Yo-Ting Tsai

805 citations
25 papers · 463 · h-index 12

Impact in

    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis
    • Microbial Metabolism and Applications

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Cancer Cells and Metastasis 2
    • CAR-T cell therapy research 2
    • Ubiquitin and proteasome pathways 2
    • Heat shock proteins research 1

Yo-Ting Tsai

24 papers receiving 456 citations

Peers

Yo-Ting Tsai
Comparison fields: 5 of 60
  • Oncology 153
  • Biotechnology 41
  • Immunology 84
  • Cancer Research 42
  • Molecular Biology 179
Replace Agnès Legrand with:
Agnès Legrand France
Daniel P. Camarco United States
Sarah T. Diepstraten Australia
Michelle A. Herrmann United States
Hend Ahmed El-Hadaad Egypt
Hanan Ahmed Wahba Egypt
Xiaorui Su China
Qingwen Jiang United States
Behnaz Ahangarian Abhari Germany
Liz J. Hernández Borrero United States
Yo-Ting Tsai relative to Agnès Legrand France Agnès Legrand's profile →
Citations per field
00.5×6.4×
Agnès Legrand · 1×
Citations per year

Countries citing papers authored by Yo-Ting Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Yo-Ting Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yo-Ting 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 Yo-Ting Tsai Line = papers co-authored together Yo-Ting Tsai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010117
2 202147
3 200743
4 201241
5 202230
6 201230
7 202424
8 201919
9 202318
10 202216
11 202413
12 202312
13 20159
14 20238
15 20218
16 20148
17 20156
18 20173
19 20223
20 20252

About Yo-Ting Tsai

Yo-Ting Tsai is a scholar working on Oncology, Molecular Biology, Neurology, Genetics and Pharmacology, having authored 25 papers that have together received 463 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Myasthenia Gravis and Thymoma (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Cancer Cells and Metastasis (2 papers), CAR-T cell therapy research (2 papers), Heat shock proteins research (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (153 citations), Biotechnology (41 citations), Immunology (84 citations), Cancer Research (42 citations) and Molecular Biology (179 citations). Yo-Ting Tsai has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Han‐Shui Hsu, Jeffrey Schlom, Renee N. Donahue, Shih‐Hwa Chiou, Tien‐Wei Hsu, Jiun‐Han Lin, Kelly Su, Shih‐Chieh Hung, Wen‐Chien Huang and James L. Gulley. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, The Oncologist, Journal of Clinical Oncology, Clinical Cancer Research and Blood.

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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