Tong Da

1.9k citations
21 papers · 1.4k · 2 hit papers · h-index 13

Impact in

  • Oncology top 2%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers
  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

Tong Da

21 papers receiving 1.4k citations

Tong Da's Hit Papers

Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells 2023 · 119 citations
1190+2+5Years since publication100200300400

Peers

Tong Da
Comparison fields: 5 of 82
  • Oncology 1.1k
  • Immunology 351
  • Genetics 410
  • Emergency Medicine 61
  • Biomedical Engineering 318
Replace William Reid with:
William Reid United States
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Alice A. Tomei United States
Mattéo Riva Belgium
Chibawanye Ene United States
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Tong Da relative to William Reid United States William Reid's profile →
Citations per field
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William Reid · 1×
Citations per year

Countries citing papers authored by Tong Da

Since Specialization
Citations

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

Fields of papers citing papers by Tong Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Enhancing CAR T cell persistence through ICOS and 4-1BB costimulation
Hit paper breakdown →
2018449
2 2018225
3 2018214
4
Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells
Hit paper breakdown →
2023119
5 2004110
6 202076
7 200866
8 202347
9 202334
10 201828
11 201023
12 202416
13 201912
14 20166
15 20105
16 20133
17
Sinomenine alone or combined with chloroquine and tripterygium wilfordii glycoside in treating rheumatoid arthritis
19992
18 20222
19
Weaning Patients From Mechanical Ventilation: A Knowledge-Based System Approach.
19901
20 20121

About Tong Da

Tong Da is a scholar working on Oncology, Molecular Biology, Genetics, Mechanics of Materials and Immunology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (10 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Virus-based gene therapy research (3 papers), Silicon Carbide Semiconductor Technologies (2 papers), Metal and Thin Film Mechanics (2 papers), Respiratory Support and Mechanisms (2 papers), T-cell and B-cell Immunology (2 papers) and Corrosion Behavior and Inhibition (2 papers). The work is most often cited by research in Oncology (1.1k citations), Immunology (351 citations), Genetics (410 citations), Emergency Medicine (61 citations) and Biomedical Engineering (318 citations). Tong Da has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Carl H. June, Regina M. Young, Sònia Guedan, John Scholler, A.S. Verkman, Avery D. Posey, Carolyn E. Shaw, Anna Wing, Brian Keith and Decheng Song. Their work appears in journals such as JCI Insight, Intensive Care Medicine Experimental, Cancer Research, Experimental Neurology and Proceedings of the National Academy of Sciences.

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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