Kejun Nan
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Epigenetics and DNA Methylation 4
- Genomics, phytochemicals, and oxidative stress 4
- RNA modifications and cancer 3
- Oncology 18
- Cancer-related Molecular Pathways 5
- Co-authors
- Xuan Liang (13 shared papers)Yongchang Wei (8 shared papers)Tao Tian (11 shared papers)Lili Jiang (7 shared papers)Fuling Zhou (6 shared papers)Hui Guo (3 shared papers)Zhiping Ruan (7 shared papers)Tianli Fan (1 shared paper)
- Journals
- Oncology Reports (2 papers)Cell Cycle (2 papers)Journal of Clinical Oncology (2 papers)BMC Gastroenterology (2 papers)Journal of Thoracic Oncology (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Kejun Nan
37 papers receiving 826 citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 56
- Cancer Research 192
- Behavioral Neuroscience 36
- Oncology 273
- Molecular Biology 438
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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 82 | |
| 2 | 2010 | 69 | |
| 3 | 2012 | 65 | |
| 4 | 2009 | 49 | |
| 5 | 2016 | 46 | |
| 6 | 2016 | 44 | |
| 7 | 2008 | 41 | |
| 8 | 2015 | 41 | |
| 9 | 2018 | 39 | |
| 10 | 2017 | 36 | |
| 11 | 2014 | 36 | |
| 12 | 2019 | 34 | |
| 13 | 2016 | 31 | |
| 14 | 2009 | 24 | |
| 15 | 2004 | 24 | |
| 16 | 2014 | 21 | |
| 17 | 2015 | 20 | |
| 18 | 2014 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2012 | 12 |
About Kejun Nan
Kejun Nan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Epidemiology, having authored 37 papers that have together received 833 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Cancer-related Molecular Pathways (5 papers), Lung Cancer Treatments and Mutations (5 papers), Tryptophan and brain disorders (4 papers), Epigenetics and DNA Methylation (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Genetic factors in colorectal cancer (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biological Psychiatry (56 citations), Cancer Research (192 citations), Behavioral Neuroscience (36 citations), Oncology (273 citations) and Molecular Biology (438 citations). Kejun Nan has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xuan Liang, Yongchang Wei, Tao Tian, Lili Jiang, Fuling Zhou, Hui Guo, Zhiping Ruan, Tianli Fan, Shanyong Yi and Mengjie Liu. Their work appears in journals such as Oncology Reports, Cell Cycle, Journal of Clinical Oncology, BMC Gastroenterology and Journal of Thoracic 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.