Xiaosa Chi

829 total citations
37 papers, 550 citations indexed

About

Xiaosa Chi is a scholar working on Psychiatry and Mental health, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Xiaosa Chi has authored 37 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 8 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Xiaosa Chi's work include Epilepsy research and treatment (10 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Xiaosa Chi is often cited by papers focused on Epilepsy research and treatment (10 papers), Pharmacological Effects and Toxicity Studies (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Xiaosa Chi collaborates with scholars based in China, United Kingdom and Netherlands. Xiaosa Chi's co-authors include Dong Zhou, Jinmei Li, Cheng Huang, Le Zhang, Yadi Sun, Sijia Yin, Liang Kou, Hongyun Wei, W. Zou and Wen Ouyang and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Experimental Neurology.

In The Last Decade

Xiaosa Chi

37 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaosa Chi China 14 158 124 107 96 66 37 550
Mirela Cerghet United States 14 132 0.8× 210 1.7× 58 0.5× 79 0.8× 124 1.9× 38 881
Zucai Xu China 12 80 0.5× 226 1.8× 94 0.9× 146 1.5× 59 0.9× 64 491
S. Gauthier France 14 124 0.8× 82 0.7× 164 1.5× 97 1.0× 58 0.9× 37 604
Stig Wergeland Norway 21 165 1.0× 264 2.1× 82 0.8× 48 0.5× 126 1.9× 58 1.2k
Amir Ashraf‐Ganjouei Iran 16 162 1.0× 109 0.9× 57 0.5× 59 0.6× 76 1.2× 61 592
Guido Primiano Italy 16 186 1.2× 429 3.5× 78 0.7× 129 1.3× 54 0.8× 72 847
Ewa Bałkowiec-Iskra Poland 13 46 0.3× 111 0.9× 52 0.5× 115 1.2× 80 1.2× 31 663
Naomi Kanazawa Japan 17 342 2.2× 244 2.0× 110 1.0× 138 1.4× 32 0.5× 55 781
Е. И. Гусев Russia 14 102 0.6× 83 0.7× 87 0.8× 68 0.7× 142 2.2× 67 550
Georg Nübling Germany 14 232 1.5× 110 0.9× 37 0.3× 86 0.9× 63 1.0× 21 551

Countries citing papers authored by Xiaosa Chi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosa Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaosa Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaosa Chi. A scholar is included among the top collaborators of Xiaosa Chi 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 Xiaosa Chi. Xiaosa Chi 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.
Yin, Sijia, Xiaosa Chi, Fang Wan, et al.. (2024). TREM2 signaling in Parkinson’s disease: Regulation of microglial function and α-synuclein pathology. International Immunopharmacology. 143(Pt 2). 113446–113446. 5 indexed citations
2.
Wang, Yiming, W. Zou, Sijia Yin, et al.. (2024). Sleep, glymphatic system, and Parkinson’s disease. 4(4). 2 indexed citations
3.
Li, Yunna, Liang Kou, Sijia Yin, et al.. (2024). Plasma exosomes impair microglial degradation of α‐synuclein through V‐ATPase subunit V1G1. CNS Neuroscience & Therapeutics. 30(5). e14738–e14738. 3 indexed citations
4.
Zhang, Yuzhu, et al.. (2024). Metabolic profiling of idiopathic pulmonary fibrosis in a mouse model: implications for pathogenesis and biomarker discovery. Frontiers in Medicine. 11. 1410051–1410051. 1 indexed citations
5.
Kou, Liang, Xiaosa Chi, Yadi Sun, et al.. (2024). Circadian regulation of microglia function: Potential targets for treatment of Parkinson’s Disease. Ageing Research Reviews. 95. 102232–102232. 6 indexed citations
6.
Kou, Liang, Jing Li, W. Zou, et al.. (2024). Mitochondria-lysosome-extracellular vesicles axis and nanotheranostics in neurodegenerative diseases. Experimental Neurology. 376. 114757–114757. 1 indexed citations
7.
Li, Shaoke, et al.. (2023). Relationship between carotid intima‐media thickness (cIMT) and dual‐system imbalance in tobacco dependence: An rs‐fMRI research. Brain and Behavior. 13(7). e3059–e3059. 1 indexed citations
8.
Han, Chao, Fang Wan, Sijia Yin, et al.. (2022). Efficacy and safety of 3‐n‐butylphthalide for the treatment of cognitive impairment: A systematic review and meta‐analysis. CNS Neuroscience & Therapeutics. 28(11). 1706–1717. 14 indexed citations
9.
Kou, Liang, Xiaosa Chi, Yadi Sun, et al.. (2022). The circadian clock protein Rev-erbα provides neuroprotection and attenuates neuroinflammation against Parkinson’s disease via the microglial NLRP3 inflammasome. Journal of Neuroinflammation. 19(1). 133–133. 68 indexed citations
10.
Wang, Fangfang, et al.. (2022). Disturbance of serum lipid metabolites and potential biomarkers in the Bleomycin model of pulmonary fibrosis in young mice. BMC Pulmonary Medicine. 22(1). 176–176. 6 indexed citations
11.
Chi, Xiaosa, et al.. (2021). Bromodomain-containing protein 7 contributes to myocardial infarction-induced myocardial injury through activating Wnt/β-catenin signaling. Annals of Palliative Medicine. 10(10). 10756–10767. 1 indexed citations
12.
Chi, Xiaosa, et al.. (2020). Neuronal intranuclear inclusion disease with mental abnormality: a case report. BMC Neurology. 20(1). 356–356. 2 indexed citations
13.
Zhang, Le, Josemir W. Sander, Lan Zhang, et al.. (2017). Suicidality is a common and serious feature of anti-N-methyl-D-aspartate receptor encephalitis. Journal of Neurology. 264(12). 2378–2386. 10 indexed citations
14.
Huang, Cheng, Xiaosa Chi, Ni Chen, et al.. (2017). Putting the new ILAE classification of focal cortical dysplasia into practice in western China. Seizure. 51. 133–138. 2 indexed citations
15.
Liu, Xinyu, Xiaosa Chi, Le Zhang, et al.. (2017). Mitophagy in Refractory Temporal Lobe Epilepsy Patients with Hippocampal Sclerosis. Cellular and Molecular Neurobiology. 38(2). 479–486. 29 indexed citations
16.
Huang, Cheng, Xiaosa Chi, Rui Li, et al.. (2017). Inhibition of P2X7 Receptor Ameliorates Nuclear Factor-Kappa B Mediated Neuroinflammation Induced by Status Epilepticus in Rat Hippocampus. Journal of Molecular Neuroscience. 63(2). 173–184. 47 indexed citations
17.
Huang, Cheng, Yaohua Li, Ying Wang, et al.. (2016). Clinical features and prognosis of epilepsy in the elderly in western China. Seizure. 38. 26–31. 25 indexed citations
18.
Hao, Nanya, et al.. (2016). Status epilepticus in pregnant women with epilepsy after valproate adjustment: A case series. Seizure. 43. 39–41. 7 indexed citations
19.
He, Yazhou, Xin Hu, Xiaosa Chi, et al.. (2013). Association between RAD51 gene polymorphism (-135G/C) and susceptibility of myelodysplastic syndrome and acute leukemia: evidence based on a meta-analysis. Tumor Biology. 35(1). 615–621. 9 indexed citations
20.
He, Yazhou, Xiaosa Chi, Xiangbing Deng, et al.. (2013). NBS1 Glu185Gln polymorphism and cancer risk: update on current evidence. Tumor Biology. 35(1). 675–687. 6 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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