Shouzi Zhang

566 total citations
21 papers, 395 citations indexed

About

Shouzi Zhang is a scholar working on Cognitive Neuroscience, Neurology and Psychiatry and Mental health. According to data from OpenAlex, Shouzi Zhang has authored 21 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 5 papers in Neurology and 5 papers in Psychiatry and Mental health. Recurrent topics in Shouzi Zhang's work include Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and Alzheimer's disease research and treatments (4 papers). Shouzi Zhang is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Neural dynamics and brain function (4 papers) and Alzheimer's disease research and treatments (4 papers). Shouzi Zhang collaborates with scholars based in China, Australia and Canada. Shouzi Zhang's co-authors include Rui Li, Juan Li, Pengyun Wang, Rongqiao He, Juan Li, Hecheng Wang, Hui‐Jie Li, Dehua Chui, Weizhong Xiao and Tao Zhang and has published in prestigious journals such as PLoS ONE, Human Brain Mapping and Neurobiology of Aging.

In The Last Decade

Shouzi Zhang

21 papers receiving 387 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shouzi Zhang China 11 113 99 71 71 69 21 395
Ena Španić United States 8 103 0.9× 93 0.9× 36 0.5× 44 0.6× 66 1.0× 9 448
Gregory Lieberman United States 9 146 1.3× 77 0.8× 32 0.5× 82 1.2× 91 1.3× 11 429
Cüneyt Ünsal Türkiye 14 39 0.3× 63 0.6× 61 0.9× 54 0.8× 69 1.0× 17 488
Holger Kessler Germany 9 65 0.6× 360 3.6× 116 1.6× 187 2.6× 97 1.4× 17 567
Anna Maria Tartaglione Italy 14 126 1.1× 36 0.4× 148 2.1× 76 1.1× 127 1.8× 24 517
B Nucciarone Italy 4 132 1.2× 170 1.7× 17 0.2× 17 0.2× 110 1.6× 5 461
Elisabetta Broggio Italy 16 59 0.5× 202 2.0× 11 0.2× 27 0.4× 78 1.1× 21 502
Ya Luo China 13 212 1.9× 28 0.3× 45 0.6× 22 0.3× 49 0.7× 22 449
Jeffery C. Batis United States 10 108 1.0× 86 0.9× 58 0.8× 17 0.2× 168 2.4× 15 462
Craig T. Vollert United States 6 84 0.7× 87 0.9× 19 0.3× 15 0.2× 39 0.6× 10 332

Countries citing papers authored by Shouzi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Shouzi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shouzi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Shouzi Zhang. A scholar is included among the top collaborators of Shouzi Zhang 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 Shouzi Zhang. Shouzi Zhang 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.
Wang, Junting, Yirui Zhu, Hao Zhang, et al.. (2025). Targeting the glymphatic system: Aβ accumulation and phototherapy strategies across different stages of Alzheimer’s disease. Translational Neurodegeneration. 14(1). 49–49. 1 indexed citations
2.
Zhang, Shouzi, Lixin Liu, Li Zhang, et al.. (2023). Evaluating the treatment outcomes of repetitive transcranial magnetic stimulation in patients with moderate-to-severe Alzheimer’s disease. Frontiers in Aging Neuroscience. 14. 1070535–1070535. 8 indexed citations
3.
Zhang, Shouzi, Yuanyuan Wang, Lixin Liu, et al.. (2021). Case Report of a pathologically confirmed vascular parkinsonism with early cognitive impairment and Behavioral disturbance. BMC Neurology. 21(1). 15–15. 4 indexed citations
4.
Zhang, Haifeng, Yuanyuan Wang, Yanjun Guo, et al.. (2021). The Significance of EEG Alpha Oscillation Spectral Power and Beta Oscillation Phase Synchronization for Diagnosing Probable Alzheimer Disease. Frontiers in Aging Neuroscience. 13. 631587–631587. 21 indexed citations
6.
Lu, Yuxuan, Haiqiang Jin, Jun Xu, et al.. (2021). Impact of Increased Hemoglobin on Spontaneous Intracerebral Hemorrhage. Neurocritical Care. 36(2). 395–403. 2 indexed citations
7.
Zhang, Shouzi, Xiang Li, Li Zhang, et al.. (2020). Identification of a Rare PSEN1 Mutation (Thr119Ile) in Late-Onset Alzheimer’s Disease With Early Presentation of Behavioral Disturbance. Frontiers in Psychiatry. 11. 347–347. 7 indexed citations
8.
Wang, Yuanyuan, Shouzi Zhang, Yanjun Guo, et al.. (2020). The Validation of Multifactor Model of Plasma Aβ42 and Total-Tau in Combination With MoCA for Diagnosing Probable Alzheimer Disease. Frontiers in Aging Neuroscience. 12. 212–212. 27 indexed citations
9.
Lyu, Jihui, Lexiang Yu, Yingge He, et al.. (2019). A Brief Study of the Correlation of Urine D-ribose with MMSE Scores of Patients with Alzheimer’s Disease and Cognitively Normal Participants. 4(1). 18–23. 6 indexed citations
10.
Chan, Daniel Kam Yin, Shouzi Zhang, Yvonne Liu, et al.. (2019). Effectiveness and analysis of factors predictive of discharge to home in a 4‐year cohort in a residential transitional care unit. Aging Medicine. 2(3). 162–167. 4 indexed citations
11.
Zheng, Zhiwei, et al.. (2018). Intrinsic spontaneous brain activity predicts individual variability in associative memory in older adults. PsyCh Journal. 7(2). 77–91. 16 indexed citations
13.
Li, Xiaoling, Xiaoquan Zhu, Wandong Zhang, et al.. (2018). The etiological effect of a new low-frequency ESR1 variant on Mild Cognitive Impairment and Alzheimer’s Disease: a population-based study. Aging. 10(9). 2316–2337. 10 indexed citations
14.
Zheng, Zhiwei, et al.. (2017). Sex Matters: Hippocampal Volume Predicts Individual Differences in Associative Memory in Cognitively Normal Older Women but Not Men. Frontiers in Human Neuroscience. 11. 93–93. 14 indexed citations
16.
Tong, Zhiqian, Chanshuai Han, Min Qiang, et al.. (2014). Age-related formaldehyde interferes with DNA methyltransferase function, causing memory loss in Alzheimer's disease. Neurobiology of Aging. 36(1). 100–110. 81 indexed citations
17.
Yang, Huan, Xiaosheng Tian, Hecheng Wang, et al.. (2014). High Manganese, A Risk for Alzheimer's Disease: High Manganese Induces Amyloid-β Related Cognitive Impairment. Journal of Alzheimer s Disease. 42(3). 865–878. 92 indexed citations
18.
Li, Rui, Jing Yu, Shouzi Zhang, et al.. (2013). Bayesian Network Analysis Reveals Alterations to Default Mode Network Connectivity in Individuals at Risk for Alzheimer's Disease. PLoS ONE. 8(12). e82104–e82104. 31 indexed citations
19.
Wang, Pengyun, Juan Li, Hui‐Jie Li, & Shouzi Zhang. (2013). Differences in learning rates for item and associative memories between amnestic mild cognitive impairment and healthy controls. Behavioral and Brain Functions. 9(1). 29–29. 18 indexed citations
20.
Wang, Pengyun, Juan Li, Hui‐Jie Li, et al.. (2013). Is emotional memory enhancement preserved in amnestic mild cognitive impairment? Evidence from separating recollection and familiarity.. Neuropsychology. 27(6). 691–701. 14 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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