Thomas J. Pritchett

10 total papers · 630 total citations
6 papers, 547 citations indexed

About

Thomas J. Pritchett is a scholar working on Molecular Biology, Epidemiology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas J. Pritchett has authored 6 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas J. Pritchett's work include Influenza Virus Research Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Thomas J. Pritchett is often cited by papers focused on Influenza Virus Research Studies (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Thomas J. Pritchett collaborates with scholars based in United States, Japan and Germany. Thomas J. Pritchett's co-authors include James C. Paulson, Gary N. Rogers, Reinhard Brossmer, Ursula M. Rose, S. SABESAN, Naohisa Kochibe, Akira Kobata, H H Higa and Susan M. Carroll and has published in prestigious journals such as Journal of Biological Chemistry, Virology and Pure and Applied Chemistry.

In The Last Decade

Thomas J. Pritchett

6 papers receiving 521 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas J. Pritchett 301 272 122 108 96 6 547
Dawn Su-Yin Yeo 171 0.6× 239 0.9× 67 0.5× 89 0.8× 115 1.2× 15 483
Yung-Chieh Tseng 316 1.0× 194 0.7× 127 1.0× 77 0.7× 36 0.4× 13 470
Herwig Machat 215 0.7× 140 0.5× 143 1.2× 28 0.3× 40 0.4× 6 507
Juine-Ruey Chen 337 1.1× 220 0.8× 131 1.1× 79 0.7× 36 0.4× 13 519
N. E. Byramova 202 0.7× 363 1.3× 124 1.0× 113 1.0× 188 2.0× 13 564
Che‐Hsiung Hsu 239 0.8× 303 1.1× 82 0.7× 74 0.7× 167 1.7× 9 497
Kshama Kumari 195 0.6× 270 1.0× 64 0.5× 25 0.2× 106 1.1× 11 467
Catherine Caillet 169 0.6× 189 0.7× 104 0.9× 28 0.3× 176 1.8× 14 586
James H. Gilbert 147 0.5× 280 1.0× 108 0.9× 79 0.7× 141 1.5× 10 597
S.G. Vachieri 431 1.4× 179 0.7× 96 0.8× 47 0.4× 22 0.2× 8 500

Countries citing papers authored by Thomas J. Pritchett

Since Specialization
Citations

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

Fields of papers citing papers by Thomas J. Pritchett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas J. Pritchett

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas J. Pritchett. A scholar is included among the top collaborators of Thomas J. Pritchett 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 Thomas J. Pritchett. Thomas J. Pritchett 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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2026