Bang‐Sheng Wu

1.7k total citations · 1 hit paper
58 papers, 835 citations indexed

About

Bang‐Sheng Wu is a scholar working on Genetics, Physiology and Molecular Biology. According to data from OpenAlex, Bang‐Sheng Wu has authored 58 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 15 papers in Physiology and 14 papers in Molecular Biology. Recurrent topics in Bang‐Sheng Wu's work include Genetic Associations and Epidemiology (16 papers), Alzheimer's disease research and treatments (10 papers) and Dementia and Cognitive Impairment Research (9 papers). Bang‐Sheng Wu is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), Alzheimer's disease research and treatments (10 papers) and Dementia and Cognitive Impairment Research (9 papers). Bang‐Sheng Wu collaborates with scholars based in China, United Kingdom and United States. Bang‐Sheng Wu's co-authors include Jin‐Tai Yu, Wei Cheng, Yue‐Ting Deng, Jianfeng Feng, Ya‐Nan Ou, Shu‐Yi Huang, Qiang Dong, Shi-Dong Chen, Ya-Ru Zhang and Lan Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bang‐Sheng Wu

55 papers receiving 832 citations

Hit Papers

Glymphatic system dysfunction predicts amyloid deposition... 2024 2026 2025 2024 25 50 75

Peers

Bang‐Sheng Wu
Rebecca A. Nebel United States
Aneela Rahman United States
Jenna Collins United States
Kerry L. Hildreth United States
Yi Wen China
Martin Bahls Germany
Sharmin Hossain United States
Rebecca A. Nebel United States
Bang‐Sheng Wu
Citations per year, relative to Bang‐Sheng Wu Bang‐Sheng Wu (= 1×) peers Rebecca A. Nebel

Countries citing papers authored by Bang‐Sheng Wu

Since Specialization
Citations

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

Fields of papers citing papers by Bang‐Sheng Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bang‐Sheng Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Bang‐Sheng Wu. A scholar is included among the top collaborators of Bang‐Sheng 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 Bang‐Sheng Wu. Bang‐Sheng Wu 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, Yixuan, Xiaoyu He, Yue‐Ting Deng, et al.. (2025). Genetic architecture of plasma metabolome in 254,825 individuals. Nature Communications. 16(1). 8272–8272. 1 indexed citations
2.
Huang, Shu‐Yi, Yi‐Jun Ge, Peng Ren, et al.. (2025). Genome-wide association study unravels mechanisms of brain glymphatic activity. Nature Communications. 16(1). 626–626. 2 indexed citations
3.
Zhang, Ya‐Ru, Bang‐Sheng Wu, Yang Liu, et al.. (2024). Whole exome sequencing analyses identified novel genes for Alzheimer's disease and related dementia. Alzheimer s & Dementia. 20(10). 7062–7078. 6 indexed citations
4.
Wu, Bang‐Sheng, Jujiao Kang, Weishi Liu, et al.. (2024). Exome sequencing identifies genes associated with sleep-related traits. Nature Human Behaviour. 8(3). 576–589. 4 indexed citations
5.
He, Xiao‐Yu, Bang‐Sheng Wu, Yang Liu, et al.. (2024). Genetic associations of protein-coding variants in venous thromboembolism. Nature Communications. 15(1). 2819–2819. 2 indexed citations
6.
Liu, Yang, Ya‐Nan Ou, Bang‐Sheng Wu, et al.. (2024). Large-scale whole-exome sequencing analyses identified protein-coding variants associated with immune-mediated diseases in 350,770 adults. Nature Communications. 15(1). 5924–5924. 11 indexed citations
7.
Kang, Jujiao, Yue‐Ting Deng, Bang‐Sheng Wu, et al.. (2024). Whole exome sequencing analysis identifies genes for alcohol consumption. Nature Communications. 15(1). 5777–5777. 2 indexed citations
8.
Deng, Yue‐Ting, Bang‐Sheng Wu, Xiao‐Yu He, et al.. (2024). Large-scale whole-exome sequencing of neuropsychiatric diseases and traits in 350,770 adults. Nature Human Behaviour. 8(6). 1194–1208. 2 indexed citations
9.
Ou, Ya‐Nan, Kevin H.M. Kuo, Yang Liu, et al.. (2023). Longitudinal associations of cardiovascular health and vascular events with incident dementia. Stroke and Vascular Neurology. 9(4). 418–428. 6 indexed citations
10.
Chen, Si‐Jia, Bang‐Sheng Wu, Yi‐Jun Ge, et al.. (2023). The genetic architecture of the corpus callosum and its genetic overlap with common neuropsychiatric diseases. Journal of Affective Disorders. 335. 418–430. 4 indexed citations
11.
He, Xiao‐Yu, Bang‐Sheng Wu, Kevin H.M. Kuo, et al.. (2023). Association between polygenic risk for Alzheimer’s disease and brain structure in children and adults. Alzheimer s Research & Therapy. 15(1). 109–109. 7 indexed citations
12.
You, Jia, Yi‐Jun Ge, Bang‐Sheng Wu, et al.. (2023). Association of biological age with health outcomes and its modifiable factors. Aging Cell. 22(12). e13995–e13995. 24 indexed citations
13.
Zhang, Ya-Ru, Yue‐Ting Deng, Yuzhu Li, et al.. (2023). Personality traits and brain health: a large prospective cohort study. Nature Mental Health. 1(10). 722–735. 14 indexed citations
14.
Ou, Ya‐Nan, Bang‐Sheng Wu, Yi‐Jun Ge, et al.. (2023). The genetic architecture of human amygdala volumes and their overlap with common brain disorders. Translational Psychiatry. 13(1). 90–90. 5 indexed citations
15.
Ou, Ya‐Nan, Yi‐Jun Ge, Bang‐Sheng Wu, et al.. (2023). The genetic architecture of fornix white matter microstructure and their involvement in neuropsychiatric disorders. Translational Psychiatry. 13(1). 180–180. 10 indexed citations
16.
Hu, He‐Ying, Bang‐Sheng Wu, Ya‐Nan Ou, et al.. (2022). Tea consumption and risk of incident dementia: A prospective cohort study of 377 592 UK Biobank participants. Translational Psychiatry. 12(1). 171–171. 24 indexed citations
17.
Huang, Shu‐Yi, Yuzhu Li, Ya-Ru Zhang, et al.. (2022). Sleep, physical activity, sedentary behavior, and risk of incident dementia: a prospective cohort study of 431,924 UK Biobank participants. Molecular Psychiatry. 27(10). 4343–4354. 62 indexed citations
18.
He, Xiao‐Yu, Kevin H.M. Kuo, Yang Liu, et al.. (2022). Serum clinical laboratory tests and risk of incident dementia: a prospective cohort study of 407,190 individuals. Translational Psychiatry. 12(1). 312–312. 17 indexed citations
19.
Ou, Ya‐Nan, Yuxiang Yang, Yue‐Ting Deng, et al.. (2021). Identification of novel drug targets for Alzheimer’s disease by integrating genetics and proteomes from brain and blood. Molecular Psychiatry. 26(10). 6065–6073. 57 indexed citations
20.
Wu, Bang‐Sheng, Ya-Ru Zhang, Hong‐Qi Li, et al.. (2021). Cortical structure and the risk for Alzheimer’s disease: a bidirectional Mendelian randomization study. Translational Psychiatry. 11(1). 476–476. 31 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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