Jun-Ting Cheng
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Immunology top 10%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
- Genetics 6
- Virus-based gene therapy research 6
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- RNA modifications and cancer 3
- Kruppel-like factors research 1
- Co-authors
- Zhaowu Ma (11 shared papers)Hong-Wu Xin (11 shared papers)Yingying Wang (9 shared papers)Xianwang Wang (10 shared papers)Ying Xiang (9 shared papers)Xiaochun Peng (10 shared papers)Shuzhong Cui (8 shared papers)Wen-Qi Cai (9 shared papers)
In The Last Decade
Jun-Ting Cheng
14 papers receiving 836 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Cancer Research 210
- Immunology 270
- Oncology 345
- Molecular Biology 443
- Biotechnology 31
Countries citing papers authored by Jun-Ting Cheng
This map shows the geographic impact of Jun-Ting Cheng'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 Jun-Ting Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Ting Cheng more than expected).
Fields of papers citing papers by Jun-Ting Cheng
This network shows the impact of papers produced by Jun-Ting Cheng. 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 Jun-Ting Cheng. The network helps show where Jun-Ting Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Ting Cheng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dendritic cell biology and its role in tumor immunotherapy Hit paper breakdown → | 2020 | 327 |
| 2 | 2019 | 155 | |
| 3 | 2020 | 127 | |
| 4 | 2020 | 78 | |
| 5 | 2021 | 38 | |
| 6 | 2020 | 32 | |
| 7 | 2018 | 23 | |
| 8 | Bispecific T cell engagers and their synergistic tumor immunotherapy with oncolytic viruses. | 2021 | 23 |
| 9 | 2019 | 15 | |
| 10 | 2020 | 11 | |
| 11 | 2005 | 10 | |
| 12 | 2020 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 1 |
About Jun-Ting Cheng
Jun-Ting Cheng is a scholar working on Genetics, Molecular Biology, Epidemiology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 852 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Herpesvirus Infections and Treatments (5 papers), RNA modifications and cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (2 papers), Vector-Borne Animal Diseases (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Cancer Research (210 citations), Immunology (270 citations), Oncology (345 citations), Molecular Biology (443 citations) and Biotechnology (31 citations). Jun-Ting Cheng has collaborated with scholars based in China, Singapore and Germany. Frequent co-authors include Zhaowu Ma, Hong-Wu Xin, Yingying Wang, Xianwang Wang, Ying Xiang, Xiaochun Peng, Shuzhong Cui, Wen-Qi Cai, Lingzhi Wang and Gautam Sethi. Their work appears in journals such as Frontiers in Oncology, Journal of Cancer, Investigational New Drugs, Drug Delivery and Virology Journal.
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.