Feng Li

10.1k total citations · 3 hit papers
233 papers, 7.5k citations indexed

About

Feng Li is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Feng Li has authored 233 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Molecular Biology, 61 papers in Cancer Research and 51 papers in Oncology. Recurrent topics in Feng Li's work include Cancer-related molecular mechanisms research (32 papers), MicroRNA in disease regulation (26 papers) and RNA modifications and cancer (24 papers). Feng Li is often cited by papers focused on Cancer-related molecular mechanisms research (32 papers), MicroRNA in disease regulation (26 papers) and RNA modifications and cancer (24 papers). Feng Li collaborates with scholars based in China, United States and South Korea. Feng Li's co-authors include Chi V. Dang, Karen Zeller, Tam Nguyen, Kathryn A. O’Donnell, Xiaodong Li, Hongdan Li, Rakesh Kumar, Yangguang Shao, Ratna K. Vadlamudi and Rahul Sanawar and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Feng Li

222 papers receiving 7.4k citations

Hit Papers

The c-Myc target gene net... 2006 2026 2012 2019 2006 2007 2024 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Li 5.1k 1.9k 1.8k 660 632 233 7.5k
Ming You 5.2k 1.0× 1.9k 1.0× 2.0k 1.1× 1.2k 1.8× 423 0.7× 198 8.0k
Hans M. Rodermond 3.6k 0.7× 1.6k 0.8× 2.9k 1.7× 868 1.3× 459 0.7× 60 7.1k
Jianjun Shen 4.4k 0.9× 1.3k 0.7× 1.4k 0.8× 635 1.0× 402 0.6× 151 6.6k
Amancio Carnero 6.2k 1.2× 2.2k 1.2× 2.9k 1.7× 838 1.3× 733 1.2× 209 9.6k
Xingming Deng 5.5k 1.1× 1.0k 0.5× 1.8k 1.0× 490 0.7× 873 1.4× 103 7.4k
Wynand P. Roos 5.0k 1.0× 1.5k 0.8× 1.9k 1.1× 574 0.9× 339 0.5× 68 7.1k
Frank A.E. Kruyt 5.7k 1.1× 1.7k 0.9× 2.3k 1.3× 826 1.3× 757 1.2× 140 7.9k
Andrei L. Gartel 5.4k 1.1× 1.2k 0.6× 2.3k 1.3× 402 0.6× 485 0.8× 84 6.8k
Asfar S. Azmi 6.7k 1.3× 3.0k 1.6× 3.4k 1.9× 817 1.2× 399 0.6× 217 10.5k
Bob van de Water 4.7k 0.9× 1.3k 0.7× 1.5k 0.8× 573 0.9× 1.4k 2.2× 224 8.2k

Countries citing papers authored by Feng Li

Since Specialization
Citations

This map shows the geographic impact of Feng Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Li more than expected).

Fields of papers citing papers by Feng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Li. 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 Li. The network helps show where Feng Li may publish in the future.

Co-authorship network of co-authors of Feng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Li. A scholar is included among the top collaborators of Feng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Li. Feng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Meng, Honglei Kang, Yimin Dong, et al.. (2025). Methyl-CpG-binding domain 2 mitigates osteoarthritis through Steap3 promoter methylation and chondrocyte ferroptosis regulation. Experimental & Molecular Medicine. 57(11). 2629–2642.
2.
Zhao, Xin, Hongyan Zhang, Xu Wang, et al.. (2025). PAK5 promotes the trastuzumab resistance by increasing HER2 nuclear accumulation in HER2-positive breast cancer. Cell Death and Disease. 16(1). 323–323. 3 indexed citations
3.
Shang, Hao, Qianqian Liu, Zhenzhen Li, et al.. (2024). Lnc-PSMA8-1 activated by GEFT promotes rhabdomyosarcoma progression via upregulation of mTOR expression by sponging miR-144-3p. BMC Cancer. 24(1). 79–79. 1 indexed citations
4.
Peng, Hao, Min He, Jinxia Li, et al.. (2023). SLC43A2 and NFκB signaling pathway regulate methionine/cystine restriction-induced ferroptosis in esophageal squamous cell carcinoma via a feedback loop. Cell Death and Disease. 14(6). 347–347. 22 indexed citations
6.
Dossou, Senouwa Segla Koffi, Qianchun Deng, Feng Li, et al.. (2023). Comparative Metabolomics Analysis of Different Perilla Varieties Provides Insights into Variation in Seed Metabolite Profiles and Antioxidant Activities. Foods. 12(23). 4370–4370. 7 indexed citations
7.
Wang, Changlong, Wei Zhang, Yanjie He, et al.. (2021). Ferritin-based targeted delivery of arsenic to diverse leukaemia types confers strong anti-leukaemia therapeutic effects. Nature Nanotechnology. 16(12). 1413–1423. 76 indexed citations
8.
Zhang, Xue, Jing Han, Feng Li, et al.. (2020). DUOX2 promotes the progression of colorectal cancer cells by regulating the AKT pathway and interacting with RPL3. Carcinogenesis. 42(1). 105–117. 18 indexed citations
9.
Wang, Qian, Dong Liu, Kaige Wang, et al.. (2019). Hypermethylation of miR-34b/c is associated with early clinical stages and tumor differentiation in Kazakh patients with esophageal squamous cell carcinoma.. PubMed Central. 12(8). 3119–3127. 3 indexed citations
10.
Li, Feng, et al.. (2019). P5CR1 protein expression and the effect of gene-silencing on lung adenocarcinoma. PeerJ. 7. e6934–e6934. 10 indexed citations
11.
Li, Feng, Chao Zhang, & Guifang Zhang. (2019). m6A RNA Methylation Controls Proliferation of Human Glioma Cells by Influencing Cell Apoptosis. Cytogenetic and Genome Research. 159(3). 119–125. 48 indexed citations
12.
Liu, Lulu, Feng Li, Lei Liu, et al.. (2018). Cytotoxic effect of Artesunate on myeloid leukemia cell lines through up-regulating miR-29c expression. Translational Cancer Research. 7(6). 1748–1750. 1 indexed citations
13.
Wu, Fei, Mei Li, Weiyan You, et al.. (2017). A Genetic Variant in miR-124 Decreased the Susceptibility to Esophageal Squamous Cell Carcinoma in a Chinese Kazakh Population. Genetic Testing and Molecular Biomarkers. 22(1). 29–34. 9 indexed citations
14.
Chen, Yinzhong, et al.. (2016). Spatial temporal distribution of hemorrhagic fever with renal syndrome and related factors in coastal area of Yancheng, Jiangsu.. Jibing jiance. 31(6). 477–481. 1 indexed citations
15.
Li, Yan, Weimin Gao, Feng Li, et al.. (2013). An in silico exploration of the interaction mechanism of pyrazolo[1,5- a ]pyrimidine type CDK2 inhibitors. Molecular BioSystems. 9(9). 2266–2281. 40 indexed citations
16.
Li, Feng. (2012). Real-time fluorescent quantitative PCR assay for detection of ESCC tissue the PLCE1 gene expression. 1 indexed citations
17.
Li, Yanshu, et al.. (2009). Screening of Pak4 interacting protein by yeast two-hybrid system.. 38(1). 8–14. 2 indexed citations
18.
Cai, Xinze, Jian Wang, Xiaodong Li, et al.. (2009). Curcumin suppresses proliferation and invasion in human gastric cancer cells by down-regulation of PAK1 activity and cyclin D1 expression. Cancer Biology & Therapy. 8(14). 1360–1368. 104 indexed citations
19.
Vadlamudi, Ratna K., et al.. (2005). An essential role of Pak1 phosphorylation of SHARP in Notch signaling. Oncogene. 24(28). 4591–4596. 38 indexed citations
20.
Duckett, Colin S., Feng Li, Yu Wang, et al.. (1998). Human IAP-Like Protein Regulates Programmed Cell Death Downstream of Bcl-x L and Cytochrome c. Molecular and Cellular Biology. 18(1). 608–615. 185 indexed citations

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.

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