Yu‐Shu Liu

1.2k total citations
40 papers, 970 citations indexed

About

Yu‐Shu Liu is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Yu‐Shu Liu has authored 40 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Neurology. Recurrent topics in Yu‐Shu Liu's work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (8 papers) and Tryptophan and brain disorders (5 papers). Yu‐Shu Liu is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Immune cells in cancer (8 papers) and Tryptophan and brain disorders (5 papers). Yu‐Shu Liu collaborates with scholars based in Taiwan, China and United States. Yu‐Shu Liu's co-authors include Dah‐Yuu Lu, Cheng‐Fang Tsai, Hsiao‐Yun Lin, Sheng‐Wei Lai, Chingju Lin, Wei‐Lan Yeh, Bor‐Ren Huang, Pei-Chun Chang, Thomas V. Getchell and Arnold J. Stromberg and has published in prestigious journals such as PLoS ONE, Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Yu‐Shu Liu

39 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Shu Liu Taiwan 18 339 200 198 119 90 40 970
Hsiao‐Yun Lin Taiwan 22 473 1.4× 237 1.2× 171 0.9× 184 1.5× 151 1.7× 40 1.2k
Song Hee Lee South Korea 19 330 1.0× 172 0.9× 170 0.9× 124 1.0× 85 0.9× 47 964
Ruey‐Horng Shih Taiwan 8 451 1.3× 315 1.6× 179 0.9× 177 1.5× 118 1.3× 9 1.1k
Bin Xing China 18 548 1.6× 337 1.7× 144 0.7× 232 1.9× 58 0.6× 55 1.4k
Sung‐Vin Yim South Korea 22 522 1.5× 124 0.6× 117 0.6× 147 1.2× 60 0.7× 61 1.3k
Ruiqin Yao China 22 717 2.1× 310 1.6× 169 0.9× 173 1.5× 232 2.6× 70 1.4k
Won‐Ki Kim South Korea 16 445 1.3× 123 0.6× 213 1.1× 126 1.1× 85 0.9× 43 1.0k
Lisheng Chu China 19 501 1.5× 464 2.3× 170 0.9× 146 1.2× 143 1.6× 43 1.2k
Kang‐Min Lee South Korea 19 479 1.4× 122 0.6× 239 1.2× 141 1.2× 87 1.0× 60 1.3k
Gu Gong China 17 433 1.3× 177 0.9× 118 0.6× 192 1.6× 85 0.9× 42 1.3k

Countries citing papers authored by Yu‐Shu Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Shu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Shu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Shu Liu. A scholar is included among the top collaborators of Yu‐Shu 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 Yu‐Shu Liu. Yu‐Shu 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, Yu‐Shu, Hui Deng, Ping Song, & Mengxian Zhang. (2025). Constructing a Glioblastoma Prognostic Model Related to Fatty Acid Metabolism Using Machine Learning and Identifying F13A1 as a Potential Target. Biomedicines. 13(2). 256–256. 1 indexed citations
2.
Deng, Hui, et al.. (2025). Lactylation in Glioblastoma: A Novel Epigenetic Modifier Bridging Epigenetic Plasticity and Metabolic Reprogramming. International Journal of Molecular Sciences. 26(7). 3368–3368. 7 indexed citations
3.
Xu, Miaoping, et al.. (2024). Adaptation strategies of soil microorganisms in resource changes and stoichiometric imbalances induced by secondary succession on the loess plateau. Journal of Environmental Management. 370. 122668–122668. 3 indexed citations
4.
Wang, Pengfei, Zhiyu Yi, Joseph G. Meert, et al.. (2024). Paleomagnetic Constraints on the Rapid Plate Shift of North China Block During the Jurassic From ∼155 Ma Dykes and Sills. Geochemistry Geophysics Geosystems. 25(10). 1 indexed citations
5.
Liu, Yu‐Shu, et al.. (2024). Investigating the synergistic antibacterial effects of chlorogenic and p-coumaric acids on Shigella dysenteriae. Food Chemistry. 462. 141011–141011. 14 indexed citations
6.
7.
Huang, Bor‐Ren, Chingju Lin, Chao‐Wei Chen, et al.. (2024). LPS priming-induced immune tolerance mitigates LPS-stimulated microglial activation and social avoidance behaviors in mice. Journal of Pharmacological Sciences. 154(4). 225–235. 5 indexed citations
8.
Shen, Ching‐Kai, Bor‐Ren Huang, Liang‐Yo Yang, et al.. (2023). Inhibitory Effects of Urolithins, Bioactive Gut Metabolites from Natural Polyphenols, against Glioblastoma Progression. Nutrients. 15(23). 4854–4854. 9 indexed citations
9.
Zhang, Wei, Liyun Zhang, Lin Sun, et al.. (2023). Efficient vegetation restoration in Mu Us desert reduces microbial diversity due to the transformation of nutrient requirements. Ecological Indicators. 154. 110758–110758. 5 indexed citations
10.
Cao, Ling, Miaoping Xu, Yu‐Shu Liu, et al.. (2023). Response of soil nitrogen components and its vertical distribution to rainfall redistribution during Robinia pseudoacacia forest restoration on the Loess Plateau. Ecological Indicators. 155. 111036–111036. 7 indexed citations
11.
Liu, Yu‐Shu, Juan Li, Xi Wang, et al.. (2022). Ginsenoside Rb1 attenuates lipopolysaccharide-induced chronic neuroinflammation in mice by tuning glial cell polarization. Journal of Traditional Chinese Medical Sciences. 9(4). 383–391. 3 indexed citations
12.
Liu, Yu‐Shu, Bor‐Ren Huang, Chingju Lin, et al.. (2021). Paliperidone Inhibits Glioblastoma Growth in Mouse Brain Tumor Model and Reduces PD-L1 Expression. Cancers. 13(17). 4357–4357. 17 indexed citations
13.
Wang, Jingxuan, Bo Wang, Runzhi Li, et al.. (2021). Identification of differentially expressed genes associated with aluminum resistance in the soybean plant. Physiology and Molecular Biology of Plants. 27(6). 1311–1321. 2 indexed citations
14.
Huang, Bor‐Ren, Yu‐Shu Liu, Sheng‐Wei Lai, et al.. (2020). CAIX Regulates GBM Motility and TAM Adhesion and Polarization through EGFR/STAT3 under Hypoxic Conditions. International Journal of Molecular Sciences. 21(16). 5838–5838. 21 indexed citations
15.
Lin, Hsiao‐Yun, Yu‐Shu Liu, Flurin Cathomas, et al.. (2020). SUMO E3 ligase PIAS1 is a potential biomarker indicating stress susceptibility. Psychoneuroendocrinology. 120. 104800–104800. 9 indexed citations
16.
Liu, Yu‐Shu, Hsiao‐Yun Lin, Sheng‐Wei Lai, et al.. (2018). Bradykinin B1 receptor contributes to interleukin-8 production and glioblastoma migration through interaction of STAT3 and SP-1. Neuropharmacology. 144. 143–154. 35 indexed citations
17.
Lin, Chingju, Hsiao‐Yun Lin, Yu‐Shu Liu, et al.. (2015). Naringenin Suppresses Neuroinflammatory Responses Through Inducing Suppressor of Cytokine Signaling 3 Expression. Molecular Neurobiology. 53(2). 1080–1091. 104 indexed citations
18.
Huang, Bor‐Ren, Pei-Chun Chang, Wei‐Lan Yeh, et al.. (2014). Anti-Neuroinflammatory Effects of the Calcium Channel Blocker Nicardipine on Microglial Cells: Implications for Neuroprotection. PLoS ONE. 9(3). e91167–e91167. 66 indexed citations
19.
Chelvarajan, Lakshman, et al.. (2007). Molecular mechanisms underlying anti-inflammatory phenotype of neonatal splenic macrophages. Journal of Leukocyte Biology. 82(2). 403–416. 23 indexed citations
20.
Li, Hao, Constance L. Wood, Yu‐Shu Liu, et al.. (2006). Identification of gene expression patterns using planned linear contrasts. BMC Bioinformatics. 7(1). 245–245. 10 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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