Xiaochun Chen

8.3k total citations · 2 hit papers
205 papers, 5.5k citations indexed

About

Xiaochun Chen is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Xiaochun Chen has authored 205 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 54 papers in Physiology and 30 papers in Neurology. Recurrent topics in Xiaochun Chen's work include Alzheimer's disease research and treatments (33 papers), Parkinson's Disease Mechanisms and Treatments (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (21 papers). Xiaochun Chen is often cited by papers focused on Alzheimer's disease research and treatments (33 papers), Parkinson's Disease Mechanisms and Treatments (25 papers) and Neuroinflammation and Neurodegeneration Mechanisms (21 papers). Xiaochun Chen collaborates with scholars based in China, United States and Japan. Xiaochun Chen's co-authors include Yuangui Zhu, Jing Zhang, Xiaodong Pan, Qinyong Ye, Xiaoman Dai, Xilin Wu, Tianwen Huang, Jun O. Liu, Wenting Fang and Nan Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaochun Chen

195 papers receiving 5.4k citations

Hit Papers

TREM2 Is a Receptor for β-Amyloid that Mediates Microglia... 2018 2026 2020 2023 2018 2023 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaochun Chen China 41 2.2k 1.7k 1.2k 687 484 205 5.5k
Jun Tan United States 35 1.6k 0.7× 2.5k 1.5× 1.8k 1.5× 649 0.9× 693 1.4× 61 5.4k
Qian Wang China 38 2.2k 1.0× 1.2k 0.7× 1.1k 1.0× 732 1.1× 726 1.5× 238 6.1k
Dan Zhang China 40 2.5k 1.2× 863 0.5× 1.1k 1.0× 534 0.8× 323 0.7× 201 5.6k
Zhiyou Cai China 38 1.6k 0.7× 1.8k 1.1× 1.2k 1.1× 715 1.0× 424 0.9× 105 5.2k
Ágnes Simonyi United States 43 2.4k 1.1× 1.6k 1.0× 1.5k 1.3× 1.5k 2.1× 300 0.6× 96 6.4k
Yujun Hou China 17 2.1k 1.0× 1.7k 1.0× 877 0.7× 499 0.7× 440 0.9× 27 5.0k
Yan Wu China 40 1.9k 0.9× 963 0.6× 1.1k 1.0× 1.2k 1.8× 337 0.7× 170 5.5k
Carlos‐Alberto Gonçalves Brazil 37 1.6k 0.7× 1.1k 0.7× 1.0k 0.9× 701 1.0× 627 1.3× 147 4.1k
Francesca Bosetti United States 39 1.5k 0.7× 1.2k 0.7× 1.4k 1.2× 725 1.1× 576 1.2× 68 4.9k
Myeong Ok Kim South Korea 53 3.4k 1.6× 2.1k 1.2× 1.5k 1.3× 1.0k 1.5× 763 1.6× 184 8.7k

Countries citing papers authored by Xiaochun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaochun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaochun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaochun Chen. A scholar is included among the top collaborators of Xiaochun Chen 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 Xiaochun Chen. Xiaochun Chen 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
2.
Wang, Yumei, et al.. (2025). The drug discovery and therapeutic nano-strategies targeting cellular senescence. Materials Today Bio. 35. 102480–102480.
3.
Lin, Fabin, Jiaqi Su, Li‐Jun Wan, et al.. (2024). Cortical thickness and white matter microstructure predict freezing of gait development in Parkinson’s disease. npj Parkinson s Disease. 10(1). 16–16. 5 indexed citations
4.
Lin, Fabin, You‐Sheng Cai, Ying-Qing Wang, et al.. (2024). Accelerated biological aging as potential mediator mediates the relationship between pro-inflammatory diets and the risk of depression and anxiety: A prospective analysis from the UK biobank. Journal of Affective Disorders. 355. 1–11. 11 indexed citations
5.
Shi, Jiong, Qishui Ou, & Xiaochun Chen. (2024). Blood-based biomarkers of Alzheimer’s disease—A guideline for clinical use. SHILAP Revista de lepidopterología. 1(4). 100057–100057. 1 indexed citations
7.
Zeng, Yuqi, Chaodong Wang, Lina Chen, et al.. (2024). Associative role of HLA-DRB1 as a protective factor for susceptibility and progression of Parkinson’s disease: a Chinese cross-sectional and longitudinal study. Frontiers in Aging Neuroscience. 16. 1361492–1361492. 1 indexed citations
8.
Zhang, Yusi, Wenting Fang, Yu Wang, et al.. (2023). ApoE4 exacerbates the senescence of hippocampal neurons and spatial cognitive impairment by downregulating acetyl‐CoA level. Aging Cell. 22(9). e13932–e13932. 14 indexed citations
9.
Weng, Huidan, Yunqian Guan, Guoen Cai, et al.. (2023). Proteomic profiling reveals the potential mechanisms and regulatory targets of sirtuin 4 in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced Parkinson’s mouse model. Frontiers in Neuroscience. 16. 1035444–1035444. 7 indexed citations
10.
Zhong, Li, Yanzhong Li, Rengong Zhuo, et al.. (2023). TREM2 receptor protects against complement-mediated synaptic loss by binding to complement C1q during neurodegeneration. Immunity. 56(8). 1794–1808.e8. 80 indexed citations
11.
Huang, Weibin, Wenting Fang, Xiaoman Dai, et al.. (2023). ACSS2-dependent histone acetylation improves cognition in mouse model of Alzheimer’s disease. Molecular Neurodegeneration. 18(1). 47–47. 39 indexed citations
12.
Lin, Fabin, Yueping Li, Ying-Qing Wang, et al.. (2023). Association of pro-inflammatory diet with increased risk of all-cause dementia and Alzheimer's dementia: a prospective study of 166,377 UK Biobank participants. BMC Medicine. 21(1). 266–266. 44 indexed citations
14.
Lin, Xiang, Junyi Jiang, Daojun Hong, et al.. (2023). Biallelic COQ4 Variants in Hereditary Spastic Paraplegia: Clinical and Molecular Characterization. Movement Disorders. 39(1). 152–163. 3 indexed citations
15.
Gao, Weijie, Guirong Zeng, Qinyong Ye, et al.. (2023). HnRNPK is involved in stress-induced depression-like behavior via ERK-BDNF pathway in mice. Neurochemistry International. 169. 105589–105589. 3 indexed citations
16.
Zeng, Guirong, Wenting Fang, Weibin Huang, et al.. (2020). Increased Notch2/NF-κB Signaling May Mediate the Depression Susceptibility: Evidence from Chronic Social Defeat Stress Mice and WKY Rats. Physiology & Behavior. 228. 113197–113197. 13 indexed citations
17.
Zhao, Yingjun, Xilin Wu, Xiaoguang Li, et al.. (2018). TREM2 Is a Receptor for β-Amyloid that Mediates Microglial Function. Neuron. 97(5). 1023–1031.e7. 519 indexed citations breakdown →
19.
Chen, Xiaochun, Curtis R. Chong, Lirong Shi, et al.. (2006). Inhibitors of Plasmodium falciparum methionine aminopeptidase 1b possess antimalarial activity. Proceedings of the National Academy of Sciences. 103(39). 14548–14553. 82 indexed citations
20.
Wang, Xiaozhong, et al.. (2000). Relationship between HBxAg and Fas/FasL in patients with hepatocellular carcinoma. World Journal of Gastroenterology. 6. 27–27. 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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