Fengling Chen
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Circular RNAs in diseases
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
Papers in
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- Circular RNAs in diseases 4
- Ubiquitin and proteasome pathways 3
- RNA Research and Splicing 2
- Cancer-related gene regulation 1
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- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 5
- Co-authors
- Huifang Liu (7 shared papers)Ziming Mao (5 shared papers)Xingpeng Wang (1 shared paper)Jianbo Ni (1 shared paper)Xing Rong (1 shared paper)Jing Zhu (4 shared papers)Kezhou Wang (1 shared paper)Jie Xiong (1 shared paper)
- Journals
- Scientific Reports (1 paper)Cellular Signalling (1 paper)Cancer Medicine (1 paper)Cancer Cell International (1 paper)Oncotarget (1 paper)
- Partner nations
- China
In The Last Decade
Fengling Chen
14 papers receiving 361 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 109
- Molecular Biology 184
- Reproductive Medicine 19
- Immunology 48
- Biochemistry 13
Countries citing papers authored by Fengling Chen
This map shows the geographic impact of Fengling Chen'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 Fengling Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengling Chen more than expected).
Fields of papers citing papers by Fengling Chen
This network shows the impact of papers produced by Fengling Chen. 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 Fengling Chen. The network helps show where Fengling Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengling Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2020 | 42 | |
| 3 | 2017 | 38 | |
| 4 | 2012 | 34 | |
| 5 | 2020 | 31 | |
| 6 | 2020 | 23 | |
| 7 | 2022 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2020 | 18 | |
| 10 | Tuft1 promotes thyroid carcinoma cell invasion and proliferation and suppresses apoptosis through the Akt-mTOR/GSK3β signaling pathway. | 2018 | 12 |
| 11 | 2020 | 8 | |
| 12 | 2020 | 6 | |
| 13 | 2016 | 5 | |
| 14 | [Evaluation of C-reactive protein levels in serum and gingival crevicular fluid in type 2 diabetes patients with periodontitis]. | 2009 | 3 |
About Fengling Chen
Fengling Chen is a scholar working on Molecular Biology, Cancer Research, Immunology, Surgery and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 365 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), Ubiquitin and proteasome pathways (3 papers), Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers), Cancer-related gene regulation (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Cancer Research (109 citations), Molecular Biology (184 citations), Reproductive Medicine (19 citations), Immunology (48 citations) and Biochemistry (13 citations). Fengling Chen has collaborated with scholars based in China. Frequent co-authors include Huifang Liu, Ziming Mao, Xingpeng Wang, Jianbo Ni, Xing Rong, Jing Zhu, Kezhou Wang, Jie Xiong, Guoyong Hu and Dan Wang. Their work appears in journals such as Scientific Reports, Cellular Signalling, Cancer Medicine, Cancer Cell International and Oncotarget.
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.