Zhenfa Fu

446 total citations
8 papers, 337 citations indexed

About

Zhenfa Fu is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zhenfa Fu has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Physiology, 2 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zhenfa Fu's work include Autophagy in Disease and Therapy (2 papers), Alzheimer's disease research and treatments (2 papers) and Nerve injury and regeneration (2 papers). Zhenfa Fu is often cited by papers focused on Autophagy in Disease and Therapy (2 papers), Alzheimer's disease research and treatments (2 papers) and Nerve injury and regeneration (2 papers). Zhenfa Fu collaborates with scholars based in China and United States. Zhenfa Fu's co-authors include Weidong Le, Xiaojiao Xu, Song Li, Rujia Zhong, Feng Zhang, Cheng Cheng, Huaibin Cai, Tianxiao Wang, Zhi‐Li Huang and Renfei Wang and has published in prestigious journals such as Signal Transduction and Targeted Therapy, Alzheimer s & Dementia and Frontiers in Aging Neuroscience.

In The Last Decade

Zhenfa Fu

8 papers receiving 331 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhenfa Fu China 7 90 83 81 73 51 8 337
Katsuhiko Shibuya Japan 12 67 0.7× 80 1.0× 81 1.0× 127 1.7× 53 1.0× 19 333
Samantha Calderazzo United States 9 125 1.4× 36 0.4× 116 1.4× 69 0.9× 33 0.6× 15 340
Wen Fan China 9 128 1.4× 45 0.5× 88 1.1× 45 0.6× 83 1.6× 10 484
Maura Castelli Italy 9 117 1.3× 102 1.2× 57 0.7× 80 1.1× 148 2.9× 11 471
Sofia Pereira das Neves Portugal 9 190 2.1× 53 0.6× 83 1.0× 125 1.7× 93 1.8× 16 408
Niklas Koehler Germany 10 78 0.9× 89 1.1× 84 1.0× 145 2.0× 171 3.4× 20 458
Molly M. Deak United States 9 94 1.0× 34 0.4× 61 0.8× 39 0.5× 53 1.0× 10 374
Ekaterina Veniaminova Russia 12 68 0.8× 52 0.6× 150 1.9× 158 2.2× 142 2.8× 21 510
Xiao Ren United States 14 72 0.8× 37 0.4× 148 1.8× 125 1.7× 90 1.8× 25 386
Odette Leiter Australia 10 116 1.3× 30 0.4× 137 1.7× 85 1.2× 56 1.1× 13 399

Countries citing papers authored by Zhenfa Fu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenfa Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenfa Fu

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

All Works

8 of 8 papers shown
1.
Fu, Zhenfa, et al.. (2024). Interaction between Aβ and tau on reversion and conversion in mild cognitive impairment patients: After 2-year follow-up. Heliyon. 10(5). e26839–e26839. 1 indexed citations
2.
Shao, Yaping, Zhenfa Fu, Yanfeng Wang, et al.. (2023). A metabolome atlas of mouse brain on the global metabolic signature dynamics following short-term fasting. Signal Transduction and Targeted Therapy. 8(1). 334–334. 10 indexed citations
3.
Yang, Kang, Zhaofei Yang, Zhenfa Fu, et al.. (2020). Activation of dopamine receptor D1 inhibits glioblastoma tumorigenicity by regulating autophagic activity. Cellular Oncology. 43(6). 1175–1190. 24 indexed citations
4.
Xu, Xiaojiao, Zhenfa Fu, & Weidong Le. (2019). Exercise and Parkinson's disease. International review of neurobiology. 147. 45–74. 105 indexed citations
5.
Fu, Zhenfa, et al.. (2019). Therapeutic effects of hirsutella sinensis on the disease onset and progression of amyotrophic lateral sclerosis in SOD1G93A transgenic mouse model. CNS Neuroscience & Therapeutics. 26(1). 90–100. 8 indexed citations
6.
Zhang, Feng, Rujia Zhong, Song Li, et al.. (2019). Alteration in sleep architecture and electroencephalogram as an early sign of Alzheimer's disease preceding the disease pathology and cognitive decline. Alzheimer s & Dementia. 15(4). 590–597. 55 indexed citations
7.
Wei, Min, Zhenfa Fu, Che Wang, et al.. (2018). Graphene Oxide Nanocolloids Induce Autophagy-Lysosome Dysfunction in Mouse Embryonic Stem Cells. Journal of Biomedical Nanotechnology. 15(2). 340–351. 22 indexed citations
8.
Zhang, Feng, Rujia Zhong, Song Li, et al.. (2017). Acute Hypoxia Induced an Imbalanced M1/M2 Activation of Microglia through NF-κB Signaling in Alzheimer’s Disease Mice and Wild-Type Littermates. Frontiers in Aging Neuroscience. 9. 282–282. 112 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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