Yuhua Fu

722 total citations
20 papers, 493 citations indexed

About

Yuhua Fu is a scholar working on Molecular Biology, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yuhua Fu has authored 20 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Epidemiology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yuhua Fu's work include Autophagy in Disease and Therapy (10 papers), Genetic Neurodegenerative Diseases (7 papers) and Mitochondrial Function and Pathology (5 papers). Yuhua Fu is often cited by papers focused on Autophagy in Disease and Therapy (10 papers), Genetic Neurodegenerative Diseases (7 papers) and Mitochondrial Function and Pathology (5 papers). Yuhua Fu collaborates with scholars based in China, United Kingdom and United States. Yuhua Fu's co-authors include Boxun Lu, Shouqing Luo, Yu Ding, Ziying Wang, Xiaoli Sun, Wen Xue, Peng Wu, Robert W. Button, Marian DiFiglia and Yi Yang and has published in prestigious journals such as Nature Communications, Brain and Human Molecular Genetics.

In The Last Decade

Yuhua Fu

18 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuhua Fu China	13	350	133	79	64	64	20	493
Matthew J. Keuss United Kingdom	6	303 0.9×	90 0.7×	77 1.0×	37 0.6×	108 1.7×	7	426
Maria Dimitriadi United Kingdom	14	555 1.6×	138 1.0×	59 0.7×	121 1.9×	52 0.8×	17	857
Xiao Feng United States	15	705 2.0×	97 0.7×	40 0.5×	23 0.4×	78 1.2×	19	1.3k
Priyanka Madireddi United States	6	648 1.9×	84 0.6×	128 1.6×	35 0.5×	74 1.2×	6	750
Ruth E. Carmichael United Kingdom	12	313 0.9×	43 0.3×	53 0.7×	24 0.4×	66 1.0×	21	401
Maho Takahashi Japan	16	566 1.6×	87 0.7×	99 1.3×	119 1.9×	97 1.5×	31	846
Sho Takatori Japan	13	297 0.8×	126 0.9×	44 0.6×	27 0.4×	167 2.6×	28	586
Pascale Baden Germany	8	194 0.6×	84 0.6×	69 0.9×	55 0.9×	62 1.0×	9	492
Valérie Race Belgium	18	545 1.6×	62 0.5×	74 0.9×	18 0.3×	137 2.1×	45	929
Allyson E. Vaughn United States	5	396 1.1×	63 0.5×	50 0.6×	66 1.0×	45 0.7×	5	522

Countries citing papers authored by Yuhua Fu

Since Specialization

Citations

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

Fields of papers citing papers by Yuhua Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Fu. A scholar is included among the top collaborators of Yuhua 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 Yuhua Fu. Yuhua Fu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Yan, Pu, Yi Wan, Yuhua Fu, et al.. (2025). Lipid droplet clearance inhibits esophageal cancer growth via metabolic reprogramming. Science Bulletin. 70(17). 2748–2752. 1 indexed citations

Jia, Fei, Xiaoman Wang, Yuhua Fu, et al.. (2024). DDHD2, whose mutations cause spastic paraplegia type 54, enhances lipophagy via engaging ATG8 family proteins. Cell Death and Differentiation. 31(3). 348–359. 9 indexed citations

Fu, Yuhua, et al.. (2023). Clearance of lipid droplets by chimeric autophagy-tethering compound ameliorates the age-related macular degeneration phenotype in mice lacking APOE. Autophagy. 19(10). 2668–2681. 16 indexed citations

Wang, Da, et al.. (2023). Targeted clearance of mitochondria by an autophagy-tethering compound (ATTEC) and its potential therapeutic effects. Science Bulletin. 68(23). 3013–3026. 21 indexed citations

Lu, Boxun, et al.. (2022). Autophagic Clearance of Lipid Droplets Alters Metabolic Phenotypes in a Genetic Obesity–Diabetes Mouse Model. PubMed. 3(2). 119–129. 15 indexed citations

Li, Xiaojing, Yuanyuan Zhang, Yuhua Fu, et al.. (2021). Gossypol, a novel modulator of VCP, induces autophagic degradation of mutant huntingtin by promoting the formation of VCP/p97-LC3-mHTT complex. Acta Pharmacologica Sinica. 42(10). 1556–1566. 13 indexed citations

Fu, Yuhua, et al.. (2021). Degradation of lipid droplets by chimeric autophagy-tethering compounds. Cell Research. 31(9). 965–979. 137 indexed citations

Fu, Yuhua & Boxun Lu. (2021). Targeting lipid droplets for autophagic degradation by ATTEC. Autophagy. 17(12). 4486–4488. 22 indexed citations

Roberts, Sheridan L., Tracey L. Evans, Yi Yang, et al.. (2019). Bim contributes to the progression of Huntington’s disease-associated phenotypes. Human Molecular Genetics. 29(2). 216–227. 5 indexed citations

10.

Yang, Yi, Thea L. Willis, Robert W. Button, et al.. (2019). Cytoplasmic DAXX drives SQSTM1/p62 phase condensation to activate Nrf2-mediated stress response. Nature Communications. 10(1). 3759–3759. 75 indexed citations

11.

Li, Hexuan, Shimeng Guo, Yuhua Fu, et al.. (2018). Targeting Gpr52 lowers mutant HTT levels and rescues Huntington’s disease-associated phenotypes. Brain. 141(6). 1782–1798. 34 indexed citations

12.

Fu, Yuhua, et al.. (2017). A toxic mutant huntingtin species is resistant to selective autophagy. Nature Chemical Biology. 13(11). 1152–1154. 43 indexed citations

13.

Yu, Meng, Yuhua Fu, Peng Wu, et al.. (2017). Suppression of MAPK11 or HIPK3 reduces mutant Huntingtin levels in Huntington's disease models. Cell Research. 27(12). 1441–1465. 33 indexed citations

14.

Fu, Yuhua, Xiaoli Sun, & Boxun Lu. (2017). HIPK3 modulates autophagy and HTT protein levels in neuronal and mouse models of Huntington disease. Autophagy. 14(1). 169–170. 19 indexed citations

15.

Sun, Xiaoli, et al.. (2017). Conformation-dependent recognition of mutant HTT (huntingtin) proteins by selective autophagy. Autophagy. 13(12). 2111–2112. 12 indexed citations

16.

Lu, Boxun & Yuhua Fu. (2016). New Strategies for Drug Discoveries of Neurodegenerative Disease: Degradation of Pathogenic Mutant Proteins. Scientia Sinica Vitae. 46(4). 397–405. 1 indexed citations

17.

Zhang, Lan, Xingmei Yang, Yuan Yue, et al.. (2014). Cyclic mechanical stress modulates neurotrophic and myelinating gene expression of Schwann cells. Cell Proliferation. 48(1). 59–66. 26 indexed citations

18.

Zhou, Chuan, Xiaoxiao Cai, Yuhua Fu, et al.. (2014). Tetraploid complementation proves pluripotency of induced pluripotent stem cells derived from adipose tissue. Cell Proliferation. 48(1). 39–46. 8 indexed citations

19.

Fu, Yuhua, et al.. (2011). The Progress of Induced Pluripotent Stem Cells (iPSCs) for Research and Applications. PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS. 38(2). 101–112.

20.

Xue, Yemin, et al.. (1993). Expression of a fusion protein containing calf prochymosin B(1-161) and human proinsulin.. PubMed. 9(2). 71–8. 3 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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