Kejun Nan
Impact in
- Biological Psychiatry top 10%
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 4
- Genomics, phytochemicals, and oxidative stress 3
- PI3K/AKT/mTOR signaling in cancer 3
- Oncology 12
- Cancer-related Molecular Pathways 4
- Cancer Cells and Metastasis 2
- Co-authors
- Xuan Liang (13 shared papers)Yongchang Wei (8 shared papers)Tao Tian (11 shared papers)Fuling Zhou (6 shared papers)Lili Jiang (7 shared papers)Hui Guo (3 shared papers)Zhiping Ruan (7 shared papers)Shanyong Yi (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)BMC Gastroenterology (2 papers)Oncology Reports (2 papers)Carcinogenesis (1 paper)Hepatology (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Kejun Nan
36 papers receiving 812 citations
Peers
Comparison fields: 5 of 94
- Biological Psychiatry 40
- Cancer Research 162
- Oncology 226
- Behavioral Neuroscience 23
- Molecular Biology 359
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 85 | |
| 2 | 2010 | 69 | |
| 3 | 2012 | 65 | |
| 4 | 2009 | 50 | |
| 5 | 2016 | 46 | |
| 6 | 2016 | 44 | |
| 7 | 2015 | 41 | |
| 8 | 2008 | 41 | |
| 9 | 2018 | 40 | |
| 10 | 2014 | 36 | |
| 11 | 2017 | 36 | |
| 12 | 2019 | 35 | |
| 13 | 2016 | 32 | |
| 14 | 2004 | 24 | |
| 15 | 2015 | 23 | |
| 16 | 2014 | 21 | |
| 17 | 2014 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2012 | 12 | |
| 20 | 2014 | 12 |
About Kejun Nan
Kejun Nan is a scholar working on Molecular Biology, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 36 papers that have together received 819 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Cancer-related Molecular Pathways (4 papers), Epigenetics and DNA Methylation (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), Lung Cancer Treatments and Mutations (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Quinazolinone synthesis and applications (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Cancer Research (162 citations), Oncology (226 citations), Behavioral Neuroscience (23 citations) and Molecular Biology (359 citations). Kejun Nan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xuan Liang, Yongchang Wei, Tao Tian, Fuling Zhou, Lili Jiang, Hui Guo, Zhiping Ruan, Shanyong Yi, Tianli Fan and Mengjie Liu. Their work appears in journals such as Journal of Clinical Oncology, BMC Gastroenterology, Oncology Reports, Carcinogenesis and Hepatology.
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.