Minming Zhang

7.1k total citations · 2 hit papers
310 papers, 5.0k citations indexed

About

Minming Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Minming Zhang has authored 310 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Radiology, Nuclear Medicine and Imaging, 117 papers in Neurology and 99 papers in Cognitive Neuroscience. Recurrent topics in Minming Zhang's work include Advanced Neuroimaging Techniques and Applications (88 papers), Functional Brain Connectivity Studies (87 papers) and Parkinson's Disease Mechanisms and Treatments (77 papers). Minming Zhang is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (88 papers), Functional Brain Connectivity Studies (87 papers) and Parkinson's Disease Mechanisms and Treatments (77 papers). Minming Zhang collaborates with scholars based in China, United States and United Kingdom. Minming Zhang's co-authors include Peiyu Huang, Xiaojun Xu, Xiaojun Guan, Min Xuan, Quanquan Gu, Xiao Luo, Xinfeng Yu, Qidong Wang, Yeerfan Jiaerken and Zhujing Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

Minming Zhang

294 papers receiving 5.0k citations

Hit Papers

Neuroimaging evidence of glymphatic system dysfunction in... 2022 2026 2023 2024 2022 2024 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minming Zhang China 35 1.8k 1.8k 1.3k 815 481 310 5.0k
Peiyu Huang China 32 1.3k 0.7× 1.1k 0.6× 1.1k 0.8× 645 0.8× 422 0.9× 209 3.5k
Manus J. Donahue United States 40 982 0.5× 2.4k 1.4× 987 0.7× 640 0.8× 381 0.8× 200 5.0k
John S. Thornton United Kingdom 43 1.4k 0.8× 2.0k 1.1× 1.6k 1.2× 1.1k 1.3× 888 1.8× 208 5.5k
Michael Schocke Austria 51 2.7k 1.5× 1.9k 1.1× 802 0.6× 1.2k 1.5× 218 0.5× 174 6.7k
Elna‐Marie Larsson Sweden 49 2.0k 1.1× 2.2k 1.3× 1.5k 1.2× 1.2k 1.4× 1.0k 2.1× 224 8.1k
Roberto Gasparotti Italy 36 1.7k 1.0× 911 0.5× 1.4k 1.1× 396 0.5× 985 2.0× 171 5.2k
Michael Zeineh United States 33 566 0.3× 1.2k 0.7× 1.5k 1.1× 669 0.8× 581 1.2× 105 3.8k
Peter Bartenstein Germany 42 673 0.4× 1.5k 0.9× 1.2k 0.9× 687 0.8× 733 1.5× 183 6.1k
Ian Law Denmark 46 816 0.5× 3.4k 1.9× 1.8k 1.4× 378 0.5× 794 1.7× 226 7.1k

Countries citing papers authored by Minming Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Minming Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minming Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Minming Zhang. A scholar is included among the top collaborators of Minming 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 Minming Zhang. Minming 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.
Luo, Xiao, et al.. (2025). Smoking alters effective connectivity of resting-state brain networks in mild cognitive impairment. Journal of Alzheimer s Disease. 105(3). 893–903.
2.
Yu, Xinfeng, Duo Xu, Yannan Yu, et al.. (2025). Chronic cerebral hypoperfusion‐induced myelin loss in normal‐appearing white matter correlates with cognitive decline: insights from moyamoya disease. Alzheimer s & Dementia Translational Research & Clinical Interventions. 11(4). e70164–e70164.
3.
Guan, Xiaojun, et al.. (2024). Neuroimaging of Parkinson's disease by quantitative susceptibility mapping. NeuroImage. 289. 120547–120547. 28 indexed citations
4.
Yang, Wenyi, Xueqin Bai, Xiaojun Guan, et al.. (2024). The longitudinal volumetric and shape changes of subcortical nuclei in Parkinson’s disease. Scientific Reports. 14(1). 7494–7494. 7 indexed citations
5.
Zhou, Cheng, Xianchen Jiang, Xiaojun Guan, et al.. (2024). Glymphatic system dysfunction and risk of clinical milestones in patients with Parkinson disease. European Journal of Neurology. 31(12). e16521–e16521. 18 indexed citations
6.
Zhou, Cheng, Chao Xie, Jia You, et al.. (2024). Contrastive machine learning reveals Parkinson’s disease specific features associated with disease severity and progression. Communications Biology. 7(1). 954–954. 2 indexed citations
7.
Liu, Siwei, Xiao Luo, Joanna Su Xian Chong, et al.. (2024). Brain structure, amyloid, and behavioral features for predicting clinical progression in subjective cognitive decline. Human Brain Mapping. 45(10). e26765–e26765. 2 indexed citations
8.
Bai, Xueqin, Tao Guo, Xiaojun Guan, et al.. (2024). The association of motor reserve and clinical progression in Parkinson’s disease. NeuroImage Clinical. 44. 103704–103704. 1 indexed citations
10.
Wang, Xiaolan, Chencui Huang, Ning Li, et al.. (2023). Development of a Clinicopathological-Radiomics Model for Predicting Progression and Recurrence in Meningioma Patients. Academic Radiology. 31(5). 2061–2073. 6 indexed citations
11.
12.
Xu, Jingjing, et al.. (2021). Substantia nigra iron affects functional connectivity networks modifying working memory performance in younger adults. European Journal of Neuroscience. 54(11). 7959–7973. 4 indexed citations
13.
Li, Kaicheng, Shuyue Wang, Xiao Luo, et al.. (2020). Progressive Memory Circuit Impairments along with Alzheimer’s Disease Neuropathology Spread: Evidence from in vivo Neuroimaging. Cerebral Cortex. 30(11). 5863–5873. 7 indexed citations
14.
Sun, Lijiang, Dawei Wang, Minming Zhang, et al.. (2020). Preoperative Immune Prognostic Index Can Predict the Clinical Outcomes of Patients with Gallbladder Cancer: Single-Center Experience. SHILAP Revista de lepidopterología. 1 indexed citations
15.
Fu, Yan, Jiping He, Minming Zhang, et al.. (2020). Impaired Cognitive Abilities in Siblings of Patients with Temporal Lobe Epilepsy. SHILAP Revista de lepidopterología.
16.
Chang, Yu, Xiaojiang Wu, Li L, et al.. (2019). Clinical features and prognostic factors of primary bone marrow lymphoma. SHILAP Revista de lepidopterología. 2 indexed citations
17.
Ren, Fu‐de, Weiwei Weng, Qi Zhang, et al.. (2019). Clinicopathological features and prognosis of AFP-producing colorectal cancer: a single-center analysis of 20 cases. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Zhou, Ying, Qingqing Li, Ruiting Zhang, et al.. (2019). Role of deep medullary veins in pathogenesis of lacunes: Longitudinal observations from the CIRCLE study. Journal of Cerebral Blood Flow & Metabolism. 40(9). 1797–1805. 23 indexed citations
19.
Zhou, Ying, Ruiting Zhang, Shenqiang Yan, et al.. (2018). Identification of Corticospinal Tract Lesion for Predicting Outcome in Small Perfusion Stroke. Stroke. 49(11). 2683–2691. 5 indexed citations
20.
Zhang, Minming, Tengfei Zhang, Chen‐Yu Zhang, et al.. (2018). Improvement of psychological status after infliximab treatment in patients with newly diagnosed Crohn’s disease. SHILAP Revista de lepidopterología. 1 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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