M.P. Payne

427 total citations
9 papers, 308 citations indexed

About

M.P. Payne is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, M.P. Payne has authored 9 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in M.P. Payne's work include Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). M.P. Payne is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Glycosylation and Glycoproteins Research (1 paper). M.P. Payne collaborates with scholars based in United Kingdom, Canada and France. M.P. Payne's co-authors include Peter Walsh, J. J. Langowski, Martin D. Barratt, Carol A. Marchant, Philip N. Judson, James E. Ridings, William P. Watson, Martin K. Ellis, David A. Basketter and M. Chamberlain and has published in prestigious journals such as Nature Communications, Toxicology and Journal of Electron Spectroscopy and Related Phenomena.

In The Last Decade

M.P. Payne

9 papers receiving 280 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
M.P. Payne United Kingdom	6	153	64	58	48	44	9	308
Elena Fioravanzo Italy	11	106 0.7×	48 0.8×	136 2.3×	52 1.1×	107 2.4×	31	436
Katarzyna R. Przybylak United Kingdom	17	245 1.6×	49 0.8×	81 1.4×	133 2.8×	23 0.5×	25	536
Orest T. Macina United States	14	203 1.3×	58 0.9×	137 2.4×	53 1.1×	89 2.0×	27	528
Angela White United Kingdom	10	131 0.9×	33 0.5×	100 1.7×	59 1.2×	31 0.7×	22	427
Milen Todorov Bulgaria	11	163 1.1×	27 0.4×	82 1.4×	44 0.9×	35 0.8×	22	320
G Klopman United States	11	218 1.4×	17 0.3×	110 1.9×	28 0.6×	64 1.5×	18	433
Yuki Sakuratani Japan	10	134 0.9×	10 0.2×	49 0.8×	68 1.4×	17 0.4×	23	360
Oliver Sacher Germany	10	209 1.4×	9 0.1×	182 3.1×	47 1.0×	16 0.4×	15	388
Christof H. Schwab Germany	9	279 1.8×	7 0.1×	184 3.2×	52 1.1×	42 1.0×	17	431
Conrad Stork Germany	12	327 2.1×	29 0.5×	303 5.2×	24 0.5×	50 1.1×	20	540

Countries citing papers authored by M.P. Payne

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of M.P. Payne

This figure shows the co-authorship network connecting the top 25 collaborators of M.P. Payne. A scholar is included among the top collaborators of M.P. Payne 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 M.P. Payne. M.P. Payne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Payne, M.P., et al.. (2025). Development of chemokine network inhibitors using combinatorial saturation mutagenesis. Communications Biology. 8(1). 549–549. 1 indexed citations

Payne, M.P., C. Clark, Philomena Mburu, et al.. (2023). Discovery and pharmacophoric characterization of chemokine network inhibitors using phage-display, saturation mutagenesis and computational modelling. Nature Communications. 14(1). 5763–5763. 9 indexed citations

Payne, M.P., et al.. (2013). Prediction of acute aquatic toxicity inTetrahymena pyriformis– ‘Eco-Derek’, a knowledge-based system approach^£. SAR and QSAR in environmental research. 24(6). 439–460. 2 indexed citations

Ridings, James E., Martin D. Barratt, Martin K. Ellis, et al.. (1996). Computer prediction of possible toxic action from chemical structure: an update on the DEREK system. Toxicology. 106(1-3). 267–279. 162 indexed citations

Payne, M.P. & Peter Walsh. (1994). Structure-activity relationships for skin sensitization potential: Development of structural alerts for use in knowledge-based toxicity prediction systems. Journal of Chemical Information and Computer Sciences. 34(1). 154–161. 71 indexed citations

Barratt, Martin D., et al.. (1994). Development of an expert system rulebase for identifying contact allergens. Toxicology in Vitro. 8(4). 837–839. 33 indexed citations

Janzen, Edward G., et al.. (1994). An ENDOR study of radical spin adducts derived from novel 2-substituted-5,5-dimethyl-pyrroline-N-oxide spin traps. Applied Magnetic Resonance. 6(4). 511–519. 1 indexed citations

Walsh, Peter, et al.. (1993). Neural Network Classification of Mutagens Using Structural Fragment Data. SAR and QSAR in environmental research. 1(2-3). 169–210. 14 indexed citations

Brennan, John G., et al.. (1993). A study of valence level photoelectron cross sections for the metallocenes of vanadium, chromium, cobalt and nickel from 20 to 100 eV. Journal of Electron Spectroscopy and Related Phenomena. 66(1-2). 101–115. 15 indexed citations

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.

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