Tong Da
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
- Oncology 11
- CAR-T cell therapy research 10
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Co-authors
- Carl H. June (10 shared papers)Regina M. Young (9 shared papers)Sònia Guedan (3 shared papers)John Scholler (6 shared papers)A.S. Verkman (1 shared paper)Avery D. Posey (3 shared papers)Anna Wing (2 shared papers)Carolyn E. Shaw (2 shared papers)
- Journals
- JCI Insight (3 papers)BioResources (2 papers)Experimental Neurology (1 paper)Intensive Care Medicine Experimental (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaPoland
In The Last Decade
Tong Da
24 papers receiving 1.4k citations
Tong Da's Hit Papers
Peers
Comparison fields: 5 of 87
- Oncology 1.0k
- Immunology 371
- Genetics 416
- Biomedical Engineering 344
- Emergency Medicine 76
Countries citing papers authored by Tong Da
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
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.
All Works
Showing the 20 most-cited of 25 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 → | 2018 | 430 |
| 2 | 2018 | 215 | |
| 3 | 2018 | 204 | |
| 4 | 2004 | 107 | |
| 5 | Deletion of the inhibitory co-receptor CTLA-4 enhances and invigorates chimeric antigen receptor T cells Hit paper breakdown → | 2023 | 104 |
| 6 | 2020 | 72 | |
| 7 | 2008 | 64 | |
| 8 | 2023 | 44 | |
| 9 | 2018 | 28 | |
| 10 | 2023 | 27 | |
| 11 | 2010 | 23 | |
| 12 | 2024 | 13 | |
| 13 | 2019 | 11 | |
| 14 | 2014 | 7 | |
| 15 | 2016 | 5 | |
| 16 | 2010 | 5 | |
| 17 | 2013 | 4 | |
| 18 | Sinomenine alone or combined with chloroquine and tripterygium wilfordii glycoside in treating rheumatoid arthritis | 1999 | 2 |
| 19 | 2022 | 2 | |
| 20 | 2013 | 2 |
About Tong Da
Tong Da is a scholar working on Oncology, Molecular Biology, Genetics, Biomedical Engineering and Mechanics of Materials, having authored 25 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), Cardiac Arrest and Resuscitation (3 papers), Metal and Thin Film Mechanics (2 papers), Respiratory Support and Mechanisms (2 papers), Corrosion Behavior and Inhibition (2 papers) and Erosion and Abrasive Machining (2 papers). The work is most often cited by research in Oncology (1.0k citations), Immunology (371 citations), Genetics (416 citations), Biomedical Engineering (344 citations) and Emergency Medicine (76 citations). Tong Da has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Carl H. June, Regina M. Young, Sònia Guedan, John Scholler, A.S. Verkman, Avery D. Posey, Anna Wing, Carolyn E. Shaw, Brian Keith and Decheng Song. Their work appears in journals such as JCI Insight, BioResources, Experimental Neurology, Intensive Care Medicine Experimental 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.