Cho-Lea Tso

2.1k citations
33 papers · 1.7k · h-index 22

Impact in

Papers in

    • CAR-T cell therapy research 6
    • Cancer Immunotherapy and Biomarkers 6
    • Immunotherapy and Immune Responses 6
    • Immune Cell Function and Interaction 4

Cho-Lea Tso

33 papers receiving 1.7k citations

Peers

Cho-Lea Tso
Comparison fields: 5 of 90
  • Genetics 354
  • Cancer Research 333
  • Oncology 517
  • Immunology 333
  • Pulmonary and Respiratory Medicine 319
Replace Paula Yeng Po Lam with:
Paula Yeng Po Lam Singapore
Awad Jarrar United States
Huai Lin United States
Jana Karásková Canada
Sana Yokoi Japan
Daniela Marubbi Italy
Xiaobing He United States
Pinaki Bose Canada
Pasqualino De Antonellis Italy
Janna Paulsson Sweden
Cho-Lea Tso relative to Paula Yeng Po Lam Singapore Paula Yeng Po Lam's profile →
Citations per field
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Paula Yeng Po Lam · 1×
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 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006198
2 2006165
3 2009104
4 1992103
5 2007101
6 199596
7 200191
8 199682
9 200377
10 200373
11 199671
12 200460
13 201557
14 199355
15 201354
16 200053
17
Novel kidney cancer immunotherapy based on the granulocyte-macrophage colony-stimulating factor and carbonic anhydrase IX fusion gene.
200343
18 201533
19 201132
20 199430

About Cho-Lea Tso

Cho-Lea Tso is a scholar working on Oncology, Immunology, Genetics, Cancer Research and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 1.7k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), CAR-T cell therapy research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Immunotherapy and Immune Responses (6 papers), Glioma Diagnosis and Treatment (5 papers), Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Genetics (354 citations), Cancer Research (333 citations), Oncology (517 citations), Immunology (333 citations) and Pulmonary and Respiratory Medicine (319 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 Francis Cloughesy, Robert A. Figlin, Paul S. Mischel, Randhir Kaboo, Allan J. Pantuck, Stanley F. Nelson and Zugen Chen. Their work appears in journals such as The Journal of Urology, Journal of Immunotherapy, Cancer, Human Gene Therapy and Molecular Cancer Research.

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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