Thomas J. Graddis

16 total papers · 445 total citations
13 papers, 364 citations indexed

About

Thomas J. Graddis is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Thomas J. Graddis has authored 13 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Thomas J. Graddis's work include Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). Thomas J. Graddis is often cited by papers focused on Immunotherapy and Immune Responses (6 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Peptidase Inhibition and Analysis (3 papers). Thomas J. Graddis collaborates with scholars based in United States. Thomas J. Graddis's co-authors include Catherine J. McMahan, Keith J. Page, James Trager, Dale L. Oxender, Amy L. Gibson, Mark D. Adams, Robert Landick, Tammy K. Antonucci, Reiner Laus and Damir Vidović and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Clinical Cancer Research.

In The Last Decade

Thomas J. Graddis

13 papers receiving 345 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. Graddis 186 102 76 68 48 13 364
Wesley Martin 232 1.2× 100 1.0× 71 0.9× 22 0.3× 31 0.6× 9 403
Karen M. Miner 150 0.8× 85 0.8× 40 0.5× 123 1.8× 77 1.6× 10 399
Melissa L.T. Teoh 203 1.1× 43 0.4× 48 0.6× 45 0.7× 14 0.3× 13 365
F Ghani 170 0.9× 61 0.6× 27 0.4× 96 1.4× 89 1.9× 8 397
Olga P. Ryabinina 242 1.3× 103 1.0× 23 0.3× 47 0.7× 18 0.4× 12 396
Ida Deichaite 289 1.6× 26 0.3× 50 0.7× 73 1.1× 21 0.4× 17 392
Raymond J. Moniz 166 0.9× 126 1.2× 22 0.3× 72 1.1× 32 0.7× 16 352
Xiang Gao 137 0.7× 24 0.2× 39 0.5× 41 0.6× 58 1.2× 16 338
D. C. Webb 125 0.7× 80 0.8× 84 1.1× 50 0.7× 11 0.2× 10 344
Michael E. Lambert 234 1.3× 27 0.3× 52 0.7× 81 1.2× 26 0.5× 15 402

Countries citing papers authored by Thomas J. Graddis

Since Specialization
Citations

This map shows the geographic impact of Thomas J. Graddis'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. Graddis 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. Graddis more than expected).

Fields of papers citing papers by Thomas J. Graddis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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