M.P. Payne
Impact in
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- Computational Drug Discovery Methods
- Chemical Health and Safety top 10%
Papers in ⓘ
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- Machine Learning in Bioinformatics 1
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- Computational Drug Discovery Methods 4
- Co-authors
- Peter Walsh (2 shared papers)J. J. Langowski (2 shared papers)Martin D. Barratt (2 shared papers)James E. Ridings (1 shared paper)Martin K. Ellis (1 shared paper)William P. Watson (1 shared paper)Philip N. Judson (1 shared paper)Carol A. Marchant (1 shared paper)
- Journals
- SAR and QSAR in environmental research (2 papers)Nature Communications (1 paper)Toxicology (1 paper)Communications Biology (1 paper)Journal of Electron Spectroscopy and Related Phenomena (1 paper)
- Partner nations
- United KingdomCanadaFrance
In The Last Decade
M.P. Payne
9 papers receiving 280 citations
Peers
Comparison fields: 5 of 74
- Computational Theory and Mathematics 153
- Chemical Health and Safety 6
- Dermatology 64
- Small Animals 48
- Environmental Chemistry 27
Countries citing papers authored by M.P. Payne
This map shows the geographic impact of M.P. Payne'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 M.P. Payne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.P. Payne more than expected).
Fields of papers citing papers by M.P. Payne
This network shows the impact of papers produced by M.P. Payne. 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 M.P. Payne. The network helps show where M.P. Payne may publish in the future.
Co-authors
The 22 scholars most cited alongside M.P. Payne, 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 | 1996 | 162 | |
| 2 | 1994 | 71 | |
| 3 | 1994 | 33 | |
| 4 | 1993 | 15 | |
| 5 | 1993 | 14 | |
| 6 | 2023 | 9 | |
| 7 | 2013 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 1994 | 1 |
About M.P. Payne
M.P. Payne is a scholar working on Molecular Biology, Computational Theory and Mathematics, Health, Toxicology and Mutagenesis, Radiology, Nuclear Medicine and Imaging and Small Animals, having authored 9 papers that have together received 308 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Contact Dermatitis and Allergies (1 paper), Machine Learning in Bioinformatics (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper), Safety Warnings and Signage (1 paper) and Environmental Toxicology and Ecotoxicology (1 paper). The work is most often cited by research in Computational Theory and Mathematics (153 citations), Chemical Health and Safety (6 citations), Dermatology (64 citations), Small Animals (48 citations) and Environmental Chemistry (27 citations). M.P. Payne has collaborated with scholars based in United Kingdom, Canada and France. Frequent co-authors include Peter Walsh, J. J. Langowski, Martin D. Barratt, James E. Ridings, Martin K. Ellis, William P. Watson, Philip N. Judson, Carol A. Marchant, M. Chamberlain and David A. Basketter. Their work appears in journals such as SAR and QSAR in environmental research, Nature Communications, Toxicology, Communications Biology and Journal of Electron Spectroscopy and Related Phenomena.
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.