Thomas Hawthorne

68 total papers · 3.0k total citations
40 papers, 1.2k citations indexed

About

Thomas Hawthorne is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Thomas Hawthorne has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Oncology, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Immunology. Recurrent topics in Thomas Hawthorne's work include CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Thomas Hawthorne is often cited by papers focused on CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Thomas Hawthorne collaborates with scholars based in United States, Germany and Switzerland. Thomas Hawthorne's co-authors include Michael Yellin, Tibor Keler, Elizabeth Crowley, Thomas A. Davis, Branimir I. Šikić, Diego Alvarado, Matthew H. Taylor, Stephen M. Ansell, Richard Görlick and Víctor M. Villalobos and has published in prestigious journals such as Journal of Clinical Oncology, Cancer and Cancer Research.

In The Last Decade

Thomas Hawthorne

39 papers receiving 1.2k 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 Hawthorne 659 420 272 242 225 40 1.2k
Elizabeth Crowley 474 0.7× 171 0.4× 254 0.9× 241 1.0× 243 1.1× 39 992
J Lawry 469 0.7× 212 0.5× 482 1.8× 266 1.1× 97 0.4× 45 1.4k
Jaya Goyal 264 0.4× 211 0.5× 436 1.6× 223 0.9× 161 0.7× 38 1.4k
Stephen L. Eck 400 0.6× 283 0.7× 591 2.2× 133 0.5× 114 0.5× 35 1.3k
Jean Louis Ravetti 575 0.9× 461 1.1× 415 1.5× 129 0.5× 56 0.2× 45 1.3k
M Giai 463 0.7× 166 0.4× 477 1.8× 219 0.9× 118 0.5× 33 1.2k
Bart A. van de Wiel 569 0.9× 292 0.7× 255 0.9× 231 1.0× 54 0.2× 60 928
Donald Wong 731 1.1× 553 1.3× 315 1.2× 107 0.4× 65 0.3× 28 1.1k
Laura Casorzo 658 1.0× 160 0.4× 299 1.1× 317 1.3× 173 0.8× 29 1.2k
Kelly McGlinchey 601 0.9× 258 0.6× 248 0.9× 148 0.6× 133 0.6× 30 1.1k

Countries citing papers authored by Thomas Hawthorne

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Hawthorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Hawthorne

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