Feng Kong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Circular RNAs in diseases
Papers in
-
- Epigenetics and DNA Methylation 17
- Renal and related cancers 10
- Pluripotent Stem Cells Research 7
- Oncology 20
- Co-authors
- Yun Luan (25 shared papers)Dawei Xu (23 shared papers)Chao Sun (23 shared papers)Guanghui Cheng (23 shared papers)Mingtan Hai (5 shared papers)Xu Zhang (4 shared papers)Kailin Li (12 shared papers)Magnus Björkholm (12 shared papers)
- Journals
- Oncotarget (8 papers)PLoS ONE (4 papers)Frontiers in Immunology (3 papers)Advanced Functional Materials (2 papers)Asian Journal of Andrology (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Feng Kong
119 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 410
- Molecular Biology 1.4k
- Obstetrics and Gynecology 148
- Biomaterials 190
- Oncology 374
Countries citing papers authored by Feng Kong
This map shows the geographic impact of Feng Kong'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 Feng Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Kong more than expected).
Fields of papers citing papers by Feng Kong
This network shows the impact of papers produced by Feng Kong. 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 Feng Kong. The network helps show where Feng Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Kong, 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 123 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 134 | |
| 2 | 2015 | 105 | |
| 3 | 2017 | 86 | |
| 4 | 2015 | 77 | |
| 5 | 2020 | 65 | |
| 6 | 2016 | 63 | |
| 7 | 2022 | 62 | |
| 8 | 2016 | 60 | |
| 9 | 2015 | 59 | |
| 10 | 2009 | 58 | |
| 11 | 2008 | 54 | |
| 12 | 2014 | 54 | |
| 13 | 2021 | 52 | |
| 14 | 2018 | 51 | |
| 15 | 2018 | 47 | |
| 16 | 2019 | 42 | |
| 17 | 2015 | 42 | |
| 18 | 2017 | 41 | |
| 19 | 2016 | 40 | |
| 20 | 2010 | 39 |
About Feng Kong
Feng Kong is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Surgery and Physiology, having authored 123 papers that have together received 2.7k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (17 papers), Renal and related cancers (10 papers), Telomeres, Telomerase, and Senescence (10 papers), Plant-Microbe Interactions and Immunity (8 papers), Ferroptosis and cancer prognosis (7 papers), Pluripotent Stem Cells Research (7 papers), Mesenchymal stem cell research (5 papers) and Tissue Engineering and Regenerative Medicine (5 papers). The work is most often cited by research in Cancer Research (410 citations), Molecular Biology (1.4k citations), Obstetrics and Gynecology (148 citations), Biomaterials (190 citations) and Oncology (374 citations). Feng Kong has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yun Luan, Dawei Xu, Chao Sun, Guanghui Cheng, Mingtan Hai, Xu Zhang, Kailin Li, Magnus Björkholm, Zhao‐Min Lin and Xiaotian Yuan. Their work appears in journals such as Oncotarget, PLoS ONE, Frontiers in Immunology, Advanced Functional Materials and Asian Journal of Andrology.
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.