N.M.J. Rupniak
- Cellular and Molecular Neuroscience top 0.2%
- Neuropeptides and Animal Physiology 44
- Neuroscience and Neuropharmacology Research 33
- Neurotransmitter Receptor Influence on Behavior 28
- Behavioral Neuroscience top 1%
- Biological Psychiatry top 2%
- Neurology top 1%
- Parkinson's Disease Mechanisms and Treatments 9
- Psychiatry and Mental health top 2%
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- Receptor Mechanisms and Signaling 43
- Pharmacological Receptor Mechanisms and Effects 12
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- Pain Mechanisms and Treatments 18
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- Memory and Neural Mechanisms 11
N.M.J. Rupniak
110 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 117
- Cellular and Molecular Neuroscience 3.7k
- Behavioral Neuroscience 530
- Biological Psychiatry 212
- Neurology 773
- Psychiatry and Mental health 568
Countries citing papers authored by N.M.J. Rupniak
This map shows the geographic impact of N.M.J. Rupniak'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 N.M.J. Rupniak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N.M.J. Rupniak more than expected).
Fields of papers citing papers by N.M.J. Rupniak
This network shows the impact of papers produced by N.M.J. Rupniak. 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 N.M.J. Rupniak. The network helps show where N.M.J. Rupniak may publish in the future.
Co-authorship network
The 25 scholars most cited alongside N.M.J. Rupniak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2018 | 1 | |
| 3 | 2017 | 11 | |
| 4 | 2007 | 24 | |
| 5 | 2005 | 184 | |
| 6 | 2002 | 60 | |
| 7 | 2001 | 66 | |
| 8 | 2001 | 60 | |
| 9 | 2000 | 39 | |
| 10 | 1999 | 13 | |
| 11 | 1999 | 283 | |
| 12 | 1999 | 67 | |
| 13 | 1996 | 69 | |
| 14 | 1992 | 18 | |
| 15 | 1991 | 37 | |
| 16 | 1990 | 47 | |
| 17 | 1990 | 90 | |
| 18 | 1990 | 9 | |
| 19 | 1989 | 27 | |
| 20 | 1983 | 14 |
About N.M.J. Rupniak
N.M.J. Rupniak is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Physiology, Molecular Biology and Neurology, having authored 111 papers that have together received 5.5k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (44 papers), Receptor Mechanisms and Signaling (43 papers), Neuroscience and Neuropharmacology Research (33 papers), Neurotransmitter Receptor Influence on Behavior (28 papers), Pain Mechanisms and Treatments (18 papers), Pharmacological Receptor Mechanisms and Effects (12 papers), Memory and Neural Mechanisms (11 papers) and Parkinson's Disease Mechanisms and Treatments (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.7k citations), Behavioral Neuroscience (530 citations), Biological Psychiatry (212 citations), Neurology (773 citations) and Psychiatry and Mental health (568 citations). N.M.J. Rupniak has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include C. D. Marsden, Susan D. Iversen, Peter Jenner, Mark S. Kramer, Peter Jenner, M. J. Steventon, Angela Williams, J.K. Webb, S. Boyce and Emma Carlson. Their work appears in journals such as Psychopharmacology, Neuropharmacology, European Journal of Pharmacology, Clinical Neuropharmacology and Bioorganic & Medicinal Chemistry Letters.
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.