Xi‐Peng Cao

4.4k total citations · 2 hit papers
61 papers, 2.9k citations indexed

About

Xi‐Peng Cao is a scholar working on Physiology, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Xi‐Peng Cao has authored 61 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Physiology, 20 papers in Psychiatry and Mental health and 18 papers in Neurology. Recurrent topics in Xi‐Peng Cao's work include Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (18 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Xi‐Peng Cao is often cited by papers focused on Alzheimer's disease research and treatments (29 papers), Dementia and Cognitive Impairment Research (18 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). Xi‐Peng Cao collaborates with scholars based in China, United States and Hong Kong. Xi‐Peng Cao's co-authors include Lan Tan, Jin‐Tai Yu, Wei Xu, Chen‐Chen Tan, Meng‐Shan Tan, Ya‐Nan Ou, Lin Tan, Can Zhang, Mei Xue and Hao Hu and has published in prestigious journals such as Journal of Neurochemistry, Journal of Neurology Neurosurgery & Psychiatry and Neurobiology of Aging.

In The Last Decade

Xi‐Peng Cao

61 papers receiving 2.9k citations

Hit Papers

Diabetes mellitus and risks of cognitive impairment and d... 2019 2026 2021 2023 2019 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xi‐Peng Cao China 26 1.1k 747 661 535 305 61 2.9k
Jin‐Tai Yu China 28 804 0.8× 653 0.9× 395 0.6× 421 0.8× 226 0.7× 155 2.5k
Timothy J. Hohman United States 31 1.1k 1.1× 1.1k 1.5× 514 0.8× 613 1.1× 522 1.7× 174 3.2k
Claudia L. Satizábal United States 30 971 0.9× 1.0k 1.3× 506 0.8× 345 0.6× 339 1.1× 122 3.4k
Julius Popp Switzerland 36 1.5k 1.4× 1.0k 1.3× 513 0.8× 946 1.8× 451 1.5× 112 4.2k
Yifeng Du China 27 896 0.8× 617 0.8× 520 0.8× 952 1.8× 288 0.9× 147 3.2k
Christian Bocti Canada 28 1.8k 1.6× 745 1.0× 499 0.8× 742 1.4× 355 1.2× 82 3.3k
Cláudia Kimie Suemoto Brazil 35 1.6k 1.5× 1.2k 1.6× 819 1.2× 739 1.4× 567 1.9× 258 4.7k
Michael Malek‐Ahmadi United States 27 924 0.9× 825 1.1× 422 0.6× 374 0.7× 299 1.0× 95 2.2k
Chen‐Chen Tan China 31 1.6k 1.5× 1.4k 1.8× 820 1.2× 1.0k 1.9× 414 1.4× 115 4.6k
Alfredo Costa Italy 32 1.1k 1.0× 1.3k 1.7× 387 0.6× 552 1.0× 240 0.8× 168 4.1k

Countries citing papers authored by Xi‐Peng Cao

Since Specialization
Citations

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

Fields of papers citing papers by Xi‐Peng Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xi‐Peng Cao. 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 Xi‐Peng Cao. The network helps show where Xi‐Peng Cao may publish in the future.

Co-authorship network of co-authors of Xi‐Peng Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Xi‐Peng Cao. A scholar is included among the top collaborators of Xi‐Peng Cao 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 Xi‐Peng Cao. Xi‐Peng Cao 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.
Zhao, Yongli, Yi‐Jun Ge, Yi Zhang, et al.. (2025). Variables associated with cognitive function: an exposome-wide and mendelian randomization analysis. Alzheimer s Research & Therapy. 17(1). 13–13. 1 indexed citations
2.
Wang, Lina, Xiaoying Chen, Wei Han, et al.. (2023). Congenital central hypoventilation syndrome in Chinese population: Analysis of three new cases and review of the literature. Molecular Genetics & Genomic Medicine. 11(12). e2267–e2267. 2 indexed citations
3.
Fu, Yan, Zuo-Teng Wang, Liangyu Huang, et al.. (2022). Heart fatty acid-binding protein is associated with phosphorylated tau and longitudinal cognitive changes. Frontiers in Aging Neuroscience. 14. 1008780–1008780. 1 indexed citations
4.
Tang, Lian, Zhibo Wang, Lingzhi Ma, et al.. (2022). Dynamic changes of CSF clusterin levels across the Alzheimer’s disease continuum. BMC Neurology. 22(1). 508–508. 9 indexed citations
5.
Xiang, Shuai, Sha Li, Xi‐Peng Cao, et al.. (2022). Efficacy and Safety of Probiotics for the Treatment of Alzheimer's Disease, Mild Cognitive Impairment, and Parkinson's Disease: A Systematic Review and Meta-Analysis. Frontiers in Aging Neuroscience. 14. 730036–730036. 60 indexed citations
6.
Shi, Yongmei, et al.. (2022). A Panel of E2F Target Gene Signature Predicting the Prognosis of Hepatocellular Carcinoma. Frontiers in Genetics. 13. 879299–879299. 7 indexed citations
7.
Xu, Wei, Chen‐Chen Tan, Xi‐Peng Cao, & Lan Tan. (2021). Neuroinflammation modulates the association of PGRN with cerebral amyloid-β burden. Neurobiology of Aging. 103. 52–59. 5 indexed citations
8.
Hou, Xiao‐He, Ya‐Hui Ma, Xue‐Ning Shen, et al.. (2020). Association of peripheral neutrophil count with intracranial atherosclerotic stenosis. BMC Neurology. 20(1). 65–65. 11 indexed citations
10.
Guo, Yu, Fengtao Liu, Xiao‐He Hou, et al.. (2020). Predictors of cognitive impairment in Parkinson’s disease: a systematic review and meta-analysis of prospective cohort studies. Journal of Neurology. 268(8). 2713–2722. 42 indexed citations
11.
Xue, Mei, Wei Xu, Ya‐Nan Ou, et al.. (2019). Diabetes mellitus and risks of cognitive impairment and dementia: A systematic review and meta-analysis of 144 prospective studies. Ageing Research Reviews. 55. 100944–100944. 419 indexed citations breakdown →
12.
Xu, Wei, Jieqiong Li, Chen‐Chen Tan, et al.. (2019). Genome-wide association study of cerebrospinal fluid neurofilament light levels in non-demented elders. Annals of Translational Medicine. 7(22). 657–657. 10 indexed citations
13.
Yan, Wenjing, Chen‐Chen Tan, Jieqiong Li, et al.. (2019). Common Variant in TREM1 Influencing Brain Amyloid Deposition in Mild Cognitive Impairment and Alzheimer’s Disease. Neurotoxicity Research. 37(3). 661–668. 11 indexed citations
15.
Xi, Ji, Xinyi Leng, Yi Dong, et al.. (2019). Modifiable risk factors for carotid atherosclerosis: a meta-analysis and systematic review. Annals of Translational Medicine. 7(22). 632–632. 46 indexed citations
16.
Zong, Yu, et al.. (2018). Microglial priming in Alzheimer’s disease. Annals of Translational Medicine. 6(10). 176–176. 87 indexed citations
17.
Hou, Xiao‐He, Lei Feng, Can Zhang, et al.. (2018). Models for predicting risk of dementia: a systematic review. Journal of Neurology Neurosurgery & Psychiatry. 90(4). 373–379. 132 indexed citations
18.
Tan, Lin, et al.. (2018). Clearance of Amyloid Beta and Tau in Alzheimer’s Disease: from Mechanisms to Therapy. Neurotoxicity Research. 34(3). 733–748. 155 indexed citations
19.
Li, Jieqiong, Haiyan Li, Xi‐Peng Cao, et al.. (2018). Genome-wide association study identifies two loci influencing plasma neurofilament light levels. BMC Medical Genomics. 11(1). 47–47. 15 indexed citations
20.
Kong, Lingli, Dan Miao, Lin Tan, et al.. (2018). Genome-wide association study identifies RBFOX1 locus influencing brain glucose metabolism. Annals of Translational Medicine. 6(22). 436–436. 13 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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