Fang Li

6.1k total citations · 1 hit paper
146 papers, 4.4k citations indexed

About

Fang Li is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Fang Li has authored 146 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Molecular Biology, 79 papers in Cancer Research and 20 papers in Oncology. Recurrent topics in Fang Li's work include Cancer-related molecular mechanisms research (51 papers), MicroRNA in disease regulation (28 papers) and Circular RNAs in diseases (18 papers). Fang Li is often cited by papers focused on Cancer-related molecular mechanisms research (51 papers), MicroRNA in disease regulation (28 papers) and Circular RNAs in diseases (18 papers). Fang Li collaborates with scholars based in China, United States and United Kingdom. Fang Li's co-authors include Chuan‐Yuan Li, Qian Huang, Mark W. Dewhirst, Zahid N. Rabbani, Bin Yan, Wenrong Li, Željko Vujašković, Xinjian Liu, Pierre Sonveaux and Shanling Liu and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Fang Li

140 papers receiving 4.4k citations

Hit Papers

Caspase 3–mediated stimulation of tumor cell repopulation... 2011 2026 2016 2021 2011 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Caspase 3–mediated stimulation of tumor cell repopulation during cancer radiotherapy
    2011 706 citations Qian Huang, Fang Li et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Li China 30 2.4k 1.6k 815 516 409 146 4.4k
Hee Jung Kim South Korea 39 2.0k 0.8× 1.3k 0.8× 953 1.2× 500 1.0× 383 0.9× 165 4.7k
Ji Wang China 32 2.2k 0.9× 1.2k 0.7× 556 0.7× 485 0.9× 529 1.3× 142 3.9k
Yin Wang China 40 3.4k 1.4× 1.4k 0.9× 529 0.6× 455 0.9× 494 1.2× 247 5.8k
Chen Huang China 39 3.1k 1.3× 1.8k 1.1× 513 0.6× 563 1.1× 341 0.8× 279 5.4k
Yi Zeng China 31 1.8k 0.7× 923 0.6× 657 0.8× 367 0.7× 440 1.1× 231 3.6k
Xin Xie China 37 2.3k 0.9× 960 0.6× 764 0.9× 807 1.6× 416 1.0× 153 4.4k
Hui‐Yun Wang China 39 3.2k 1.3× 1.9k 1.2× 762 0.9× 585 1.1× 507 1.2× 147 5.4k
Lin Fang China 41 3.5k 1.4× 2.3k 1.5× 1.0k 1.2× 744 1.4× 325 0.8× 226 5.9k
Lijuan Wang China 36 2.6k 1.1× 1.9k 1.2× 968 1.2× 372 0.7× 344 0.8× 146 4.4k
Daisuke Okuzaki Japan 38 2.4k 1.0× 870 0.6× 650 0.8× 1000 1.9× 300 0.7× 248 4.6k

Countries citing papers authored by Fang Li

Since Specialization
Citations

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

Fields of papers citing papers by Fang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Li. A scholar is included among the top collaborators of Fang 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 Fang Li. Fang 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
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Cao, Guangxu, Yi Guo, Mengting Xu, et al.. (2025). Oligoclonal tumor-specific CD8 T-cell revival and IRE1α/XBP1-GDF15-mediated immunosuppressive niches determine neoadjuvant chemoimmunotherapy efficacy in cervical cancer. Journal for ImmunoTherapy of Cancer. 13(11). e012630–e012630.
4.
Li, Fang, Lin Zuo, Fei Xing, et al.. (2025). Repositioning miconazole: a novel drug for inducing cell death and differentiation in myeloid leukemia. Biochemical Pharmacology. 241. 117126–117126.
5.
Li, Xiaoxu, Fang Li, Pengfei Wang, et al.. (2025). The resistance of litchi fruit to Peronophythora litchii is associated with lignin biosynthesis and reactive oxygen species metabolism. Scientia Horticulturae. 349. 114254–114254. 1 indexed citations
6.
Li, Fang, et al.. (2024). Tetrandrine alleviates inflammation and promotes macrophage M2 polarization ingouty arthritis by NF-κB-mediated Lcp1. Cellular and Molecular Biology. 70(2). 205–211. 7 indexed citations
7.
Cao, Guangxu, Jiali Yue, Ya Han, et al.. (2023). Single‐cell dissection of cervical cancer reveals key subsets of the tumor immune microenvironment. The EMBO Journal. 42(16). e110757–e110757. 34 indexed citations
8.
Zhi, Yong, et al.. (2023). Gamma-Irradiated Non-Capsule Group B Streptococcus Promotes T-Cell Dependent Immunity and Provides a Cross-Protective Reaction. Pharmaceuticals. 16(2). 321–321. 1 indexed citations
9.
Li, Fang, Xinyue Deng, Zheng Huang, et al.. (2023). Integrated transcriptome and metabolome provide insights into flavonoid biosynthesis in 'P113', a new purple tea of <i>Camellia tachangensis</i>. SHILAP Revista de lepidopterología. 3(1). 1–11. 18 indexed citations
10.
Zhang, Yuzhe, et al.. (2023). Bibliometric Analysis of Global Research on Tumor Dormancy. Cancers. 15(12). 3230–3230. 7 indexed citations
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Zhou, Jie, Xiaochen Wang, Mengyue Li, et al.. (2020). A Novel Regulatory Circuit “C/EBPα/miR-20a-5p/TOB2” Regulates Adipogenesis and Lipogenesis. Frontiers in Endocrinology. 10. 894–894. 11 indexed citations
13.
Shi, Ximin, Haiqun Xing, Xiaobo Yang, et al.. (2020). Comparison of PET imaging of activated fibroblasts and 18F-FDG for diagnosis of primary hepatic tumours: a prospective pilot study. European Journal of Nuclear Medicine and Molecular Imaging. 48(5). 1593–1603. 111 indexed citations
14.
Li, Fang, Hua Li, Liyuan Zhang, et al.. (2019). X chromosome‐linked long noncoding RNA lnc‐XLEC1 regulates c‐Myc‐dependent cell growth by collaborating with MBP‐1 in endometrial cancer. International Journal of Cancer. 145(4). 927–940. 11 indexed citations
15.
Wang, Yirong, Siqi Wu, Xun Zhu, et al.. (2019). LncRNA-encoded polypeptide ASRPS inhibits triple-negative breast cancer angiogenesis. The Journal of Experimental Medicine. 217(3). 177 indexed citations
16.
Li, Wenrong, Fang Li, Qian Huang, et al.. (2011). Quantitative, Noninvasive Imaging of Radiation-Induced DNA Double-Strand Breaks In Vivo. Cancer Research. 71(12). 4130–4137. 28 indexed citations
17.
Ran, Di, et al.. (2011). DNA polymorphism of introns 1 and 2 of prolactin receptor gene and its association with litter size in goats.. Animal Science Papers and Reports. 29(4). 343–350. 13 indexed citations
18.
Barnard, Gavin C., Irina Burnina, Youwei Jiang, et al.. (2010). High-throughput screening and selection of yeast cell lines expressing monoclonal antibodies. Journal of Industrial Microbiology & Biotechnology. 37(9). 961–971. 48 indexed citations
19.
Yan, Bin, Huili Wang, Zahid N. Rabbani, et al.. (2006). Tumor Necrosis Factor-α Is a Potent Endogenous Mutagen that Promotes Cellular Transformation. Cancer Research. 66(24). 11565–11570. 131 indexed citations
20.
He, Yuanqing, et al.. (2006). Study on RBP4 as a Candidate Gene for Prolificacy of Small Tailed Han Sheep. 1 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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