Chunming Xie

6.1k total citations
120 papers, 3.2k citations indexed

About

Chunming Xie is a scholar working on Cognitive Neuroscience, Psychiatry and Mental health and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chunming Xie has authored 120 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Cognitive Neuroscience, 32 papers in Psychiatry and Mental health and 30 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chunming Xie's work include Functional Brain Connectivity Studies (81 papers), Dementia and Cognitive Impairment Research (29 papers) and Mental Health Research Topics (25 papers). Chunming Xie is often cited by papers focused on Functional Brain Connectivity Studies (81 papers), Dementia and Cognitive Impairment Research (29 papers) and Mental Health Research Topics (25 papers). Chunming Xie collaborates with scholars based in China, United States and United Kingdom. Chunming Xie's co-authors include Zhijun Zhang, Gang Chen, Yonggui Yuan, Shi‐Jiang Li, Piero Antuono, B. Douglas Ward, Haisan Zhang, Feng Bai, Jennifer Jones and Malgorzata Franczak and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Chunming Xie

115 papers receiving 3.2k citations

Peers

Chunming Xie
Chuanjun Zhuo China
Luxian Lv China
Sanjeev Vaishnavi United States
Markus Jäger Germany
Vanessa Cropley Australia
Oluwaseun Akeju United States
Xiangling Mao United States
P. Simon Jones United Kingdom
Chuanjun Zhuo China
Chunming Xie
Citations per year, relative to Chunming Xie Chunming Xie (= 1×) peers Chuanjun Zhuo

Countries citing papers authored by Chunming Xie

Since Specialization
Citations

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

Fields of papers citing papers by Chunming Xie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunming Xie

This figure shows the co-authorship network connecting the top 25 collaborators of Chunming Xie. A scholar is included among the top collaborators of Chunming Xie 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 Chunming Xie. Chunming Xie 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.
Ge, Kezhen, et al.. (2025). Engineering EVs‐Mediated mRNA Delivery Regulates Microglia Function and Alleviates Depressive‐Like Behaviors. Advanced Materials. 37(9). e2418872–e2418872. 5 indexed citations
2.
3.
Xie, Zheng, et al.. (2024). Association between ZJU index and gallstones in US adult: a cross-sectional study of NHANES 2017–2020. BMC Gastroenterology. 24(1). 458–458. 4 indexed citations
4.
He, Cancan, Qing Wang, Dandan Fan, et al.. (2024). MicroRNA-124 influenced depressive symptoms via large-scale brain connectivity in major depressive disorder patients. Asian Journal of Psychiatry. 95. 104025–104025. 5 indexed citations
5.
Liu, Xinyi, et al.. (2024). Thalamic Volumes and Functional Networks Linked With Self‐Regulation Dysfunction in Major Depressive Disorder. CNS Neuroscience & Therapeutics. 30(11). e70116–e70116.
6.
Duan, Chenlong, et al.. (2024). Construction of a Rehabilitation Intelligent Monitoring System based on Computer Vision. 1–5. 1 indexed citations
7.
Jiang, Wenhao, Fan Li, Xiaoyun Liu, et al.. (2023). Linking individual variability in functional brain connectivity to polygenic risk in major depressive disorder. Journal of Affective Disorders. 329. 55–63. 11 indexed citations
8.
Zhang, Li, Xiaoyun Liu, Xiaoke Hao, et al.. (2023). Incorporating multi-stage diagnosis status to mine associations between genetic risk variants and the multi-modality phenotype network in major depressive disorder. Frontiers in Psychiatry. 14. 1139451–1139451. 4 indexed citations
9.
He, Cancan, Ying Bai, Zan Wang, et al.. (2020). Identification of microRNA-9 linking the effects of childhood maltreatment on depression using amygdala connectivity. NeuroImage. 224. 117428–117428. 39 indexed citations
10.
Huang, Rongrong, Yuan Zhang, Ying Bai, et al.. (2020). N6-Methyladenosine Modification of Fatty Acid Amide Hydrolase Messenger RNA in Circular RNA STAG1–Regulated Astrocyte Dysfunction and Depressive-like Behaviors. Biological Psychiatry. 88(5). 392–404. 127 indexed citations
11.
Shen, Yang, Jun Hu, Yong Chen, et al.. (2020). Levodopa Changes Functional Connectivity Patterns in Subregions of the Primary Motor Cortex in Patients With Parkinson’s Disease. Frontiers in Neuroscience. 14. 647–647. 17 indexed citations
12.
Liu, Xinyi, Cancan He, Dandan Fan, et al.. (2020). Disrupted rich-club network organization and individualized identification of patients with major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 108. 110074–110074. 30 indexed citations
13.
Wang, Qing, et al.. (2020). Dynamic Connectivity Alteration Facilitates Cognitive Decline in Alzheimer's Disease Spectrum. Brain Connectivity. 11(3). 213–224. 8 indexed citations
14.
Li, Yanzhi, Zhengsheng Zhang, Feng Bai, et al.. (2017). Genetic variation in angiotensin converting-enzyme affects the white matter integrity and cognitive function of amnestic mild cognitive impairment patients. Journal of the Neurological Sciences. 380. 177–181. 6 indexed citations
15.
Gong, Liang, Zhenghua Hou, Zan Wang, et al.. (2017). Disrupted topology of hippocampal connectivity is associated with short-term antidepressant response in major depressive disorder. Journal of Affective Disorders. 225. 539–544. 25 indexed citations
16.
Ye, Qing, Fan Su, Hao Shu, et al.. (2017). Shared effects of the clusterin gene on the default mode network among individuals at risk for Alzheimer's disease. CNS Neuroscience & Therapeutics. 23(5). 395–404. 12 indexed citations
17.
Gong, Liang, Yingying Yin, Cancan He, et al.. (2016). Disrupted reward circuits is associated with cognitive deficits and depression severity in major depressive disorder. Journal of Psychiatric Research. 84. 9–17. 70 indexed citations
18.
Zhang, Zhengsheng, Hui Yu, Yongmei Shi, et al.. (2012). Association of angiotensin-converting enzyme functional gene I/D polymorphism with amnestic mild cognitive impairment. Neuroscience Letters. 514(1). 131–135. 15 indexed citations
19.
Chen, Guangyu, et al.. (2011). Negative Functional Connectivity and Its Dependence on the Shortest Path Length of Positive Network in the Resting-State Human Brain. Brain Connectivity. 1(3). 195–206. 89 indexed citations
20.
Zhang, Xiaobin, Zhijun Zhang, Chunming Xie, et al.. (2008). Effect of treatment on serum glial cell line-derived neurotrophic factor in depressed patients. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 32(3). 886–890. 72 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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