Weishi Liu

2.7k total citations · 1 hit paper
86 papers, 1.9k citations indexed

About

Weishi Liu is a scholar working on Statistical and Nonlinear Physics, Biomedical Engineering and Genetics. According to data from OpenAlex, Weishi Liu has authored 86 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Statistical and Nonlinear Physics, 17 papers in Biomedical Engineering and 12 papers in Genetics. Recurrent topics in Weishi Liu's work include Nanopore and Nanochannel Transport Studies (11 papers), Genetic Associations and Epidemiology (9 papers) and Quantum chaos and dynamical systems (8 papers). Weishi Liu is often cited by papers focused on Nanopore and Nanochannel Transport Studies (11 papers), Genetic Associations and Epidemiology (9 papers) and Quantum chaos and dynamical systems (8 papers). Weishi Liu collaborates with scholars based in China, United States and United Kingdom. Weishi Liu's co-authors include Bob Eisenberg, Yingfei Yi, Mingji Zhang, Shuguan Ji, Bixiang Wang, Shui-Nee Chow, Ping Liu, Hongguo Xu, Tierui Zhang and Dongmei Xiao 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

Weishi Liu

85 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Plasma proteomic profiles predict future dementia in healthy adults

2024 126 citations Yu Guo, Jia You et al. Nature Aging profile →

Peers

Weishi Liu

BE

SNP

MC

AMPO

PP

Maricel Agop Romania

Keith Promislow United States

J. Carr United States

Fernando A. Oliveira Brazil

Yubin Zhou China

Thomas Ihle Germany

Wing Yim Tam Hong Kong

Peter D. Miller United States

Steven J. Weinstein United States

M. Marek Czechia

Maricel Agop Romania

Weishi Liu

273 ×0.5

BE

664 ×1.4

SNP

238 ×0.8

MC

486 ×1.8

AMPO

58 ×0.2

PP

Citations per year, relative to Weishi Liu Weishi Liu (= 1×) peers Maricel Agop

Countries citing papers authored by Weishi Liu

Since Specialization

Citations

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

Fields of papers citing papers by Weishi Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weishi Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Chen, Keliang, Yuyuan Huang, Shufen Chen, et al.. (2025). Clinical utility of cerebrospinal fluid Alzheimer’s disease biomarkers in the diagnostic workup of complex patients with cognitive impairment. Translational Psychiatry. 15(1). 130–130. 1 indexed citations

2.

Ma, Lingzhi, Weishi Liu, Yu He, et al.. (2025). Plasma proteomics identify novel biomarkers and dynamic patterns of biological aging. Journal of Advanced Research. 80. 691–704. 3 indexed citations

3.

Liu, Weishi, et al.. (2024). Flux ratios for effects of permanent charges on ionic flows with three ion species: A universality (III). Journal of Differential Equations. 421. 264–290.

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.

Guo, Yu, Jia You, Yi Zhang, et al.. (2024). Plasma proteomic profiles predict future dementia in healthy adults. Nature Aging. 4(2). 247–260. 126 indexed citations breakdown →

8.

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

9.

Liu, Weishi, Jia You, Shi-Dong Chen, et al.. (2024). Plasma proteomics identify biomarkers and undulating changes of brain aging. Nature Aging. 5(1). 99–112. 15 indexed citations

10.

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

11.

Liu, Weishi, Bang‐Sheng Wu, Yang Liu, et al.. (2024). Whole exome sequencing analyses reveal novel genes in telomere length and their biomedical implications. GeroScience. 46(5). 5365–5385. 1 indexed citations

12.

Zhang, Dandan, Xiao‐Yu He, Yang Liu, et al.. (2024). Exome sequencing identifies novel genetic variants associated with varicose veins. PLoS Genetics. 20(7). e1011339–e1011339. 4 indexed citations

13.

Liu, Weishi, Ya-Ru Zhang, Yi‐Jun Ge, et al.. (2023). Inflammation and Brain Structure in Alzheimer’s Disease and Other Neurodegenerative Disorders: a Mendelian Randomization Study. Molecular Neurobiology. 61(3). 1593–1604. 9 indexed citations

14.

Fang, Hui, Weishi Liu, Luyang Zhang, et al.. (2022). A Bidirectional Mendelian Randomization Study of Selenium Levels and Ischemic Stroke. Frontiers in Genetics. 13. 782691–782691. 6 indexed citations

15.

Zhang, Luyang, Weishi Liu, Xin Wang, et al.. (2021). Stroke and Myocardial Infarction: A Bidirectional Mendelian Randomization Study. SHILAP Revista de lepidopterología. 13 indexed citations

16.

Lu, Gang, et al.. (2020). Prevalence and genotypic identification of Cryptosporidium spp. and Enterocytozoon bieneusi in captive Asiatic black bears (Ursus thibetanus) in Heilongjiang and Fujian provinces of China. BMC Veterinary Research. 16(1). 84–84. 12 indexed citations

17.

Hsu, Cheng-Hsiung, et al.. (2009). Inviscid and viscous stationary waves of gas flow through contracting–expanding nozzles. Journal of Differential Equations. 248(1). 50–76. 14 indexed citations

18.

Chicone, Carmen & Weishi Liu. (2004). Asymptotic phase revisited. Journal of Differential Equations. 204(1). 227–246. 14 indexed citations

19.

Liu, Weishi, Dongmei Xiao, & Yingfei Yi. (2003). Relaxation oscillations in a class of predator–prey systems. Journal of Differential Equations. 188(1). 306–331. 64 indexed citations

20.

Chow, Shui-Nee, Weishi Liu, & Yingfei Yi. (2000). Center Manifolds for Invariant Sets. Journal of Differential Equations. 168(2). 355–385. 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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