Li Fu

1.2k total citations · 1 hit paper
40 papers, 674 citations indexed

About

Li Fu is a scholar working on Molecular Biology, Surgery and Hematology. According to data from OpenAlex, Li Fu has authored 40 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Surgery and 5 papers in Hematology. Recurrent topics in Li Fu's work include Protein Degradation and Inhibitors (10 papers), Sperm and Testicular Function (5 papers) and Reproductive Biology and Fertility (3 papers). Li Fu is often cited by papers focused on Protein Degradation and Inhibitors (10 papers), Sperm and Testicular Function (5 papers) and Reproductive Biology and Fertility (3 papers). Li Fu collaborates with scholars based in China, United States and Canada. Li Fu's co-authors include Kewei Li, Ming Xu, Hongyi Zhu, Fu Ji, Chao Yang, Huojian Shen, Ewelina Kulikowski, Jan O. Johansson, Michael Sweeney and Haibao Jin and has published in prestigious journals such as Circulation, Advanced Functional Materials and Scientific Reports.

In The Last Decade

Li Fu

37 papers receiving 655 citations

Hit Papers

Molecular mechanisms in liver repair and regeneration: fr... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Fu China 13 249 159 128 110 66 40 674
Jiaxi Chen China 17 168 0.7× 147 0.9× 78 0.6× 46 0.4× 59 0.9× 54 739
Nick D. Tsihlis United States 15 245 1.0× 133 0.8× 115 0.9× 70 0.6× 259 3.9× 39 769
Weixing Zhang China 14 279 1.1× 176 1.1× 90 0.7× 58 0.5× 68 1.0× 67 815
Eva Moelants Belgium 14 126 0.5× 84 0.5× 93 0.7× 271 2.5× 56 0.8× 14 730
Ban‐An Khaw United States 18 283 1.1× 173 1.1× 92 0.7× 36 0.3× 130 2.0× 47 910
Zheng Huang China 19 300 1.2× 284 1.8× 194 1.5× 60 0.5× 30 0.5× 61 1.0k
Jae Hoon Lee South Korea 20 361 1.4× 176 1.1× 52 0.4× 28 0.3× 24 0.4× 109 1.2k
Johan Baert Belgium 18 402 1.6× 173 1.1× 183 1.4× 39 0.4× 65 1.0× 43 948
Bock Lim Australia 13 293 1.2× 113 0.7× 109 0.9× 32 0.3× 73 1.1× 16 807
Xuewei Zhao China 15 249 1.0× 140 0.9× 132 1.0× 232 2.1× 37 0.6× 50 729

Countries citing papers authored by Li Fu

Since Specialization
Citations

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

Fields of papers citing papers by Li Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Li Fu. A scholar is included among the top collaborators of Li Fu 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 Li Fu. Li Fu 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.
Ma, Xiao, Tengda Huang, Xi Chen, et al.. (2025). Molecular mechanisms in liver repair and regeneration: from physiology to therapeutics. Signal Transduction and Targeted Therapy. 10(1). 63–63. 20 indexed citations breakdown →
2.
Mao, Fei, et al.. (2024). Identification of pyroptosis-related gene signature in nonalcoholic steatohepatitis. Scientific Reports. 14(1). 3175–3175. 4 indexed citations
3.
Fu, Li, Yanfei Guo, Zhiqing Chen, et al.. (2024). Effects of long-term exposure to ambient fine particulate matter and its specific components on blood pressure and hypertension incidence. Environment International. 184. 108464–108464. 20 indexed citations
5.
Gilham, Dean, Sylwia Wasiak, Brooke D. Rakai, et al.. (2023). Apabetalone Downregulates Fibrotic, Inflammatory and Calcific Processes in Renal Mesangial Cells and Patients with Renal Impairment. Biomedicines. 11(6). 1663–1663. 6 indexed citations
6.
Fu, Li, et al.. (2023). P1191: A NOVEL PROGNOSTIC MODEL OF DLBCL PATIENTS BASED ON CUPROPTOSIS RELATED GENES. HemaSphere. 7(S3). e4495877–e4495877.
7.
Wasiak, Sylwia, Li Fu, Dean Gilham, et al.. (2023). The BET inhibitor apabetalone decreases neuroendothelial proinflammatory activationin vitroand in a mouse model of systemic inflammation. Translational Neuroscience. 14(1). 20220332–20220332. 1 indexed citations
8.
Fu, Li, Dean Gilham, Stephanie C. Stotz, et al.. (2023). Dual mechanism: Epigenetic inhibitor apabetalone reduces SARS-CoV-2 Delta and Omicron variant spike binding and attenuates SARS-CoV-2 RNA induced inflammation. International Immunopharmacology. 117. 109929–109929. 2 indexed citations
9.
Mao, Fei, Jing Xu, Jinmiao Lu, et al.. (2022). Transcriptome Analysis of Multiple Metabolic Tissues in High-Salt Diet–Fed Mice. Frontiers in Endocrinology. 13. 887843–887843. 5 indexed citations
10.
Guo, Tongjun, Huaqi Guo, Li Fu, et al.. (2022). The modifying effect of trait anxiety on the association of fine particulate matter with heart rate variability variables. International Journal of Hygiene and Environmental Health. 241. 113933–113933. 1 indexed citations
11.
Fu, Feng, et al.. (2021). The pregnancy-related anxiety characteristics in women with gestational diabetes mellitus: why should we care?. BMC Pregnancy and Childbirth. 21(1). 424–424. 14 indexed citations
12.
Zhang, ‪Shuyuan, Rongxia Li, Yu Chen, et al.. (2020). Longitudinal Association of Telomere Attrition with the Effects of Antihypertensive Treatment and Blood Pressure Lowering. Aging and Disease. 11(3). 494–494. 11 indexed citations
13.
Wasiak, Sylwia, Kim E. Dzobo, Brooke D. Rakai, et al.. (2020). BET protein inhibitor apabetalone (RVX-208) suppresses pro-inflammatory hyper-activation of monocytes from patients with cardiovascular disease and type 2 diabetes. Clinical Epigenetics. 12(1). 166–166. 31 indexed citations
15.
Liu, Lili, Jianchang Cao, Li Fu, et al.. (2019). In Vivo Exon Replacement in the Mouse Atp7b Gene by the Cas9 System. Human Gene Therapy. 30(9). 1079–1092. 4 indexed citations
16.
Fu, Li, Li Song, Xiaomei Yang, et al.. (2019). Anticancer and genotoxicity effect of (Clausena lansium (Lour.) Skeels) Peel ZnONPs on neuroblastoma (SH-SY5Y) cells through the modulation of autophagy mechanism. Journal of Photochemistry and Photobiology B Biology. 203. 111748–111748. 32 indexed citations
17.
Jiang, Weihua, Li‐Li Liu, Jing Zhou, et al.. (2018). Production of Wilson Disease Model Rabbits with Homology-Directed Precision Point Mutations in the ATP7B Gene Using the CRISPR/Cas9 System. Scientific Reports. 8(1). 1332–1332. 21 indexed citations
18.
Fu, Li, Ranran Liu, Hao Bai, et al.. (2015). The expression of the six candidate genes for asthenospermia of the rooster.. 46(6). 889–895. 1 indexed citations
19.
Zhu, Hongyi, Ming Xu, Huojian Shen, et al.. (2015). A meta-analysis of single-stage versus two-stage management for concomitant gallstones and common bile duct stones. Clinics and Research in Hepatology and Gastroenterology. 39(5). 584–593. 76 indexed citations
20.
Fu, Li. (2006). Self-care Activities and Disease Control of the Elderly with Type 2 Diabetes Mellitus. Journal of Nursing Science. 2 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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