Martin D. Hynes

84 total papers · 1.6k total citations
48 papers, 1.2k citations indexed

About

Martin D. Hynes is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Martin D. Hynes has authored 48 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Cellular and Molecular Neuroscience, 22 papers in Physiology and 21 papers in Molecular Biology. Recurrent topics in Martin D. Hynes's work include Neurotransmitter Receptor Influence on Behavior (16 papers), Pain Mechanisms and Treatments (15 papers) and Neuropeptides and Animal Physiology (13 papers). Martin D. Hynes is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (16 papers), Pain Mechanisms and Treatments (15 papers) and Neuropeptides and Animal Physiology (13 papers). Martin D. Hynes collaborates with scholars based in United States, United Kingdom and Israel. Martin D. Hynes's co-authors include Harbans Lal, Gerald Gianutsos, Richard Drawbaugh, Barry A. Berkowitz, Ray W. Fuller, J. David Leander, James A. Clemens, Jon K. Reel, Kerry G. Bemis and R Hahn and has published in prestigious journals such as Pain, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Martin D. Hynes

46 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Martin D. Hynes 863 542 328 129 108 48 1.2k
Gary T. Shearman 1.1k 1.3× 612 1.1× 280 0.9× 115 0.9× 103 1.0× 50 1.4k
K Bervoets 972 1.1× 674 1.2× 303 0.9× 156 1.2× 113 1.0× 39 1.4k
L. Singh 899 1.0× 653 1.2× 520 1.6× 170 1.3× 69 0.6× 33 1.4k
Daniel P. McLaughlin 744 0.9× 468 0.9× 211 0.6× 171 1.3× 64 0.6× 31 1.3k
M Grabowska 775 0.9× 502 0.9× 236 0.7× 77 0.6× 125 1.2× 50 1.2k
P.E. Keane 750 0.9× 459 0.8× 180 0.5× 259 2.0× 94 0.9× 41 1.4k
V. Havlíček 678 0.8× 443 0.8× 339 1.0× 73 0.6× 72 0.7× 34 1.2k
Michael B. Tyers 978 1.1× 716 1.3× 376 1.1× 86 0.7× 97 0.9× 24 1.5k
I.F. Tulloch 974 1.1× 520 1.0× 404 1.2× 88 0.7× 105 1.0× 41 1.6k
Rémi Quirion 1.4k 1.7× 907 1.7× 347 1.1× 127 1.0× 130 1.2× 25 1.7k

Countries citing papers authored by Martin D. Hynes

Since Specialization
Citations

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

Fields of papers citing papers by Martin D. Hynes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin D. Hynes

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