Kun Ji
Impact in
- Biotechnology top 5%
- Cancer Research and Treatments
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
Papers in
-
- RNA Interference and Gene Delivery 3
- Histone Deacetylase Inhibitors Research 2
-
- Cancer Research and Treatments 7
- Co-authors
- Kun Xuan (3 shared papers)De-Qi Xu (6 shared papers)Xuejian Zhao (7 shared papers)Dennis J. Kopecko (5 shared papers)Jiadi Hu (5 shared papers)Xi Wang (2 shared papers)Dhananjaya V. Kalvakolanu (4 shared papers)Lifang Gao (4 shared papers)
- Journals
- Medicine (3 papers)Archives of Oral Biology (2 papers)Current Stem Cell Research & Therapy (2 papers)Academic Radiology (2 papers)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Ji
35 papers receiving 780 citations
Peers
Comparison fields: 5 of 84
- Biotechnology 178
- Genetics 147
- Urology 77
- Cancer Research 74
- Oncology 123
Countries citing papers authored by Kun Ji
This map shows the geographic impact of Kun Ji'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 Kun Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ji more than expected).
Fields of papers citing papers by Kun Ji
This network shows the impact of papers produced by Kun Ji. 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 Kun Ji. The network helps show where Kun Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ji, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 156 | |
| 2 | 2007 | 118 | |
| 3 | 2008 | 71 | |
| 4 | 2012 | 46 | |
| 5 | 2016 | 44 | |
| 6 | 2017 | 38 | |
| 7 | 2011 | 34 | |
| 8 | 2012 | 33 | |
| 9 | 2010 | 24 | |
| 10 | 2013 | 23 | |
| 11 | 2012 | 22 | |
| 12 | 2013 | 22 | |
| 13 | 2020 | 18 | |
| 14 | 2016 | 16 | |
| 15 | 2011 | 16 | |
| 16 | 2020 | 14 | |
| 17 | 2009 | 14 | |
| 18 | Small interfering RNA survivin and GRIM-19 co-expression salmonella plasmid inhibited the growth of laryngeal cancer cells in vitro and in vivo. | 2013 | 11 |
| 19 | 2021 | 9 | |
| 20 | 2021 | 8 |
About Kun Ji
Kun Ji is a scholar working on Molecular Biology, Biotechnology, Oncology, Genetics and Genetics, having authored 38 papers that have together received 789 indexed citations. Recurring topics across this work include Cancer Research and Treatments (7 papers), Mesenchymal stem cell research (5 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Biotechnology (178 citations), Genetics (147 citations), Urology (77 citations), Cancer Research (74 citations) and Oncology (123 citations). Kun Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Kun Xuan, De-Qi Xu, Xuejian Zhao, Dennis J. Kopecko, Jiadi Hu, Xi Wang, Dhananjaya V. Kalvakolanu, Lifang Gao, Guanghui Li and Lei Chen. Their work appears in journals such as Medicine, Archives of Oral Biology, Current Stem Cell Research & Therapy, Academic Radiology and Cancer Letters.
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.