Yunpeng Sun

2.0k total citations
24 papers, 1.2k citations indexed

About

Yunpeng Sun is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Yunpeng Sun has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Physiology, 12 papers in Molecular Biology and 11 papers in Neurology. Recurrent topics in Yunpeng Sun's work include Alzheimer's disease research and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Prion Diseases and Protein Misfolding (5 papers). Yunpeng Sun is often cited by papers focused on Alzheimer's disease research and treatments (12 papers), Parkinson's Disease Mechanisms and Treatments (10 papers) and Prion Diseases and Protein Misfolding (5 papers). Yunpeng Sun collaborates with scholars based in China, Thailand and United States. Yunpeng Sun's co-authors include Cong Liu, Dan Li, Kun Zhao, Huimin Ran, Gregory A. Grabowski, David P. Witte, Youqi Tao, Houfang Long, Wencheng Xia and Zhenying Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Yunpeng Sun

24 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunpeng Sun China 20 647 549 440 233 117 24 1.2k
Ricardo Gaspar Sweden 11 657 1.0× 706 1.3× 582 1.3× 122 0.5× 111 0.9× 15 1.3k
Laura Tosatto Italy 17 528 0.8× 563 1.0× 481 1.1× 134 0.6× 94 0.8× 24 1.2k
Igor Dikiy United States 14 470 0.7× 598 1.1× 824 1.9× 217 0.9× 125 1.1× 20 1.4k
Carla C. Rospigliosi United States 9 515 0.8× 504 0.9× 817 1.9× 134 0.6× 114 1.0× 10 1.4k
Daniel Ysselstein United States 16 518 0.8× 692 1.3× 523 1.2× 369 1.6× 110 0.9× 26 1.5k
Christopher J.R. Dunning Sweden 10 468 0.7× 862 1.6× 260 0.6× 118 0.5× 168 1.4× 13 1.3k
Shulin Ju United States 14 300 0.5× 556 1.0× 464 1.1× 134 0.6× 69 0.6× 17 1.1k
Gudrun Heim Germany 8 374 0.6× 546 1.0× 391 0.9× 81 0.3× 53 0.5× 8 1.0k
Therése Klingstedt Sweden 16 616 1.0× 444 0.8× 152 0.3× 79 0.3× 109 0.9× 33 1.1k
Lise Giehm Denmark 12 477 0.7× 547 1.0× 420 1.0× 88 0.4× 54 0.5× 17 1.0k

Countries citing papers authored by Yunpeng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yunpeng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunpeng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yunpeng Sun. A scholar is included among the top collaborators of Yunpeng Sun 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 Yunpeng Sun. Yunpeng Sun 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.
Zhang, Xinyi, Shuang Zhang, Yunpeng Sun, et al.. (2025). Chaperone-mediated autophagy manipulates PGC1α stability and governs energy metabolism under thermal stress. Nature Communications. 16(1). 4455–4455. 2 indexed citations
2.
Tao, Youqi, Peng Xu, Shenqing Zhang, et al.. (2024). Time-course remodeling and pathology intervention of α-synuclein amyloid fibril by heparin and heparin-like oligosaccharides. Nature Structural & Molecular Biology. 32(2). 369–380. 8 indexed citations
3.
Hu, Jin‐Jian, Wencheng Xia, Yeh‐Jun Lim, et al.. (2024). Phosphorylation and O-GlcNAcylation at the same α-synuclein site generate distinct fibril structures. Nature Communications. 15(1). 2677–2677. 29 indexed citations
4.
Xia, Yuanliang, et al.. (2024). Role of Treg cell subsets in cardiovascular disease pathogenesis and potential therapeutic targets. Frontiers in Immunology. 15. 1331609–1331609. 17 indexed citations
5.
Ma, Yeyang, et al.. (2023). Protein amyloid aggregate: Structure and function. SHILAP Revista de lepidopterología. 4(4). 38 indexed citations
6.
Long, Houfang, et al.. (2022). Biochemical and biophysical characterization of pathological aggregation of amyloid proteins. Biophysics Reports. 8(1). 42–54. 5 indexed citations
7.
Li, Xiang, Shenqing Zhang, Zhengtao Liu, et al.. (2022). Subtle change of fibrillation condition leads to substantial alteration of recombinant Tau fibril structure. iScience. 25(12). 105645–105645. 22 indexed citations
8.
Fan, Yun, Yunpeng Sun, Wenbo Yu, et al.. (2022). Conformational change of α-synuclein fibrils in cerebrospinal fluid from different clinical phases of Parkinson’s disease. Structure. 31(1). 78–87.e5. 36 indexed citations
9.
Long, Houfang, Yang Liu, Yunpeng Sun, et al.. (2021). Wild-type α-synuclein inherits the structure and exacerbated neuropathology of E46K mutant fibril strain by cross-seeding. Proceedings of the National Academy of Sciences. 118(20). 43 indexed citations
10.
Wang, Liqiang, Kun Zhao, Xiangning Li, et al.. (2021). Genetic prion disease–related mutation E196K displays a novel amyloid fibril structure revealed by cryo-EM. Science Advances. 7(37). eabg9676–eabg9676. 26 indexed citations
11.
Xia, Wencheng, Qikai Zhang, Xiaoya Wang, et al.. (2021). O-Glycosylation Induces Amyloid-β To Form New Fibril Polymorphs Vulnerable for Degradation. Journal of the American Chemical Society. 143(48). 20216–20223. 35 indexed citations
12.
Sun, Yunpeng, Houfang Long, Wencheng Xia, et al.. (2021). The hereditary mutation G51D unlocks a distinct fibril strain transmissible to wild-type α-synuclein. Nature Communications. 12(1). 6252–6252. 62 indexed citations
13.
Zhao, Kun, Yeh‐Jun Lim, Zhenying Liu, et al.. (2020). Parkinson’s disease-related phosphorylation at Tyr39 rearranges α-synuclein amyloid fibril structure revealed by cryo-EM. Proceedings of the National Academy of Sciences. 117(33). 20305–20315. 146 indexed citations
14.
Wang, Liqiang, Kun Zhao, Qiang Wang, et al.. (2020). Cryo-EM structure of an amyloid fibril formed by full-length human prion protein. Nature Structural & Molecular Biology. 27(6). 598–602. 106 indexed citations
15.
Zhao, Kun, Yaowang Li, Zhenying Liu, et al.. (2020). Parkinson’s disease associated mutation E46K of α-synuclein triggers the formation of a distinct fibril structure. Nature Communications. 11(1). 2643–2643. 108 indexed citations
16.
Sun, Yunpeng, Kun Zhao, Wencheng Xia, et al.. (2020). The nuclear localization sequence mediates hnRNPA1 amyloid fibril formation revealed by cryoEM structure. Nature Communications. 11(1). 6349–6349. 44 indexed citations
17.
Xu, Yuanhui, Yunpeng Sun, Huimin Ran, et al.. (2011). Accumulation and distribution of α-synuclein and ubiquitin in the CNS of Gaucher disease mouse models. Molecular Genetics and Metabolism. 102(4). 436–447. 119 indexed citations
19.
Sun, Yunpeng, Huimin Ran, Kazuyuki Kitatani, et al.. (2009). Specific saposin C deficiency: CNS impairment and acid  -glucosidase effects in the mouse. Human Molecular Genetics. 19(4). 634–647. 31 indexed citations
20.
Sun, Yunpeng, David P. Witte, Huimin Ran, et al.. (2008). Neurological deficits and glycosphingolipid accumulation in saposin B deficient mice. Human Molecular Genetics. 17(15). 2345–2356. 33 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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