James Simpson
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Phosphodiesterase function and regulation 3
- Receptor Mechanisms and Signaling 3
- Ubiquitin and proteasome pathways 2
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- AI in Service Interactions 8
- Co-authors
- F. Antoni (7 shared papers)Janice M. Paterson (2 shared papers)Anders Haunsø (2 shared papers)Michael J. Shipston (1 shared paper)Richard J. O. Barnard (1 shared paper)Lesley A. Stark (3 shared papers)Susan M. Smith (1 shared paper)Carolyn J. Loveridge (2 shared papers)
- Journals
- FEBS Letters (2 papers)Journal of Biological Chemistry (1 paper)Frontiers in Psychology (1 paper)Research in Veterinary Science (1 paper)Molecular Pharmacology (1 paper)
- Partner nations
- United KingdomAustraliaHungary
In The Last Decade
James Simpson
35 papers receiving 374 citations
Peers
Comparison fields: 5 of 107
- Behavioral Neuroscience 14
- Cellular and Molecular Neuroscience 55
- Molecular Biology 198
- Cancer Research 39
- Physiology 12
Countries citing papers authored by James Simpson
This map shows the geographic impact of James Simpson'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 James Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Simpson more than expected).
Fields of papers citing papers by James Simpson
This network shows the impact of papers produced by James Simpson. 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 James Simpson. The network helps show where James Simpson may publish in the future.
Co-authors
The 25 scholars most cited alongside James Simpson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 77 | |
| 2 | 2010 | 59 | |
| 3 | 2003 | 33 | |
| 4 | 2018 | 23 | |
| 5 | 2003 | 23 | |
| 6 | 2018 | 20 | |
| 7 | 2014 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2006 | 15 | |
| 10 | 1994 | 13 | |
| 11 | 1987 | 9 | |
| 12 | 2022 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 1988 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 1989 | 3 |
About James Simpson
James Simpson is a scholar working on Molecular Biology, Artificial Intelligence, Social Psychology, Human-Computer Interaction and Physiology, having authored 37 papers that have together received 387 indexed citations. Recurring topics across this work include AI in Service Interactions (8 papers), Team Dynamics and Performance (4 papers), Phosphodiesterase function and regulation (3 papers), Receptor Mechanisms and Signaling (3 papers), Social Robot Interaction and HRI (3 papers), NF-κB Signaling Pathways (3 papers), Innovative Human-Technology Interaction (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Behavioral Neuroscience (14 citations), Cellular and Molecular Neuroscience (55 citations), Molecular Biology (198 citations), Cancer Research (39 citations) and Physiology (12 citations). James Simpson has collaborated with scholars based in United Kingdom, Australia and Hungary. Frequent co-authors include F. Antoni, Janice M. Paterson, Anders Haunsø, Michael J. Shipston, Richard J. O. Barnard, Lesley A. Stark, Susan M. Smith, Carolyn J. Loveridge, Alexandra Clipson and Malcolm G. Dunlop. Their work appears in journals such as FEBS Letters, Journal of Biological Chemistry, Frontiers in Psychology, Research in Veterinary Science and Molecular Pharmacology.
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.