Frank Tsai

991 citations
36 papers · 483 indexed · h-index 14

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • CAR-T cell therapy research
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Cancer Immunotherapy and Biomarkers 11
    • CAR-T cell therapy research 4
    • HER2/EGFR in Cancer Research 4
    • Pancreatic and Hepatic Oncology Research 4

Frank Tsai

36 papers receiving 473 citations

Peers

Frank Tsai
Comparison fields: 5 of 54
  • Oncology 278
  • Immunology 154
  • Biological Psychiatry 17
  • Cancer Research 58
  • Otorhinolaryngology 13
Replace Tatiana S. Gerashchenko with:
Tatiana S. Gerashchenko Russia
Roman Hennel Germany
Natanya R. Kerper United States
Lukas W. Pfannenstiel United States
Daniele Runci Italy
Mariano F. Zacarías Fluck Spain
Francis G Gabriel United Kingdom
Ruiqing Peng China
Verena Sailer Germany
Fabio Scirocchi Italy
Frank Tsai relative to Tatiana S. Gerashchenko Russia Tatiana S. Gerashchenko's profile →
Citations per field
00.5×5.7×
Tatiana S. Gerashchenko · 1×
Citations per year

Countries citing papers authored by Frank Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Frank Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Frank Tsai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Frank Tsai Line = papers co-authored together Frank Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20242
3 202421
4 202433
5 20244
6 20232
7 20231
8 20231
9 202126
10 202116
11 20211
12 20201
13 20194
14 201911
15 201845
16 201829
17 201813
18 20186
19 20152
20 201335

About Frank Tsai

Frank Tsai is a scholar working on Oncology, Biological Psychiatry, Biotechnology, Cancer Research and Immunology, having authored 36 papers that have together received 483 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (11 papers), Lung Cancer Treatments and Mutations (5 papers), CAR-T cell therapy research (4 papers), HER2/EGFR in Cancer Research (4 papers), Radiopharmaceutical Chemistry and Applications (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Immunotherapy and Immune Responses (4 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Oncology (278 citations), Immunology (154 citations), Biological Psychiatry (17 citations), Cancer Research (58 citations) and Otorhinolaryngology (13 citations). Frank Tsai has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Todd M. Bauer, Siqing Fu, Michael S. Gordon, Aaron R. Hansen, Eric J. Sherman, Kyriakos P. Papadopoulos, Filip Jankú, Michael J. Pishvaian, Keith Orford and Jeffrey R. Infante. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, Annals of Oncology, ESMO Open and Cancers.

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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