Chunhui Yang

846 total citations
30 papers, 608 citations indexed

About

Chunhui Yang is a scholar working on Neurology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Chunhui Yang has authored 30 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 9 papers in Epidemiology and 5 papers in Infectious Diseases. Recurrent topics in Chunhui Yang's work include Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Antifungal resistance and susceptibility (4 papers). Chunhui Yang is often cited by papers focused on Neurological disorders and treatments (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Antifungal resistance and susceptibility (4 papers). Chunhui Yang collaborates with scholars based in China, United States and Russia. Chunhui Yang's co-authors include Lei Yan, Jianguo Tang, Julie A. Schneider, Guoqiang Xing, Steven M. Greenberg, Lei Zhang, Matt T. Bianchi, Ajay Verma, Xiaolong Jiang and He Li and has published in prestigious journals such as ACS Nano, Neurology and Scientific Reports.

In The Last Decade

Chunhui Yang

28 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chunhui Yang China 10 127 123 110 108 107 30 608
Ágnes Szabó Hungary 14 65 0.5× 65 0.5× 101 0.9× 146 1.4× 98 0.9× 41 972
Jianhong Wang China 16 51 0.4× 80 0.7× 57 0.5× 236 2.2× 85 0.8× 57 827
Thomas Demuyser Belgium 15 63 0.5× 69 0.6× 53 0.5× 129 1.2× 138 1.3× 48 554
Yumei Guo United States 14 65 0.5× 97 0.8× 251 2.3× 323 3.0× 128 1.2× 26 1.1k
Karen Torres Brazil 16 109 0.9× 36 0.3× 119 1.1× 157 1.5× 117 1.1× 41 655
Su Jeong You South Korea 15 110 0.9× 61 0.5× 59 0.5× 71 0.7× 148 1.4× 36 720
Murielle Girard France 16 87 0.7× 31 0.3× 219 2.0× 152 1.4× 118 1.1× 48 672
Meenakshi Rao United States 19 143 1.1× 136 1.1× 80 0.7× 624 5.8× 165 1.5× 43 1.6k

Countries citing papers authored by Chunhui Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chunhui Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunhui Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Chunhui Yang. A scholar is included among the top collaborators of Chunhui Yang 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 Chunhui Yang. Chunhui Yang 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.
Zhu, Haohao, Yuting Sun, Sophia Shen, et al.. (2025). Clinical manifestations of anxiety and depression in sepsis-associated encephalopathy and multi-omics identification of cluster of differentiation 38 as an early biomarker. World Journal of Psychiatry. 15(6). 105889–105889. 2 indexed citations
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Qu, Haijing, Jie Wu, Yuqing Pan, et al.. (2024). Biomimetic Nanomodulator Regulates Oxidative and Inflammatory Stresses to Treat Sepsis-Associated Encephalopathy. ACS Nano. 18(41). 28228–28245. 17 indexed citations
5.
Luo, Lin, et al.. (2024). Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms. Scientific Reports. 14(1). 26979–26979. 4 indexed citations
6.
Zhao, Weiwei, Chunhui Yang, Luguang Chen, et al.. (2023). Relationship Between Iron Distribution in Deep Gray Matter Nuclei Measured by Quantitative Susceptibility Mapping and Motor Outcome After Deep Brain Stimulation in Patients With Parkinson's Disease. Journal of Magnetic Resonance Imaging. 58(2). 581–590. 3 indexed citations
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Lamichhane, Bidhan, Matthew F. Glasser, Justin K. Zhang, et al.. (2020). Multi-modal biomarkers of low back pain: A machine learning approach. NeuroImage Clinical. 29. 102530–102530. 39 indexed citations
9.
Xu, Jinyu, Jiali Wang, Mingyang Zhang, et al.. (2020). Management of Parkinson's disease patients after DBS by remote programming: preliminary application of single center during quarantine of 2019-nCoV. Journal of Neurology. 268(4). 1295–1303. 18 indexed citations
10.
Yang, Chunhui, Sukriti Nag, Guoqiang Xing, Neelum T. Aggarwal, & Julie A. Schneider. (2020). A Clinicopathological Report of a 93-Year-Old Former Street Boxer With Coexistence of Chronic Traumatic Encephalopathy, Alzheimer's Disease, Dementia With Lewy Bodies, and Hippocampal Sclerosis With TDP-43 Pathology. Frontiers in Neurology. 11. 42–42. 14 indexed citations
11.
Yang, Chunhui, Yiqing Qiu, Xiaowu Hu, et al.. (2020). The Effect of High‐Frequency Electrical Stimulation of Bilateral Nucleus Accumbens on the Behavior of Morphine‐Induced Conditioned Place Preference Rats at Extinction and Reinstatement Phases. Evidence-based Complementary and Alternative Medicine. 2020(1). 8232809–8232809. 5 indexed citations
12.
Yang, Chunhui, et al.. (2017). Deep brain stimulation of bilateral nucleus accumbens at high frequency inhibits addiction behavior extinction in rats. Chin J Neurol. 50(5). 342–347. 1 indexed citations
13.
Bai, Jie, Wei Peng, Ning Zhao, et al.. (2016). A study of mild cognitive impairment in veterans: role of hypertension and other confounding factors. Aging Neuropsychology and Cognition. 23(6). 703–715. 7 indexed citations
14.
Yan, Lei, et al.. (2016). Effect of Candida albicans on Intestinal Ischemia-reperfusion Injury in Rats. Chinese Medical Journal. 129(14). 1711–1718. 6 indexed citations
15.
Zhao, Xiangwang, Lei Yan, Dan Xu, et al.. (2016). Enterogenous infection of Candida albicans in immunocompromised rats under severe acute pancreatitis. World Journal of Emergency Medicine. 7(4). 294–294. 1 indexed citations
16.
Westover, M. Brandon, Matt T. Bianchi, Chunhui Yang, Julie A. Schneider, & Steven M. Greenberg. (2013). Estimating cerebral microinfarct burden from autopsy samples. Neurology. 80(15). 1365–1369. 99 indexed citations
17.
Yan, Lei, Chunhui Yang, & Jianguo Tang. (2013). Disruption of the intestinal mucosal barrier in Candida albicans infections. Microbiological Research. 168(7). 389–395. 95 indexed citations
18.
Kantarci, Kejal, Chunhui Yang, Julie A. Schneider, et al.. (2010). Ante mortem amyloid imaging and β-amyloid pathology in a case with dementia with Lewy bodies. Neurobiology of Aging. 33(5). 878–885. 58 indexed citations
19.
Jiang, Xiaolong, Guoqiang Xing, Chunhui Yang, et al.. (2008). Stress Impairs 5-HT2A Receptor-Mediated Serotonergic Facilitation of GABA Release in Juvenile Rat Basolateral Amygdala. Neuropsychopharmacology. 34(2). 410–423. 117 indexed citations
20.
Kipnis, Jonathan, Noel Derecki, Chunhui Yang, & Heidi Scrable. (2008). Immunity and cognition: what do age-related dementia, HIV-dementia and ‘chemo-brain’ have in common?. Trends in Immunology. 29(10). 455–463. 66 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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