 53 | |
| 20 | Mutagenic evaluation of morphine sulphate and pethidine hydrochloride in mice by the micronucleus test. | 11 |
About Nigel A. Swain
Nigel A. Swain is a scholar working on Toxicology, Cellular and Molecular Neuroscience and Biochemistry, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (5 papers) and Receptor Mechanisms and Signaling (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (342 citations), Sensory Systems (73 citations) and Molecular Biology (857 citations). Nigel A. Swain has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Richard Storer, Sharan K. Bagal, Christopher G. Tate, Miles Congreve, Chris de Graaf, Brian E. Marron, Richard C. D. Brown, Robert M. Owen, Gordon Bruton and Mark L. Chapman. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.
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.