James T. Matthews

27 total papers · 720 total citations
15 papers, 603 citations indexed

About

James T. Matthews is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, James T. Matthews has authored 15 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Epidemiology, 7 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in James T. Matthews's work include Herpesvirus Infections and Treatments (9 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). James T. Matthews is often cited by papers focused on Herpesvirus Infections and Treatments (9 papers), Glycosylation and Glycoproteins Research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). James T. Matthews collaborates with scholars based in United States, Sweden and Germany. James T. Matthews's co-authors include Moira Hagen, Mark Krystal, Laurence Tiley, Roselyn J. Eisenberg, Gary H. Cohen, Deborah Long, Brian Terry, John T. Stevens, Phillip W. Berman and Marianne Gibson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Analytical Biochemistry and Journal of Virology.

In The Last Decade

James T. Matthews

15 papers receiving 562 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 T. Matthews 469 181 177 113 113 15 603
M L Haffey 501 1.1× 177 1.0× 138 0.8× 86 0.8× 180 1.6× 13 600
Philip R. Roane 434 0.9× 113 0.6× 165 0.9× 49 0.4× 187 1.7× 24 666
R.J. Eisenberg 536 1.1× 204 1.1× 82 0.5× 112 1.0× 194 1.7× 9 605
H. C. Kaerner 446 1.0× 156 0.9× 114 0.6× 59 0.5× 167 1.5× 23 548
D P Nayak 257 0.5× 81 0.4× 250 1.4× 51 0.5× 143 1.3× 15 531
Aryn A. Price 214 0.5× 137 0.8× 249 1.4× 118 1.0× 49 0.4× 8 623
Nilambar Biswal 449 1.0× 107 0.6× 200 1.1× 37 0.3× 186 1.6× 25 648
B. Precious 350 0.7× 246 1.4× 250 1.4× 29 0.3× 142 1.3× 15 668
Pamuk Bilsel 355 0.8× 224 1.2× 209 1.2× 100 0.9× 73 0.6× 28 638
H J Kung 460 1.0× 137 0.8× 138 0.8× 26 0.2× 109 1.0× 15 634

Countries citing papers authored by James T. Matthews

Since Specialization
Citations

This map shows the geographic impact of James T. Matthews'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 T. Matthews with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Matthews more than expected).

Fields of papers citing papers by James T. Matthews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James T. Matthews

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