David J. Matson

784 total citations
10 papers, 435 citations indexed

About

David J. Matson is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, David J. Matson has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 5 papers in Molecular Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in David J. Matson's work include Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (4 papers) and Neuropeptides and Animal Physiology (3 papers). David J. Matson is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Ion channel regulation and function (4 papers) and Neuropeptides and Animal Physiology (3 papers). David J. Matson collaborates with scholars based in United States. David J. Matson's co-authors include Daniel N. Cortright, Daniel C. Broom, Stefan McDonough, John H. Kehne, Jacinthe Gingras, Annika B. Malmberg, James B. Rottman, Matthew L. Peterson, Rudolph J. Beiler and Ruoyuan Yin and has published in prestigious journals such as Blood, PLoS ONE and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

David J. Matson

10 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Matson United States 9 224 192 174 56 43 10 435
Churmy Y. Fan Canada 7 108 0.5× 199 1.0× 102 0.6× 41 0.7× 42 1.0× 8 346
Ivan José Magayewski Bonet United States 13 85 0.4× 224 1.2× 154 0.9× 32 0.6× 50 1.2× 28 450
A. Urban Höglund Sweden 15 206 0.9× 199 1.0× 230 1.3× 5 0.1× 50 1.2× 26 568
Jean-Claude do-Rego France 13 335 1.5× 93 0.5× 358 2.1× 31 0.6× 51 1.2× 20 575
James N. Wiley United States 9 159 0.7× 98 0.5× 195 1.1× 71 1.3× 20 0.5× 11 387
J.P. Tarayre France 11 140 0.6× 276 1.4× 223 1.3× 7 0.1× 64 1.5× 33 528
Rudolf Weitzell Germany 8 347 1.5× 131 0.7× 316 1.8× 9 0.2× 33 0.8× 8 511
Daniel Beacham United States 10 306 1.4× 125 0.7× 224 1.3× 18 0.3× 16 0.4× 13 576
Masami Takeda Japan 9 86 0.4× 74 0.4× 76 0.4× 82 1.5× 26 0.6× 15 438
Petra Bloms‐Funke Germany 10 111 0.5× 88 0.5× 226 1.3× 6 0.1× 31 0.7× 15 343

Countries citing papers authored by David J. Matson

Since Specialization
Citations

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

Fields of papers citing papers by David J. Matson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Matson. 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 David J. Matson. The network helps show where David J. Matson may publish in the future.

Co-authorship network of co-authors of David J. Matson

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

All Works

10 of 10 papers shown
1.
Edwards, Lynn, et al.. (2023). HbF Inducing Eed Inhibitor Ftx-6058 Selectively and Reversibly Impacts Bone Marrow in Wild-Type Mice. Blood. 142(Supplement 1). 5265–5265. 2 indexed citations
2.
Huang, Xin, P.L. Shaffer, Howard Bregman, et al.. (2016). Crystal structures of human glycine receptor α3 bound to a novel class of analgesic potentiators. Nature Structural & Molecular Biology. 24(2). 108–113. 99 indexed citations
4.
Gingras, Jacinthe, David J. Matson, Ruoyuan Yin, et al.. (2014). Global Nav1.7 Knockout Mice Recapitulate the Phenotype of Human Congenital Indifference to Pain. PLoS ONE. 9(9). e105895–e105895. 113 indexed citations
5.
Nguyen, Hanh Nho, John L. Buchanan, Liyue Huang, et al.. (2011). Discovery and optimization of aminopyrimidinones as potent and state-dependent Nav1.7 antagonists. Bioorganic & Medicinal Chemistry Letters. 22(2). 1055–1060. 14 indexed citations
6.
Matson, David J., Daniel C. Broom, & Daniel N. Cortright. (2010). Locomotor Activity in a Novel Environment as a Test of Inflammatory Pain in Rats. Methods in molecular biology. 617. 67–78. 17 indexed citations
7.
Blum, Charles A., Xiaozhang Zheng, Harry L. Brielmann, et al.. (2008). Aminoquinazolines as TRPV1 antagonists: Modulation of drug-like properties through the exploration of 2-position substitution. Bioorganic & Medicinal Chemistry Letters. 18(16). 4573–4577. 13 indexed citations
8.
Broom, Daniel C., David J. Matson, Elizabeth M. Bradshaw, et al.. (2008). Characterization of N-(Adamantan-1-ylmethyl)-5-[(3 R-aminopyrrolidin-1-yl)methyl]-2-chloro-benzamide, a P2X7 Antagonist in Animal Models of Pain and Inflammation. Journal of Pharmacology and Experimental Therapeutics. 327(3). 620–633. 67 indexed citations
9.
Cortright, Daniel N., David J. Matson, & Daniel C. Broom. (2008). New frontiers in assessing pain and analgesia in laboratory animals. Expert Opinion on Drug Discovery. 3(9). 1099–1108. 13 indexed citations
10.
Matson, David J., et al.. (2006). Inflammation-Induced Reduction of Spontaneous Activity by Adjuvant: A Novel Model to Study the Effect of Analgesics in Rats. Journal of Pharmacology and Experimental Therapeutics. 320(1). 194–201. 87 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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