M. D. Taylor

30 total papers · 746 total citations
19 papers, 450 citations indexed

About

M. D. Taylor is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Finance. According to data from OpenAlex, M. D. Taylor has authored 19 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Finance. Recurrent topics in M. D. Taylor's work include Receptor Mechanisms and Signaling (4 papers), Stochastic processes and financial applications (3 papers) and Neuropeptides and Animal Physiology (3 papers). M. D. Taylor is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Stochastic processes and financial applications (3 papers) and Neuropeptides and Animal Physiology (3 papers). M. D. Taylor collaborates with scholars based in United States, United Kingdom and Poland. M. D. Taylor's co-authors include Albert J. Owen, A. T. Andrews, Piotr Mikusiński, Ludger Rüschendorf, B. Schweizer, H. Sherwood, Marı́a L. de Ceballos, Gene C. Palmer, Alfred Callahan and Lynne J. Eddy and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

M. D. Taylor

18 papers receiving 423 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. D. Taylor 161 114 94 85 52 19 450
C. Thomas Lin 54 0.3× 56 0.5× 234 2.5× 11 0.1× 43 0.8× 14 481
Prakasa Rao 213 1.3× 23 0.2× 205 2.2× 13 0.2× 39 0.8× 17 463
Maud Delattre 52 0.3× 136 1.2× 123 1.3× 13 0.2× 8 0.2× 24 479
Lan Wu 105 0.7× 36 0.3× 45 0.5× 5 0.1× 138 2.7× 26 421
Akio Kudô 28 0.2× 20 0.2× 281 3.0× 10 0.1× 97 1.9× 29 450
Simone Giannerini 23 0.1× 196 1.7× 26 0.3× 3 0.0× 25 0.5× 46 417
Luca Tardella 11 0.1× 85 0.7× 165 1.8× 16 0.2× 12 0.2× 32 420
Siu Hung Cheung 20 0.1× 34 0.3× 357 3.8× 8 0.1× 268 5.2× 58 530
Anja Sturm 221 1.4× 28 0.2× 43 0.5× 30 0.6× 21 420
Pierre Patie 284 1.8× 35 0.3× 69 0.7× 109 2.1× 33 440

Countries citing papers authored by M. D. Taylor

Since Specialization
Citations

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

Fields of papers citing papers by M. D. Taylor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. D. Taylor

This figure shows the co-authorship network connecting the top 25 collaborators of M. D. Taylor. A scholar is included among the top collaborators of M. D. Taylor 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. D. Taylor. M. D. Taylor 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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