Yu‐He Yuan

4.2k total citations · 1 hit paper
97 papers, 3.4k citations indexed

About

Yu‐He Yuan is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu‐He Yuan has authored 97 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 38 papers in Neurology and 26 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu‐He Yuan's work include Parkinson's Disease Mechanisms and Treatments (38 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and Nuclear Receptors and Signaling (12 papers). Yu‐He Yuan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (38 papers), Neuroinflammation and Neurodegeneration Mechanisms (18 papers) and Nuclear Receptors and Signaling (12 papers). Yu‐He Yuan collaborates with scholars based in China, United States and Japan. Yu‐He Yuan's co-authors include Nai‐Hong Chen, Hongbo Wang, Shuo Wang, Jiandong Sun, Qiu-Shuang Zhang, Yang Heng, Zhen‐Zhen Wang, Jin‐Feng Hu, Yi Zhang and Juyang Huang and has published in prestigious journals such as PLoS ONE, Brain Research and Journal of Colloid and Interface Science.

In The Last Decade

Yu‐He Yuan

96 papers receiving 3.4k citations

Hit Papers

The mechanisms of NLRP3 inflammasome/pyroptosis activatio... 2018 2026 2020 2023 2018 100 200 300

Peers

Yu‐He Yuan
Dong‐Young Choi South Korea
Seung‐Hwan Kwon South Korea
Huajun Jin United States
Marcelo R. Vargas United States
Shankar J. Chinta United States
Onyou Hwang South Korea
Avik Roy United States
Dong‐Young Choi South Korea
Yu‐He Yuan
Citations per year, relative to Yu‐He Yuan Yu‐He Yuan (= 1×) peers Dong‐Young Choi

Countries citing papers authored by Yu‐He Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐He Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐He Yuan. 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 Yu‐He Yuan. The network helps show where Yu‐He Yuan may publish in the future.

Co-authorship network of co-authors of Yu‐He Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐He Yuan. A scholar is included among the top collaborators of Yu‐He Yuan 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 Yu‐He Yuan. Yu‐He Yuan 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.
Sun, Xiaohuan, Yu‐He Yuan, Xu Liu, et al.. (2025). Porphyrin-based supramolecular chiral assembly for enantioselective interaction and augmented photodynamic therapy. Journal of Colloid and Interface Science. 699(Pt 2). 138235–138235.
2.
Liang, Yuanyuan, Yu‐He Yuan, Xiaohuan Sun, et al.. (2024). pH-responsive chiral supramolecular cysteine-Zn2+-indocyanine green assemblies for triple-level chirality-specific anti-tumor efficacy. Chinese Chemical Letters. 36(5). 110432–110432. 2 indexed citations
3.
Li, Yanyan, et al.. (2023). An insight into the TAM system in Alzheimer’s disease. International Immunopharmacology. 116. 109791–109791. 9 indexed citations
4.
Chen, Ying, et al.. (2022). Ginsenoside Rg1 Plays a Neuroprotective Role in Regulating the Iron-Regulated Proteins and Against Lipid Peroxidation in Oligodendrocytes. Neurochemical Research. 47(6). 1721–1735. 16 indexed citations
5.
Li, Yanyan, et al.. (2022). Distribution of α-Synuclein Aggregation in the Peripheral Tissues. Neurochemical Research. 47(12). 3627–3634. 10 indexed citations
6.
Shao, Qian-Hang, et al.. (2022). CB2 receptor activation inhibits the phagocytic function of microglia through activating ERK/AKT-Nurr1 signal pathways. Acta Pharmacologica Sinica. 43(9). 2253–2266. 21 indexed citations
7.
Feng, Sitong, Zhen‐Zhen Wang, Yu‐He Yuan, et al.. (2020). Update on the association between alpha‐synuclein and tau with mitochondrial dysfunction: Implications for Parkinson's disease. European Journal of Neuroscience. 53(9). 2946–2959. 35 indexed citations
8.
Li, Chuang‐Jun, Jie Ma, Jingzhi Yang, et al.. (2020). Bioactive flavonoid dimers from Chinese dragon's blood, the red resin of Dracaena cochinchinensis. Bioorganic Chemistry. 97. 103659–103659. 16 indexed citations
9.
Zhang, Chenglu, et al.. (2020). Research on developing drugs for Parkinson's disease. Brain Research Bulletin. 168. 100–109. 16 indexed citations
10.
Yang, Xiong, Shifeng Chu, Zhen‐Zhen Wang, et al.. (2020). Ginsenoside Rg1 exerts neuroprotective effects in 3-nitropronpionic acid-induced mouse model of Huntington’s disease via suppressing MAPKs and NF-κB pathways in the striatum. Acta Pharmacologica Sinica. 42(9). 1409–1421. 41 indexed citations
11.
Shao, Qian-Hang, Ying Chen, Fangfang Li, et al.. (2019). TLR4 deficiency has a protective effect in the MPTP/probenecid mouse model of Parkinson’s disease. Acta Pharmacologica Sinica. 40(12). 1503–1512. 63 indexed citations
12.
Gao, Jiahong, Tingfu Du, Donghong Tang, et al.. (2018). Alpha-synuclein is highly prone to distribution in the hippocampus and midbrain in tree shrews, and its fibrils seed Lewy body-like pathology in primary neurons. Experimental Gerontology. 116. 37–45. 6 indexed citations
13.
Kong, Linglei, Zhiyuan Wang, Jin‐Feng Hu, et al.. (2016). Inhibition of chemokine-like factor 1 improves blood-brain barrier dysfunction in rats following focal cerebral ischemia. Neuroscience Letters. 627. 192–198. 28 indexed citations
14.
Wu, Zheng, Jiejie Dai, Ying Zhang, et al.. (2015). Human and Tree Shrew Alpha-synuclein: Comparative cDNA Sequence and Protein Structure Analysis. Applied Biochemistry and Biotechnology. 177(4). 957–966. 3 indexed citations
15.
Shao, Qian-Hang, et al.. (2015). The molecular mechanism of polygalasaponin F-mediated decreases in TNFα: emphasizing the role of the TLR4-PI3K/AKT-NF-κB pathway. Journal of Asian Natural Products Research. 17(6). 662–670. 12 indexed citations
16.
Li, Gang, Zhenzhen Wang, Haijie Ji, et al.. (2014). The chemokine-like factor 1 induces asthmatic pathological change by activating nuclear factor-κB signaling pathway. International Immunopharmacology. 20(1). 81–88. 16 indexed citations
17.
Wei, Wei, et al.. (2014). Polygalasaponin F inhibits secretion of inflammatory cytokines via NF-κB pathway regulation. Journal of Asian Natural Products Research. 16(8). 865–875. 8 indexed citations
18.
Li, Chuang‐Jun, Jingzhi Yang, Shi‐Shan Yu, et al.. (2011). Triterpenoid Saponins and Oligosaccharides from the roots of Polygala tenuifolia Willd.. Chinese Journal of Natural Medicines. 9(5). 321–328. 13 indexed citations
19.
Yuan, Yu‐He, Jiandong Sun, Ming Zhao, et al.. (2010). Overexpression of α-Synuclein Down-Regulates BDNF Expression. Cellular and Molecular Neurobiology. 30(6). 939–946. 56 indexed citations
20.
Wang, Zhen‐Zhen, Gang Li, Xiaoyu Chen, et al.. (2009). Chemokine-like factor 1, a novel cytokine, induces nerve cell migration through the non-extracellular Ca2+-dependent tyrosine kinases pathway. Brain Research. 1308. 24–34. 18 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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