Wanting Liu

1.9k total citations · 1 hit paper
79 papers, 1.2k citations indexed

About

Wanting Liu is a scholar working on Molecular Biology, Plant Science and Physiology. According to data from OpenAlex, Wanting Liu has authored 79 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 11 papers in Plant Science and 8 papers in Physiology. Recurrent topics in Wanting Liu's work include Dementia and Cognitive Impairment Research (7 papers), Alzheimer's disease research and treatments (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Wanting Liu is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Alzheimer's disease research and treatments (6 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Wanting Liu collaborates with scholars based in China, Hong Kong and United States. Wanting Liu's co-authors include Yongzheng Peng, Zhi Lü, Feifan Wu, Zihao Ou, Yonghong Peng, Miao Liu, Yuting Fu, Weidong Qian, Desmond J. Tobin and Ting Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Biomaterials.

In The Last Decade

Wanting Liu

70 papers receiving 1.2k citations

Hit Papers

Protective effects of Akkermansia muciniphila on cognitiv... 2020 2026 2022 2024 2020 50 100 150 200
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.

  1. Protective effects of Akkermansia muciniphila on cognitive deficits and amyloid pathology in a mouse model of Alzheimer’s disease
    2020 245 citations Zihao Ou, Zhi Lü et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wanting Liu China 18 654 180 125 114 100 79 1.2k
Xiaoyu Gao China 17 537 0.8× 127 0.7× 90 0.7× 77 0.7× 89 0.9× 57 1.1k
Xin Ran China 17 664 1.0× 177 1.0× 81 0.6× 97 0.9× 83 0.8× 27 1.3k
Guangxin Chen China 19 755 1.2× 210 1.2× 139 1.1× 99 0.9× 85 0.8× 69 1.6k
Dandan Zhao China 21 763 1.2× 122 0.7× 59 0.5× 78 0.7× 257 2.6× 61 1.5k
Songwei Yang China 18 683 1.0× 132 0.7× 77 0.6× 42 0.4× 120 1.2× 42 1.4k
Jacqueline Whyte United Kingdom 8 560 0.9× 156 0.9× 56 0.4× 94 0.8× 63 0.6× 8 983
Muhammad Imran Naseer Saudi Arabia 25 906 1.4× 225 1.3× 166 1.3× 43 0.4× 126 1.3× 150 2.3k
Ying Zong China 18 499 0.8× 100 0.6× 91 0.7× 62 0.5× 64 0.6× 86 1.3k
Suhrid Banskota South Korea 18 616 0.9× 174 1.0× 44 0.4× 62 0.5× 87 0.9× 34 1.2k

Countries citing papers authored by Wanting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Wanting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanting Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Wanting Liu. A scholar is included among the top collaborators of Wanting 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 Wanting Liu. Wanting Liu 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.
Liu, Wanting, et al.. (2025). Hypersonic Boundary-Layer Instability on Flat Plates with Configured Distributed Roughness Elements. AIAA Journal. 63(11). 4508–4530.
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Wang, Jingyun, Qin Zhang, Chunlin Liu, et al.. (2024). A Sr@Ag-based spatiotemporal and step-release scaffold against chronic osteomyelitis, fabricated by coaxial 3D-printing. Biomaterials. 314. 122899–122899. 12 indexed citations
5.
Ning, Jianting, et al.. (2024). Characterization and nutrition assessment of amino acids in different domains between donkey colostrum and mature milk. Journal of Food Composition and Analysis. 132. 106345–106345. 5 indexed citations
6.
Wang, Jiaqi, Jiaoling Chen, Wanting Liu, et al.. (2024). Epidermal stem cells: skin surveillance and clinical perspective. Journal of Translational Medicine. 22(1). 779–779. 6 indexed citations
7.
Bai, Hao, et al.. (2024). Genetic mutation profiling reveals biomarkers for targeted therapy efficacy and prognosis in non-small cell lung cancer. Heliyon. 10(6). e27633–e27633. 1 indexed citations
8.
Liu, Wanting, et al.. (2023). Flavor Characterization of Traditional Fermented Soybean Pastes from Northeast China and Korea. Foods. 12(17). 3294–3294. 14 indexed citations
9.
Liu, Wanting, et al.. (2023). Environmental adaptability of the genus Carex-A case study of Carex heterostachya and Carex breviculmis in northwest China. Plant Ecology. 224(7). 617–634. 4 indexed citations
10.
Cheng, Bo, Yong Zhou, Li Tian, et al.. (2023). Vascular mimicry induced by m6A mediated IGFL2-AS1/AR axis contributes to pazopanib resistance in clear cell renal cell carcinoma. Cell Death Discovery. 9(1). 121–121. 13 indexed citations
11.
Li, Siying, et al.. (2023). Alpha oscillations encode Bayesian belief updating underlying attentional allocation in dynamic environments. NeuroImage. 284. 120464–120464. 5 indexed citations
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Zhang, Yi, Jingru Zhang, Xingang Xu, et al.. (2023). The effects of rhamnolipid on the formation of CH4 hydrate and separation of CH4/N2 via hydrate formation. Fuel. 357. 129873–129873. 8 indexed citations
14.
Liu, Wanting, Jianghong Liu, Eugenia Mamikonyan, et al.. (2022). Perfusion Imaging of Fatigue and Time-on-Task Effects in Patients With Parkinson’s Disease. Frontiers in Aging Neuroscience. 14. 901203–901203. 6 indexed citations
15.
Lü, Yang, et al.. (2022). Image classification and identification for rice leaf diseases based on improved WOACW_SimpleNet. Frontiers in Plant Science. 13. 1008819–1008819. 6 indexed citations
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Cao, Yang, Meng Liu, Jia Liu, et al.. (2021). Directly targeting c-Myc contributes to the anti-multiple myeloma effect of anlotinib. Cell Death and Disease. 12(4). 396–396. 16 indexed citations
18.
Abrigo, Jill, Chunlei Liu, Wanting Liu, et al.. (2020). Quantitative Susceptibility Mapping of the Hippocampal Fimbria in Alzheimer's Disease. Journal of Magnetic Resonance Imaging. 53(6). 1823–1832. 17 indexed citations
19.
Ou, Zihao, Chong Li, Zhi Lü, et al.. (2020). Diverse effects of different Akkermansia muciniphila genotypes on Brown adipose tissue inflammation and whitening in a high-fat-diet murine model. Microbial Pathogenesis. 147. 104353–104353. 42 indexed citations
20.
Zhou, Qian, Lu Liu, Weimin Ci, et al.. (2019). A tumor suppressor enhancing module orchestrated by GATA4 denotes a therapeutic opportunity for GATA4 deficient HCC patients. Theranostics. 10(2). 484–497. 16 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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