Kea Martin

26 total papers · 1.0k total citations
15 papers, 756 citations indexed

About

Kea Martin is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Kea Martin has authored 15 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 10 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Kea Martin's work include Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (9 papers) and CAR-T cell therapy research (5 papers). Kea Martin is often cited by papers focused on Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (9 papers) and CAR-T cell therapy research (5 papers). Kea Martin collaborates with scholars based in Switzerland, Germany and United States. Kea Martin's co-authors include Alfred Zippelius, Philipp Müller, Michael von Bergwelt‐Baildon, Jens Schreiner, Daniela S. Thommen, Katharina Glatz, Nadia Harbeck, Ulrike Nitz, Oleg Gluz and Tarik A. Khan and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Gut.

In The Last Decade

Kea Martin

14 papers receiving 736 citations

Author Peers

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

Author Last Decade Papers Cites
Kea Martin 482 282 196 133 100 15 756
E C Bradley 424 0.9× 409 1.5× 110 0.6× 153 1.2× 104 1.0× 17 877
Maria Hristopoulos 354 0.7× 178 0.6× 264 1.3× 277 2.1× 55 0.6× 14 684
Fiona Zhong 258 0.5× 375 1.3× 105 0.5× 307 2.3× 46 0.5× 13 904
Kazutoshi Ota 288 0.6× 105 0.4× 75 0.4× 219 1.6× 60 0.6× 17 620
Hitoshi Toyoda 354 0.7× 93 0.3× 131 0.7× 428 3.2× 83 0.8× 13 806
D. J. Ruiter 286 0.6× 274 1.0× 141 0.7× 300 2.3× 129 1.3× 13 763
J Bradley 309 0.6× 225 0.8× 259 1.3× 405 3.0× 54 0.5× 18 885
Kalyan C. Nannuru 494 1.0× 273 1.0× 45 0.2× 376 2.8× 95 0.9× 20 885
May S.K. Sutherland 438 0.9× 95 0.3× 251 1.3× 404 3.0× 23 0.2× 15 835
T Tsukada 326 0.7× 186 0.7× 50 0.3× 464 3.5× 45 0.5× 21 888

Countries citing papers authored by Kea Martin

Since Specialization
Citations

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

Fields of papers citing papers by Kea Martin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kea Martin

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