Liyong Wu

2.1k total citations
73 papers, 763 citations indexed

About

Liyong Wu is a scholar working on Physiology, Psychiatry and Mental health and Neurology. According to data from OpenAlex, Liyong Wu has authored 73 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Physiology, 19 papers in Psychiatry and Mental health and 15 papers in Neurology. Recurrent topics in Liyong Wu's work include Alzheimer's disease research and treatments (30 papers), Dementia and Cognitive Impairment Research (18 papers) and Functional Brain Connectivity Studies (11 papers). Liyong Wu is often cited by papers focused on Alzheimer's disease research and treatments (30 papers), Dementia and Cognitive Impairment Research (18 papers) and Functional Brain Connectivity Studies (11 papers). Liyong Wu collaborates with scholars based in China, Canada and United States. Liyong Wu's co-authors include Pedro Rosa‐Neto, Jianping Jia, Serge Gauthier, Sandra E. Black, Ging‐Yuek Robin Hsiung, A. Dessa Sadovnick, Mario Masellis, Yu Kong, Min Kyung Chu and Kewei Chen and has published in prestigious journals such as PLoS ONE, Brain and Annals of Neurology.

In The Last Decade

Liyong Wu

63 papers receiving 756 citations

Peers

Liyong Wu

PHYSI

PMH

NEURO

Marion Ortner Germany

Fabian Corlier France

Bradley B. Miller United States

Sofia Toniolo United Kingdom

Robin Borchert United Kingdom

L. Bracco Italy

Cathleen Haense Germany

Ana Pozueta Spain

Shinobu Kawakatsu Japan

Olga Pletnikova United States

Marion Ortner Germany

Liyong Wu

308 ×1.0

PHYSI

332 ×1.4

PMH

242 ×1.3

93 ×0.7

118 ×0.9

NEURO

Citations per year, relative to Liyong Wu Liyong Wu (= 1×) peers Marion Ortner

Countries citing papers authored by Liyong Wu

Since Specialization

Citations

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

Fields of papers citing papers by Liyong Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liyong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Liyong Wu. A scholar is included among the top collaborators of Liyong Wu 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 Liyong Wu. Liyong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Nan, Haitian, Min Kyung Chu, Deming Jiang, et al.. (2025). Identification and characterization of variants in PSEN1, PSEN2, and APP genes in Chinese patients with early-onset Alzheimer's disease. Alzheimer s Research & Therapy. 17(1). 54–54. 4 indexed citations

Nan, Haitian, et al.. (2024). Genetic insights into drug targets for sporadic Creutzfeldt-Jakob disease: Integrative multi-omics analysis. Neurobiology of Disease. 199. 106599–106599. 2 indexed citations

Wu, Liyong, et al.. (2024). Characteristics of brain topological networks in posterior cortical atrophy: a hybrid FDG PET/MRI study. Alzheimer s & Dementia. 20(S2).

Chu, Min Kyung, et al.. (2024). Vascular dysfunction in sporadic bvFTD: white matter hyperintensity and peripheral vascular biomarkers. Alzheimer s Research & Therapy. 16(1). 72–72. 2 indexed citations

Chu, Min Kyung, et al.. (2023). Progranulin Gene Mutations in Chinese Patients with Frontotemporal Dementia: A Case Report and Literature Review. Journal of Alzheimer s Disease. 93(1). 225–234. 6 indexed citations

Chu, Min Kyung, Lulu Wen, Li Liu, et al.. (2023). Peripheral inflammation in behavioural variant frontotemporal dementia: associations with central degeneration and clinical measures. Journal of Neuroinflammation. 20(1). 65–65. 19 indexed citations

Kong, Yu, Zhongyun Chen, Pedro Rosa‐Neto, et al.. (2023). Regional Glymphatic Abnormality in Behavioral Variant Frontotemporal Dementia. Annals of Neurology. 94(3). 442–456. 57 indexed citations

Liu, Li, Min Kyung Chu, Binbin Nie, et al.. (2023). Altered metabolic connectivity within the limbic cortico-striato-thalamo-cortical circuit in presymptomatic and symptomatic behavioral variant frontotemporal dementia. Alzheimer s Research & Therapy. 15(1). 3–3. 7 indexed citations

Xie, Kexin, Yaojing Chen, Min Kyung Chu, et al.. (2022). Specific structuro-metabolic pattern of thalamic subnuclei in fatal familial insomnia: A PET/MRI imaging study. NeuroImage Clinical. 34. 103026–103026. 4 indexed citations

10.

Li, Xuying, Yue Cui, Kexin Xie, et al.. (2021). Novel PSEN1 and PSEN2 Mutations Identified in Sporadic Early-onset Alzheimer Disease and Posterior Cortical Atrophy. Alzheimer Disease & Associated Disorders. 35(3). 208–213. 5 indexed citations

11.

Liu, Li, Bo Cui, Min Kyung Chu, et al.. (2021). The Frequency of Genetic Mutations Associated With Behavioral Variant Frontotemporal Dementia in Chinese Han Patients. Frontiers in Aging Neuroscience. 13. 699836–699836. 15 indexed citations

12.

Chu, Min Kyung, Li Liu, Lin Liu, et al.. (2021). Investigating the Roles of Anterior Cingulate in Behavioral Variant Frontotemporal Dementia: A PET/MRI Study. Journal of Alzheimer s Disease. 84(4). 1771–1779. 12 indexed citations

13.

Chu, Min Kyung, Yue Cui, Yu Kong, et al.. (2021). Three novel mutations in Chinese patients with CSF1R-related leukoencephalopathy. Annals of Translational Medicine. 9(13). 1072–1072. 7 indexed citations

14.

Cui, Yue, Sisi Dai, Yang Liu, et al.. (2019). Reliability and Validity of the Chinese Version of the Mild Behavioral Impairment Checklist for Screening for Alzheimer’s Disease. Journal of Alzheimer s Disease. 70(3). 747–756. 33 indexed citations

15.

Qin, Wei, Liyong Wu, Aihong Zhou, et al.. (2019). Two novel presenilin-1 mutations (I249L and P433S) in early onset Chinese Alzheimer's pedigrees and their functional characterization. Biochemical and Biophysical Research Communications. 516(1). 264–269. 12 indexed citations

16.

Bai, Yanyan, Lu Lu, Yue Cui, et al.. (2018). Analysis of clinical and neuroimaging features in a Chinese family with hereditary diffuse leukoencephalopathy with neuroaxonal spheroids. Chin J Neurol. 51(11). 877–881. 2 indexed citations

17.

Liu, Jia, Shuqin Zhan, Chaoyang Huang, et al.. (2018). Sleep Architecture Changed Without RBD in Patients With FTDP-17. Journal of Clinical Sleep Medicine. 14(10). 1735–1739. 2 indexed citations

18.

Wu, Liyong, et al.. (2017). Clinical and neuroimaging features of frontotemporal dementia with parkinsonism linked to chromosome 17. Chin J Neurol. 50(1). 11–16. 1 indexed citations

19.

Wu, Liyong, Ricardo Bernardi Soder, Dorothée Schoemaker, et al.. (2014). Resting State Executive Control Network Adaptations in Amnestic Mild Cognitive Impairment. Journal of Alzheimer s Disease. 40(4). 993–1004. 32 indexed citations

20.

Wu, Liyong, Jared Rowley, Antoine Leuzy, et al.. (2012). Dissociation between Brain Amyloid Deposition and Metabolism in Early Mild Cognitive Impairment. PLoS ONE. 7(10). e47905–e47905. 42 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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