Fubing Li

1.2k total citations
30 papers, 787 citations indexed

About

Fubing Li is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Fubing Li has authored 30 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 5 papers in Surgery and 4 papers in Oncology. Recurrent topics in Fubing Li's work include Kruppel-like factors research (7 papers), Cancer-related gene regulation (5 papers) and Epigenetics and DNA Methylation (4 papers). Fubing Li is often cited by papers focused on Kruppel-like factors research (7 papers), Cancer-related gene regulation (5 papers) and Epigenetics and DNA Methylation (4 papers). Fubing Li collaborates with scholars based in China, Hong Kong and United States. Fubing Li's co-authors include Ceshi Chen, Zhongmei Zhou, Yanjie Kong, Wenlin Chen, Huichun Liang, Chunyan Wang, Rong Liu, Peiguo Shi, Chuanyu Yang and Yingying Wu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Fubing Li

28 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fubing Li China 15 544 162 154 142 69 30 787
Gang Dong China 11 403 0.7× 211 1.3× 170 1.1× 107 0.8× 37 0.5× 20 633
Alireza Biglari Iran 13 376 0.7× 173 1.1× 115 0.7× 99 0.7× 68 1.0× 50 667
Djoke van Gosliga Netherlands 13 570 1.0× 65 0.4× 155 1.0× 116 0.8× 98 1.4× 18 978
Jana Dobrovolná Czechia 13 493 0.9× 109 0.7× 178 1.2× 110 0.8× 43 0.6× 16 780
Victoria Sherwood United Kingdom 16 616 1.1× 140 0.9× 218 1.4× 73 0.5× 129 1.9× 19 969
Yong Hoon South Korea 16 574 1.1× 284 1.8× 129 0.8× 53 0.4× 70 1.0× 24 885
Yu-Chih Wu Taiwan 13 355 0.7× 198 1.2× 146 0.9× 46 0.3× 62 0.9× 23 757
Andrea Farina Italy 18 1.1k 2.1× 136 0.8× 257 1.7× 141 1.0× 134 1.9× 35 1.5k
Asaf Rotem United States 14 612 1.1× 124 0.8× 235 1.5× 89 0.6× 92 1.3× 22 920
Payel Bhanja United States 12 339 0.6× 140 0.9× 202 1.3× 53 0.4× 39 0.6× 25 782

Countries citing papers authored by Fubing Li

Since Specialization
Citations

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

Fields of papers citing papers by Fubing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fubing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fubing Li. A scholar is included among the top collaborators of Fubing 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 Fubing Li. Fubing 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.
Liang, Huichun, Fubing Li, Huan Fang, et al.. (2025). A novel peptide 66CTG stabilizes Myc proto-oncogene protein to promote triple-negative breast cancer growth. Signal Transduction and Targeted Therapy. 10(1). 217–217.
2.
Hong, Changshou, et al.. (2025). Scenario analysis of radon attenuation efficacy of earthen cover for uranium mill tailings impoundment driven by dry and wet cycles. Nuclear Engineering and Technology. 57(11). 103755–103755.
3.
Liu, Rui, Jing Zhu, Qianjun He, et al.. (2025). Positive Feedback Regulation between KLF5 and XPO1 Promotes Cell Cycle Progression of Basal like Breast Cancer. Advanced Science. 12(16). e2412096–e2412096. 2 indexed citations
4.
Zhou, Jinge, Ziyu Zhou, Zhehao Wang, et al.. (2024). Lipid nanoparticles produce chimeric antigen receptor macrophages (CAR-M) in situ for the treatment of solid tumors. Nano Today. 61. 102610–102610. 3 indexed citations
5.
Zhang, Hongyan, Longlong Zhang, Dewei Jiang, et al.. (2024). PI3K PROTAC overcomes the lapatinib resistance in PIK3CA-mutant HER2 positive breast cancer. Cancer Letters. 598. 217112–217112. 19 indexed citations
6.
Cheng, Zhuo, Wei Li, Li Hua Jin, et al.. (2024). HECTD3 inhibits NLRP3 inflammasome assembly and activation by blocking NLRP3-NEK7 interaction. Cell Death and Disease. 15(1). 86–86. 8 indexed citations
7.
Wang, Tiantian, Fubing Li, Jian Sun, et al.. (2024). LN-439A, a novel BAP1 inhibitor, suppresses the growth of basal-like breast cancer by degrading KLF5. Acta Pharmacologica Sinica. 46(3). 715–727. 3 indexed citations
8.
Liu, Wenjing, Fubing Li, Qiuyun Jiang, et al.. (2024). An essential role of the E3 ubiquitin ligase RNF126 in ensuring meiosis I completion during spermatogenesis. Journal of Advanced Research. 73. 231–245. 2 indexed citations
9.
Li, Yuzhan, Zhongmei Zhou, Wenjing Liu, et al.. (2024). Targeting PRMT5 through PROTAC for the treatment of triple-negative breast cancer. Journal of Experimental & Clinical Cancer Research. 43(1). 314–314. 18 indexed citations
10.
Liu, Wenjing, Zhuo Cheng, Fubing Li, et al.. (2024). Targeting the HECTD3-p62 axis increases the radiosensitivity of triple negative breast cancer cells. Cell Death Discovery. 10(1). 462–462. 2 indexed citations
11.
Kong, Yanjie, Wenlong Ren, Naseer Ali Shah, et al.. (2022). Histone Deacetylase Inhibitors (HDACi) Promote KLF5 Ubiquitination and Degradation in Basal-like Breast Cancer. International Journal of Biological Sciences. 18(5). 2104–2115. 19 indexed citations
12.
Sun, Xianding, et al.. (2021). A Systematic Review and Meta‐Analysis of Combined Antibiotic Spacer with Ilizarov Methods in the Treatment of Infected Nonunion of Tibia. BioMed Research International. 2021(1). 6668617–6668617. 8 indexed citations
13.
Zhou, Yuan‐Fei, Dongzhu Duan, Chuanyu Yang, et al.. (2021). Targeting ubiquitin conjugating enzyme UbcH5b by a triterpenoid PC3-15 from Schisandra plants sensitizes triple-negative breast cancer cells to lapatinib. Cancer Letters. 504. 125–136. 21 indexed citations
14.
Jiang, Qiuyun, Fubing Li, Zhuo Cheng, Yanjie Kong, & Ceshi Chen. (2019). The role of E3 ubiquitin ligase HECTD3 in cancer and beyond. Cellular and Molecular Life Sciences. 77(8). 1483–1495. 26 indexed citations
15.
Wu, Yingying, Junying Qin, Fubing Li, et al.. (2019). USP3 promotes breast cancer cell proliferation by deubiquitinating KLF5. Journal of Biological Chemistry. 294(47). 17837–17847. 56 indexed citations
16.
Li, Fubing, Yang Li, Huichun Liang, et al.. (2018). HECTD3 mediates TRAF3 polyubiquitination and type I interferon induction during bacterial infection. Journal of Clinical Investigation. 128(9). 4148–4162. 48 indexed citations
17.
Liang, Huichun, Xiao‐Jun Ji, Zhongmei Zhou, et al.. (2018). Hypoxia induces miR-153 through the IRE1α-XBP1 pathway to fine tune the HIF1α/VEGFA axis in breast cancer angiogenesis. Oncogene. 37(15). 1961–1975. 109 indexed citations
18.
Shi, Peiguo, Wenjing Liu, Tala, et al.. (2017). Metformin suppresses triple-negative breast cancer stem cells by targeting KLF5 for degradation. Cell Discovery. 3(1). 17010–17010. 114 indexed citations
19.
Shi, Jian, Ningfang Mao, Li Wang, et al.. (2014). Efficacy of Combined Vancomycin and Fosfomycin against Methicillin-Resistant Staphylococcus aureus in Biofilms In Vivo. PLoS ONE. 9(12). e113133–e113133. 33 indexed citations
20.

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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