James J. Matsuda

22 total papers · 762 total citations
13 papers, 615 citations indexed

About

James J. Matsuda is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, James J. Matsuda has authored 13 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Cardiology and Cardiovascular Medicine and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in James J. Matsuda's work include Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neural Engineering (3 papers). James J. Matsuda is often cited by papers focused on Ion channel regulation and function (10 papers), Cardiac electrophysiology and arrhythmias (9 papers) and Neuroscience and Neural Engineering (3 papers). James J. Matsuda collaborates with scholars based in United States. James J. Matsuda's co-authors include E F Shibata, Kenneth A. Volk, Fred S. Lamb, Mohammed Filali, Jessica G. Moreland, Francis J. Miller, Michael J. Welsh, Gregory J. Kaczorowski, J. D. McCann and Jessica S. Hook and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Circulation Research.

In The Last Decade

James J. Matsuda

13 papers receiving 607 citations

Author Peers

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

Author Last Decade Papers Cites
James J. Matsuda 466 280 203 90 52 13 615
C. Blake Nichols 491 1.1× 262 0.9× 124 0.6× 74 0.8× 25 0.5× 12 599
George Vaniotis 463 1.0× 134 0.5× 180 0.9× 53 0.6× 33 0.6× 12 614
K Kojima 452 1.0× 158 0.6× 134 0.7× 90 1.0× 29 0.6× 9 627
Naina Bhasin 456 1.0× 271 1.0× 105 0.5× 83 0.9× 21 0.4× 10 642
Rosemary Murray 301 0.6× 128 0.5× 99 0.5× 121 1.3× 46 0.9× 19 542
Michel Lazdunski 495 1.1× 103 0.4× 138 0.7× 106 1.2× 26 0.5× 13 649
Kazuyoshi Toyama 290 0.6× 190 0.7× 80 0.4× 144 1.6× 40 0.8× 10 582
Iwan A. Williams 339 0.7× 229 0.8× 80 0.4× 147 1.6× 26 0.5× 8 499
Chin O. Lee 385 0.8× 258 0.9× 140 0.7× 36 0.4× 25 0.5× 16 504
K. D. Schreur 463 1.0× 172 0.6× 135 0.7× 128 1.4× 31 0.6× 11 662

Countries citing papers authored by James J. Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by James J. Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James J. Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of James J. Matsuda. A scholar is included among the top collaborators of James J. Matsuda 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 James J. Matsuda. James J. Matsuda 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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