M. THOMPSON

43 total papers · 455 total citations
13 papers, 367 citations indexed

About

M. THOMPSON is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, M. THOMPSON has authored 13 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Organic Chemistry, 5 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in M. THOMPSON's work include Chemical synthesis and alkaloids (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Alkaloids: synthesis and pharmacology (2 papers). M. THOMPSON is often cited by papers focused on Chemical synthesis and alkaloids (4 papers), Nicotinic Acetylcholine Receptors Study (3 papers) and Alkaloids: synthesis and pharmacology (2 papers). M. THOMPSON collaborates with scholars based in United States, United Kingdom and Canada. M. THOMPSON's co-authors include N. Upton, Jeffrey C. Jerman, George Davey Smith, Angela Worby, Sarah C. Lappin, Paul Wyman, Martin J. Gunthorpe, Ceri H. Davies, Ellen M. Soffin and Janet L. Davis and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Medicinal Chemistry and British Journal of Pharmacology.

In The Last Decade

M. THOMPSON

13 papers receiving 351 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M. THOMPSON 175 124 74 69 56 13 367
Sarah C. Lappin 282 1.6× 183 1.5× 109 1.5× 110 1.6× 20 0.4× 6 438
Pan-Yue Deng 47 0.3× 81 0.7× 119 1.6× 111 1.6× 31 0.6× 14 365
Yoko Kogure 127 0.7× 108 0.9× 104 1.4× 50 0.7× 10 0.2× 18 368
Nana Tsiklauri 124 0.7× 191 1.5× 57 0.8× 127 1.8× 19 0.3× 26 345
Hiroyuki Ohshiro 29 0.2× 99 0.8× 107 1.4× 81 1.2× 22 0.4× 10 373
Soh Katsuyama 91 0.5× 125 1.0× 71 1.0× 57 0.8× 18 0.3× 28 407
Amanda Spring de Almeida 127 0.7× 129 1.0× 66 0.9× 37 0.5× 23 0.4× 16 362
Srinivas Gullapalli 54 0.3× 92 0.7× 161 2.2× 126 1.8× 15 0.3× 19 415
Cosmin I. Ciotu 203 1.2× 103 0.8× 84 1.1× 78 1.1× 9 0.2× 21 362
Kay A. Wardle 48 0.3× 93 0.8× 165 2.2× 166 2.4× 15 0.3× 14 368

Countries citing papers authored by M. THOMPSON

Since Specialization
Citations

This map shows the geographic impact of M. THOMPSON'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. THOMPSON with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. THOMPSON more than expected).

Fields of papers citing papers by M. THOMPSON

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. THOMPSON. 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. THOMPSON. The network helps show where M. THOMPSON may publish in the future.

Co-authorship network of co-authors of M. THOMPSON

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

All Works

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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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