Travis Y. Tu

17 total papers · 724 total citations
8 papers, 442 citations indexed

About

Travis Y. Tu is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Travis Y. Tu has authored 8 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Immunology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Travis Y. Tu's work include Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Travis Y. Tu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (4 papers) and Immune Cell Function and Interaction (4 papers). Travis Y. Tu collaborates with scholars based in United States. Travis Y. Tu's co-authors include Peter P. Lee, John H. Yim, Diana L. Simons, Christian Avalos, Marwan Fakih, Chongkai Wang, James Waisman, Xuyang Lu, Shawn T. Solomon and Ruo‐Qian Wang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Nature Immunology.

In The Last Decade

Travis Y. Tu

8 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Travis Y. Tu 309 249 98 71 70 8 442
Pauline Maby 327 1.1× 182 0.7× 116 1.2× 94 1.3× 67 1.0× 7 457
Casilda Llácer 329 1.1× 159 0.6× 102 1.0× 70 1.0× 77 1.1× 11 469
Hannah L. Williams 282 0.9× 158 0.6× 101 1.0× 104 1.5× 94 1.3× 10 431
Christopher McQuinn 333 1.1× 184 0.7× 105 1.1× 61 0.9× 33 0.5× 6 432
Todd Maney 388 1.3× 154 0.6× 71 0.7× 98 1.4× 130 1.9× 7 480
Inga Rose 365 1.2× 155 0.6× 53 0.5× 82 1.2× 121 1.7× 8 444
Naoshi Kawamura 232 0.8× 203 0.8× 156 1.6× 57 0.8× 45 0.6× 12 455
Jean‐Nicolas Lodewyckx 350 1.1× 276 1.1× 85 0.9× 56 0.8× 63 0.9× 7 452
Zul Fazreen 277 0.9× 166 0.7× 72 0.7× 52 0.7× 121 1.7× 8 384
Ayana T. Ruffin 281 0.9× 224 0.9× 126 1.3× 74 1.0× 80 1.1× 11 457

Countries citing papers authored by Travis Y. Tu

Since Specialization
Citations

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

Fields of papers citing papers by Travis Y. Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis Y. Tu. 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 Travis Y. Tu. The network helps show where Travis Y. Tu may publish in the future.

Co-authorship network of co-authors of Travis Y. Tu

This figure shows the co-authorship network connecting the top 25 collaborators of Travis Y. Tu. A scholar is included among the top collaborators of Travis Y. Tu 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 Travis Y. Tu. Travis Y. Tu 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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