Kejun Nan
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 4
- Cell death mechanisms and regulation 4
- Circular RNAs in diseases 4
- Oncology 21
- Lung Cancer Research Studies 6
- Cancer-related Molecular Pathways 5
- Co-authors
- Tao Tian (15 shared papers)Hui Guo (16 shared papers)Zhiping Ruan (13 shared papers)Dang‐xia Zhou (1 shared paper)Mo‐qi Lv (1 shared paper)Qiuping Liu (1 shared paper)Shuhong Zhao (1 shared paper)Xuan Liang (7 shared papers)
- Journals
- Oncotarget (3 papers)Medicine (3 papers)Cancer Management and Research (3 papers)Journal of Clinical Oncology (3 papers)World Journal of Gastroenterology (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kejun Nan
60 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 87
- Cancer Research 645
- Hepatology 135
- Oncology 367
- Molecular Biology 922
- Cell Biology 110
Countries citing papers authored by Kejun Nan
This map shows the geographic impact of Kejun Nan'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 Kejun Nan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejun Nan more than expected).
Fields of papers citing papers by Kejun Nan
This network shows the impact of papers produced by Kejun Nan. 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 Kejun Nan. The network helps show where Kejun Nan may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejun Nan, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 218 | |
| 2 | 2017 | 138 | |
| 3 | 2015 | 75 | |
| 4 | 2017 | 58 | |
| 5 | 2017 | 51 | |
| 6 | 2016 | 50 | |
| 7 | 2014 | 50 | |
| 8 | 2018 | 48 | |
| 9 | 2013 | 46 | |
| 10 | 2017 | 46 | |
| 11 | 2013 | 44 | |
| 12 | 2018 | 40 | |
| 13 | 2012 | 39 | |
| 14 | 2016 | 37 | |
| 15 | 2017 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2011 | 35 | |
| 18 | 2017 | 34 | |
| 19 | 2015 | 31 | |
| 20 | 2017 | 28 |
About Kejun Nan
Kejun Nan is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Epidemiology, having authored 60 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (10 papers), Lung Cancer Research Studies (6 papers), Cancer-related Molecular Pathways (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cell death mechanisms and regulation (4 papers) and Circular RNAs in diseases (4 papers). The work is most often cited by research in Cancer Research (645 citations), Hepatology (135 citations), Oncology (367 citations), Molecular Biology (922 citations) and Cell Biology (110 citations). Kejun Nan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Tao Tian, Hui Guo, Zhiping Ruan, Dang‐xia Zhou, Mo‐qi Lv, Qiuping Liu, Shuhong Zhao, Xuan Liang, Lili Jiang and Mincong Wang. Their work appears in journals such as Oncotarget, Medicine, Cancer Management and Research, Journal of Clinical Oncology and World Journal of Gastroenterology.
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.