Ke Jiang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
Papers in
-
- RNA Interference and Gene Delivery 6
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 4
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Songshu Meng (24 shared papers)Jianjun Wang (8 shared papers)Feng Zhao (1 shared paper)Quan Liu (1 shared paper)Jiguang Zhang (1 shared paper)Guanghai Yang (2 shared papers)Chan Ding (8 shared papers)Guirong Zhang (7 shared papers)
- Journals
- Oncotarget (3 papers)Theranostics (3 papers)Cancer Letters (3 papers)Archives of Virology (3 papers)BMC Cancer (3 papers)
- Partner nations
- ChinaUnited StatesIreland
In The Last Decade
Ke Jiang
76 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 115
- Cancer Research 666
- Molecular Biology 1.3k
- Oncology 457
- Immunology 325
- Epidemiology 374
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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 483 | |
| 2 | 2020 | 195 | |
| 3 | 2016 | 101 | |
| 4 | 2016 | 99 | |
| 5 | 2021 | 87 | |
| 6 | 2015 | 87 | |
| 7 | 2012 | 78 | |
| 8 | Oncolytic Newcastle disease virus induces autophagy-dependent immunogenic cell death in lung cancer cells. | 2018 | 65 |
| 9 | 2020 | 59 | |
| 10 | 2020 | 55 | |
| 11 | 2019 | 51 | |
| 12 | 2015 | 50 | |
| 13 | 2021 | 49 | |
| 14 | 2019 | 47 | |
| 15 | 2021 | 46 | |
| 16 | 2017 | 46 | |
| 17 | 2014 | 46 | |
| 18 | 2012 | 44 | |
| 19 | 2016 | 43 | |
| 20 | 2011 | 41 |
About Ke Jiang
Ke Jiang is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Cell Biology, having authored 82 papers that have together received 2.6k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (12 papers), Virus-based gene therapy research (10 papers), Hippo pathway signaling and YAP/TAZ (7 papers), RNA Interference and Gene Delivery (6 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Ubiquitin and proteasome pathways (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (666 citations), Molecular Biology (1.3k citations), Oncology (457 citations), Immunology (325 citations) and Epidemiology (374 citations). Ke Jiang has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Songshu Meng, Jianjun Wang, Feng Zhao, Quan Liu, Jiguang Zhang, Guanghai Yang, Chan Ding, Guirong Zhang, Peng Gong and Martin P. Barr. Their work appears in journals such as Oncotarget, Theranostics, Cancer Letters, Archives of Virology and BMC Cancer.
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.