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
Papers in
-
- RNA modifications and cancer 3
- RNA Interference and Gene Delivery 1
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Zhaowu Ma (11 shared papers)Hong-Wu Xin (10 shared papers)Yingying Wang (9 shared papers)Ying Xiang (9 shared papers)Xianwang Wang (10 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 867 citations
Jun-Ting Cheng's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 197
- Immunology 263
- Oncology 321
- Molecular Biology 412
- Radiology, Nuclear Medicine and Imaging 82
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 | 342 |
| 2 | 2019 | 157 | |
| 3 | 2020 | 136 | |
| 4 | 2020 | 79 | |
| 5 | 2021 | 42 | |
| 6 | 2020 | 32 | |
| 7 | Bispecific T cell engagers and their synergistic tumor immunotherapy with oncolytic viruses. | 2021 | 24 |
| 8 | 2018 | 24 | |
| 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 Molecular Biology, Genetics, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 885 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Herpesvirus Infections and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA modifications and cancer (3 papers), CAR-T cell therapy research (2 papers), Vector-Borne Animal Diseases (1 paper), RNA Interference and Gene Delivery (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Cancer Research (197 citations), Immunology (263 citations), Oncology (321 citations), Molecular Biology (412 citations) and Radiology, Nuclear Medicine and Imaging (82 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, Ying Xiang, Xianwang Wang, Xiaochun Peng, Shuzhong Cui, Wen-Qi Cai, Lingzhi Wang and Gautam Sethi. Their work appears in journals such as Journal of Cancer, Frontiers in Oncology, Frontiers in Pharmacology, Drug Delivery and Journal of Hematology & Oncology.
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.