Cho-Lea Tso

1.9k citations
30 papers · 1.5k · h-index 21

Impact in

Papers in

    • CAR-T cell therapy research 7
    • Cancer Cells and Metastasis 5
    • Cancer Immunotherapy and Biomarkers 5

Cho-Lea Tso

30 papers receiving 1.5k citations

Peers

Cho-Lea Tso
Comparison fields: 5 of 88
  • Genetics 363
  • Cancer Research 339
  • Oncology 531
  • Immunology 343
  • Molecular Biology 776
Replace Hong Xin with:
Hong Xin United States
Daniela Marubbi Italy
Catherine Richon France
Dirk Kemming Germany
Jana Karásková Canada
Huai Lin United States
Rachel A. Altura United States
Steven N. Quayle United States
Kristin J. Hope Canada
Annie S.Y. Chan Hong Kong
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Cho-Lea Tso

Since Specialization
Citations

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

Fields of papers citing papers by Cho-Lea Tso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cho-Lea Tso. 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 Cho-Lea Tso. The network helps show where Cho-Lea Tso may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006184
2 2006152
3 2009100
4 200796
5 199294
6 199591
7 200183
8 199679
9 200373
10 199670
11 200457
12 201553
13 199351
14 201350
15 200050
16
Novel kidney cancer immunotherapy based on the granulocyte-macrophage colony-stimulating factor and carbonic anhydrase IX fusion gene.
200341
17 201531
18 201130
19 199426
20 199621

About Cho-Lea Tso

Cho-Lea Tso is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Genetics, having authored 30 papers that have together received 1.5k indexed citations. Recurring topics across this work include CAR-T cell therapy research (7 papers), Prostate Cancer Treatment and Research (7 papers), Immunotherapy and Immune Responses (7 papers), Glioma Diagnosis and Treatment (6 papers), Cancer Cells and Metastasis (5 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Genetics (363 citations), Cancer Research (339 citations), Oncology (531 citations), Immunology (343 citations) and Molecular Biology (776 citations). Cho-Lea Tso has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Arie S. Belldegrun, Jean B. deKernion, Linda M. Liau, Timothy F. Cloughesy, Robert A. Figlin, Paul S. Mischel, Randhir Kaboo, Stanley F. Nelson, Zugen Chen and Koji Yoshimoto. Their work appears in journals such as The Journal of Urology, Journal of Immunotherapy, Human Gene Therapy, Molecular Cancer Research and Cancer.

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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