Qi Tang
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
- Immunology top 10%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- RNA modifications and cancer 5
- Oncology 43
- CAR-T cell therapy research 13
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Jin Zhu (27 shared papers)Zhenqing Feng (15 shared papers)Lizhou Jia (16 shared papers)Xi Ma (1 shared paper)Peng Tan (1 shared paper)Ning Ma (1 shared paper)Jiaojiao Guo (4 shared papers)Liqun Zhou (20 shared papers)
- Journals
- Frontiers in Oncology (7 papers)Journal of Clinical Oncology (3 papers)Journal of Endourology (3 papers)Scientific Reports (3 papers)Urology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Qi Tang
168 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 136
- Oncology 716
- Immunology 361
- Cancer Research 245
- Hepatology 95
- Molecular Biology 741
Countries citing papers authored by Qi Tang
This map shows the geographic impact of Qi Tang'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 Qi Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Tang more than expected).
Fields of papers citing papers by Qi Tang
This network shows the impact of papers produced by Qi Tang. 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 Qi Tang. The network helps show where Qi Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Tang, 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 184 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 125 | |
| 2 | 2013 | 112 | |
| 3 | 2007 | 96 | |
| 4 | 2018 | 89 | |
| 5 | 2014 | 78 | |
| 6 | The killing effect of novel bi-specific Trop2/PD-L1 CAR-T cell targeted gastric cancer. | 2019 | 78 |
| 7 | 2011 | 75 | |
| 8 | 2020 | 71 | |
| 9 | Nicotinamide N-methyltransferase: a potential biomarker for worse prognosis in gastric carcinoma. | 2016 | 57 |
| 10 | 2021 | 54 | |
| 11 | 2019 | 48 | |
| 12 | 2020 | 48 | |
| 13 | 2011 | 41 | |
| 14 | 2021 | 41 | |
| 15 | 2008 | 40 | |
| 16 | 2023 | 39 | |
| 17 | 2023 | 37 | |
| 18 | 2023 | 37 | |
| 19 | 2015 | 32 | |
| 20 | 2014 | 32 |
About Qi Tang
Qi Tang is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Immunology, having authored 184 papers that have together received 2.6k indexed citations. Recurring topics across this work include CAR-T cell therapy research (13 papers), Renal cell carcinoma treatment (10 papers), Bladder and Urothelial Cancer Treatments (9 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (6 papers), Cancer-related molecular mechanisms research (6 papers), Cancer Immunotherapy and Biomarkers (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Oncology (716 citations), Immunology (361 citations), Cancer Research (245 citations), Hepatology (95 citations) and Molecular Biology (741 citations). Qi Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jin Zhu, Zhenqing Feng, Lizhou Jia, Xi Ma, Peng Tan, Ning Ma, Jiaojiao Guo, Liqun Zhou, Xuesong Li and Zhenqing Feng. Their work appears in journals such as Frontiers in Oncology, Journal of Clinical Oncology, Journal of Endourology, Scientific Reports and Urology.
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.