Feng Kong
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 5%
- COVID-19 Impact on Reproduction
Papers in
-
- Epigenetics and DNA Methylation 13
- Renal and related cancers 6
- Pluripotent Stem Cells Research 5
-
- Ferroptosis and cancer prognosis 6
- 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)Zhao‐Min Lin (10 shared papers)
- Journals
- Oncotarget (8 papers)PLoS ONE (4 papers)Frontiers in Immunology (3 papers)International Immunopharmacology (2 papers)Advanced Functional Materials (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Feng Kong
121 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 127
- Cancer Research 325
- Obstetrics and Gynecology 146
- Molecular Biology 1.2k
- Biomaterials 188
- Physiology 293
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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 136 | |
| 2 | 2015 | 112 | |
| 3 | 2017 | 89 | |
| 4 | 2015 | 78 | |
| 5 | 2020 | 69 | |
| 6 | 2022 | 65 | |
| 7 | 2016 | 63 | |
| 8 | 2009 | 61 | |
| 9 | 2015 | 61 | |
| 10 | 2016 | 60 | |
| 11 | 2008 | 59 | |
| 12 | 2014 | 55 | |
| 13 | 2021 | 54 | |
| 14 | 2018 | 52 | |
| 15 | 2018 | 47 | |
| 16 | 2016 | 46 | |
| 17 | 2015 | 43 | |
| 18 | 2010 | 43 | |
| 19 | 2019 | 42 | |
| 20 | 2015 | 42 |
About Feng Kong
Feng Kong is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Physiology, having authored 125 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Telomeres, Telomerase, and Senescence (10 papers), Plant-Microbe Interactions and Immunity (9 papers), Renal and related cancers (6 papers), Ferroptosis and cancer prognosis (6 papers), Bladder and Urothelial Cancer Treatments (5 papers), Pluripotent Stem Cells Research (5 papers) and Pharmacological Effects of Medicinal Plants (5 papers). The work is most often cited by research in Cancer Research (325 citations), Obstetrics and Gynecology (146 citations), Molecular Biology (1.2k citations), Biomaterials (188 citations) and Physiology (293 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, Zhao‐Min Lin, Xiaotian Yuan and Magnus Björkholm. Their work appears in journals such as Oncotarget, PLoS ONE, Frontiers in Immunology, International Immunopharmacology and Advanced Functional Materials.
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.