Ke Jiang
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 5
- Cell Biology 12
- Hippo pathway signaling and YAP/TAZ 6
- Co-authors
- Songshu Meng (23 shared papers)Jianjun Wang (8 shared papers)Guanghai Yang (2 shared papers)Jiguang Zhang (1 shared paper)Feng Zhao (1 shared paper)Quan Liu (1 shared paper)Chan Ding (8 shared papers)Gui-Rong Zhang (7 shared papers)
- Journals
- BMC Cancer (3 papers)Cancer Letters (3 papers)Oncotarget (3 papers)Theranostics (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Ke Jiang
80 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 686
- Molecular Biology 1.3k
- Oncology 480
- Immunology 338
- Epidemiology 386
Countries citing papers authored by Ke Jiang
This map shows the geographic impact of Ke Jiang'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 Ke Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Jiang more than expected).
Fields of papers citing papers by Ke Jiang
This network shows the impact of papers produced by Ke Jiang. 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 Ke Jiang. The network helps show where Ke Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke Jiang, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 492 | |
| 2 | 2020 | 208 | |
| 3 | 2016 | 105 | |
| 4 | 2016 | 99 | |
| 5 | 2021 | 97 | |
| 6 | 2015 | 91 | |
| 7 | 2012 | 82 | |
| 8 | Oncolytic Newcastle disease virus induces autophagy-dependent immunogenic cell death in lung cancer cells. | 2018 | 68 |
| 9 | 2020 | 62 | |
| 10 | 2020 | 58 | |
| 11 | 2021 | 52 | |
| 12 | 2015 | 51 | |
| 13 | 2019 | 51 | |
| 14 | 2017 | 49 | |
| 15 | 2021 | 48 | |
| 16 | 2014 | 47 | |
| 17 | 2019 | 47 | |
| 18 | 2012 | 46 | |
| 19 | 2016 | 46 | |
| 20 | 2018 | 43 |
About Ke Jiang
Ke Jiang is a scholar working on Cancer Research, Cell Biology, Oncology, Molecular Biology and Immunology, having authored 85 papers that have together received 2.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (12 papers), Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (6 papers), Hippo pathway signaling and YAP/TAZ (6 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (5 papers), CAR-T cell therapy research (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (686 citations), Molecular Biology (1.3k citations), Oncology (480 citations), Immunology (338 citations) and Epidemiology (386 citations). Ke Jiang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Songshu Meng, Jianjun Wang, Guanghai Yang, Jiguang Zhang, Feng Zhao, Quan Liu, Chan Ding, Gui-Rong Zhang, Peng Gong and Martin P. Barr. Their work appears in journals such as BMC Cancer, Cancer Letters, Oncotarget, Theranostics and Frontiers in 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.