Fang Wang

28.9k total citations · 2 hit papers
734 papers, 20.2k citations indexed

About

Fang Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Fang Wang has authored 734 papers receiving a total of 20.2k indexed citations (citations by other indexed papers that have themselves been cited), including 342 papers in Molecular Biology, 113 papers in Cellular and Molecular Neuroscience and 80 papers in Neurology. Recurrent topics in Fang Wang's work include Neuroscience and Neuropharmacology Research (76 papers), Neuroinflammation and Neurodegeneration Mechanisms (51 papers) and Ion channel regulation and function (43 papers). Fang Wang is often cited by papers focused on Neuroscience and Neuropharmacology Research (76 papers), Neuroinflammation and Neurodegeneration Mechanisms (51 papers) and Ion channel regulation and function (43 papers). Fang Wang collaborates with scholars based in China, United States and Canada. Fang Wang's co-authors include Jianguo Chen, Zhuang‐Li Hu, Liang Ouyang, Shenglin Zhao, Tingting Zhou, Ji Bao, Zhihong Shi, B. Liu, Jingyu Yang and Chunfu Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Advanced Materials.

In The Last Decade

Fang Wang

695 papers receiving 19.9k citations

Hit Papers

Programmed cell death pat... 2012 2026 2016 2021 2012 2020 250 500 750 1000
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. Programmed cell death pathways in cancer: a review of apoptosis, autophagy and programmed necrosis
    2012 1.1k citations Fang Wang et al. profile →
  2. The m6A reader YTHDF1 promotes ovarian cancer progression via augmenting EIF3C translation
    2020 530 citations Fang Wang et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fang Wang 9.2k 2.3k 2.3k 1.9k 1.9k 734 20.2k
Marcel Leist 10.1k 1.1× 2.1k 0.9× 3.1k 1.3× 1.3k 0.7× 2.2k 1.2× 291 19.4k
Ling Li 10.2k 1.1× 2.5k 1.1× 1.9k 0.8× 3.4k 1.8× 1.0k 0.5× 519 20.7k
Antonio Cuadrado 11.1k 1.2× 2.3k 1.0× 1.5k 0.7× 950 0.5× 1.1k 0.6× 180 17.3k
Xiaoying Wang 8.2k 0.9× 2.5k 1.1× 1.9k 0.8× 3.2k 1.7× 3.9k 2.1× 477 19.9k
Emanuela Mazzon 8.3k 0.9× 3.6k 1.6× 1.8k 0.8× 1.7k 0.9× 1.6k 0.8× 589 24.5k
Gang Hu 7.7k 0.8× 2.2k 1.0× 3.9k 1.7× 1.8k 1.0× 1.2k 0.6× 379 16.3k
Young‐Myeong Kim 7.7k 0.8× 3.0k 1.3× 964 0.4× 1.6k 0.8× 986 0.5× 358 16.4k
Chung Y. Hsu 5.8k 0.6× 2.9k 1.3× 3.4k 1.5× 1.4k 0.7× 3.1k 1.7× 468 19.8k
Guanhua Du 9.3k 1.0× 2.3k 1.0× 810 0.4× 1.5k 0.8× 1.6k 0.9× 752 20.0k
Hideaki Hara 8.3k 0.9× 2.4k 1.1× 3.1k 1.4× 661 0.3× 1.5k 0.8× 567 19.4k

Countries citing papers authored by Fang Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fang Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Wang. A scholar is included among the top collaborators of Fang Wang 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 Wang. Fang Wang 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.
Wang, Fang, Zhijian Sun, Wei Yan, & Haiqing Wang. (2025). Circ-LRP6 Inhibits the Development and Progression of AAA Via miR-29a-3p/HIF-1α Axis. Current Pharmaceutical Biotechnology. 26(17). 2738–2752.
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Qin, Qi, Kaiyuan Zhang, Fang Wang, et al.. (2025). Sphk2 in ischemic stroke pathogenesis: Roles, mechanisms, and regulation strategies. Ageing Research Reviews. 111. 102844–102844. 2 indexed citations
4.
Liu, Weifeng, Hongfa Yu, Haiyan Ma, et al.. (2025). 3D mesomechanical study on the stress failure mechanism of concrete - Taking uniaxial compression as an example. Construction and Building Materials. 467. 140381–140381. 2 indexed citations
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Xu, Yunfeng, et al.. (2024). Transcriptomic and Physiological Analysis of the Effects of Exogenous Phloretin and Pterostilbene on Resistance Responses of Stylosanthes against Anthracnose. International Journal of Molecular Sciences. 25(5). 2701–2701. 2 indexed citations
7.
Li, Yiming, et al.. (2024). Interactions-stabilized metastable trans-isomers and force-induced ESIPT release. Dyes and Pigments. 235. 112560–112560. 1 indexed citations
8.
Wang, Fang, et al.. (2024). Profile of key metabolites and identification of HMGCS1-DHEA pathway in porcine Sertoli cells treated by Vitamin C. The Journal of Steroid Biochemistry and Molecular Biology. 243. 106580–106580.
9.
Ma, Xiangrui, et al.. (2023). FERMT2 upregulation in CAFs enhances EMT of OSCC and M2 macrophage polarization. Oral Diseases. 30(3). 991–1003. 3 indexed citations
10.
Li, Wei, Fang Wang, Fang Sun, et al.. (2023). Effects of vitamin A on intramuscular fat development in beef cattle: A meta-analysis. Frontiers in Veterinary Science. 10. 1105754–1105754. 5 indexed citations
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Wang, Fang, Yixin Pan, Peng Huang, et al.. (2023). Unilateral anterior capsulotomy combined with deep brain stimulation for Parkinson's disease psychosis and motor dysfunctions. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 128. 110865–110865. 1 indexed citations
14.
Liu, Yantong, Longfei Chen, Le Yu, et al.. (2023). Confinement-enhanced microalgal individuals biosensing for digital atrazine assay. Biosensors and Bioelectronics. 241. 115647–115647. 5 indexed citations
15.
Lü, Jun, Lina Chen, Fang Wang, et al.. (2023). Design, synthesis and bioevaluation of 1,2,4-thiadiazolidine-3,5-dione derivatives as potential GSK-3β inhibitors for the treatment of Alzheimer's disease. Bioorganic Chemistry. 134. 106446–106446. 17 indexed citations
16.
Wu, Lei, Fang Wang, Carole L. Moncman, et al.. (2023). RIT1 deficiency alters cerebral lipid metabolism and reduces white matter tract oligodendrocytes and conduction velocities. Heliyon. 9(10). e20384–e20384.
17.
Wang, Fang, Li Zheng, Zhuang Yang, et al.. (2018). SKLB-23bb, A HDAC6-Selective Inhibitor, Exhibits Superior and Broad-Spectrum Antitumor Activity via Additionally Targeting Microtubules. Molecular Cancer Therapeutics. 17(4). 763–775. 21 indexed citations
18.
Chen, Jianguo, et al.. (2013). Brain-derived neurotrophic factor (BDNF) as an endogenous antioxidant in animal models of disease. Acta Pharmacologica Sinica. 34(S1). S1–S3. 1 indexed citations
19.
Peng, Xiaodong, Fang Wang, Liwei Li, et al.. (2013). Exploring a structural protein–drug interactome for new therapeutics in lung cancer. Molecular BioSystems. 10(3). 581–591. 12 indexed citations
20.
Wang, Fang, Yuefeng He, Huan Guo, et al.. (2010). Genetic Variants of Nucleotide Excision Repair Genes Are Associated with DNA Damage in Coke Oven Workers. Cancer Epidemiology Biomarkers & Prevention. 19(1). 211–218. 26 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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