Thomas Holowka

28 total papers · 1.5k total citations
12 papers, 1.2k citations indexed

About

Thomas Holowka is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Thomas Holowka has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Thomas Holowka's work include Macrophage Migration Inhibitory Factor (4 papers), Immunotherapy and Immune Responses (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Thomas Holowka is often cited by papers focused on Macrophage Migration Inhibitory Factor (4 papers), Immunotherapy and Immune Responses (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Thomas Holowka collaborates with scholars based in United States, Canada and Netherlands. Thomas Holowka's co-authors include Edward J. Pearce, Connie M. Krawczyk, Justin R. Cross, Jie Sun, Ralph J. DeBerardinis, Eyal Amiel, Euihye Jung, Julianna Blagih, Russell G. Jones and Craig B. Thompson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and The Journal of Immunology.

In The Last Decade

Thomas Holowka

12 papers receiving 1.2k citations

Hit Papers

Toll-like receptor–induce... 2010 2026 2015 2020 2010 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Thomas Holowka 734 423 216 194 124 12 1.2k
Euihye Jung 722 1.0× 454 1.1× 156 0.7× 201 1.0× 91 0.7× 9 1.3k
Tianhao Duan 572 0.8× 498 1.2× 235 1.1× 109 0.6× 174 1.4× 13 1.2k
Hong-Hsing Liu 647 0.9× 520 1.2× 178 0.8× 206 1.1× 126 1.0× 20 1.2k
Michael G. Dorrington 639 0.9× 414 1.0× 253 1.2× 121 0.6× 86 0.7× 17 1.3k
Koji Ohashi 906 1.2× 531 1.3× 194 0.9× 105 0.5× 78 0.6× 14 1.4k
Yasunori Saitoh 709 1.0× 494 1.2× 135 0.6× 138 0.7× 150 1.2× 25 1.3k
Fumiko Nomura 984 1.3× 394 0.9× 269 1.2× 305 1.6× 61 0.5× 16 1.5k
Katherine Labbè 540 0.7× 866 2.0× 187 0.9× 122 0.6× 107 0.9× 15 1.4k
Ezra Aksoy 813 1.1× 448 1.1× 174 0.8× 167 0.9× 78 0.6× 24 1.3k
Ae-Kyung Yi 828 1.1× 348 0.8× 158 0.7× 108 0.6× 88 0.7× 14 1.2k

Countries citing papers authored by Thomas Holowka

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Holowka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Holowka

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