Chenchen Feng
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Circular RNAs in diseases
Papers in
-
- Bioinformatics and Genomic Networks 17
- Genomics and Chromatin Dynamics 12
- RNA modifications and cancer 11
- RNA Research and Splicing 10
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- Cancer-related molecular mechanisms research 11
- Co-authors
- Qiang Ding (31 shared papers)Haowen Jiang (25 shared papers)Guanxiong Ding (20 shared papers)Hui Wen (18 shared papers)Zhong Wu (20 shared papers)Chunquan Li (28 shared papers)Qiuyu Wang (18 shared papers)Fengcui Qian (12 shared papers)
- Journals
- Nucleic Acids Research (12 papers)Scientific Reports (7 papers)Oncotarget (4 papers)PLoS ONE (4 papers)Tumor Biology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chenchen Feng
139 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 134
- Cancer Research 573
- Molecular Biology 1.3k
- Urology 86
- Endocrinology 60
- Genetics 117
Countries citing papers authored by Chenchen Feng
This map shows the geographic impact of Chenchen Feng'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 Chenchen Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenchen Feng more than expected).
Fields of papers citing papers by Chenchen Feng
This network shows the impact of papers produced by Chenchen Feng. 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 Chenchen Feng. The network helps show where Chenchen Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenchen Feng, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 108 | |
| 2 | 2019 | 84 | |
| 3 | 2020 | 79 | |
| 4 | 2017 | 59 | |
| 5 | 2018 | 58 | |
| 6 | 2011 | 55 | |
| 7 | 2022 | 53 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 45 | |
| 10 | 2011 | 44 | |
| 11 | 2015 | 43 | |
| 12 | 2022 | 42 | |
| 13 | 2015 | 40 | |
| 14 | 2020 | 35 | |
| 15 | 2024 | 34 | |
| 16 | 2021 | 34 | |
| 17 | 2023 | 33 | |
| 18 | 2013 | 32 | |
| 19 | 2020 | 32 | |
| 20 | 2019 | 30 |
About Chenchen Feng
Chenchen Feng is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 144 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (17 papers), Renal cell carcinoma treatment (16 papers), Bladder and Urothelial Cancer Treatments (14 papers), Ferroptosis and cancer prognosis (13 papers), Genomics and Chromatin Dynamics (12 papers), RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (11 papers) and RNA Research and Splicing (10 papers). The work is most often cited by research in Cancer Research (573 citations), Molecular Biology (1.3k citations), Urology (86 citations), Endocrinology (60 citations) and Genetics (117 citations). Chenchen Feng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiang Ding, Haowen Jiang, Guanxiong Ding, Hui Wen, Zhong Wu, Chunquan Li, Qiuyu Wang, Fengcui Qian, Yanyu Li and Yong Jiang. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, Oncotarget, PLoS ONE and Tumor Biology.
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.