Shao Liu

4.0k total citations · 1 hit paper
119 papers, 2.7k citations indexed

About

Shao Liu is a scholar working on Molecular Biology, Computational Theory and Mathematics and Plant Science. According to data from OpenAlex, Shao Liu has authored 119 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Computational Theory and Mathematics and 19 papers in Plant Science. Recurrent topics in Shao Liu's work include Computational Drug Discovery Methods (20 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Analytical Chemistry and Chromatography (11 papers). Shao Liu is often cited by papers focused on Computational Drug Discovery Methods (20 papers), Metabolomics and Mass Spectrometry Studies (12 papers) and Analytical Chemistry and Chromatography (11 papers). Shao Liu collaborates with scholars based in China, United States and Hong Kong. Shao Liu's co-authors include R. Srikant, Tamer Başar, Yi‐Zeng Liang, Lunzhao Yi, Yueping Jiang, Dongsheng Cao, Naiping Dong, Mung Chiang, Zhicheng Gong and Qing‐Song Xu and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Analytical Chemistry.

In The Last Decade

Shao Liu

111 papers receiving 2.6k citations

Hit Papers

Traditional Uses, Phytochemistry, Pharmacology and Toxico... 2024 2026 2025 2024 10 20 30 40 50

Peers

Shao Liu
Shao Liu
Citations per year, relative to Shao Liu Shao Liu (= 1×) peers Upendra Sharma

Countries citing papers authored by Shao Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shao Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shao Liu. A scholar is included among the top collaborators of Shao 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 Shao Liu. Shao 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
4.
Wang, Ningning, et al.. (2024). Data-driven toxicity prediction in drug discovery: Current status and future directions. Drug Discovery Today. 29(11). 104195–104195. 6 indexed citations
5.
Liu, Shao, et al.. (2024). Ultra-high volume expansion ratio branched PBT/TPEE three-dimensional reticulated foams of supercritical CO2 melt foaming for efficient oil/water separation. Separation and Purification Technology. 356. 129838–129838. 2 indexed citations
6.
Liu, Shao, et al.. (2024). Preparation of antishrinkage and high strength poly(butylene adipate-co-terephthalate) microcellular foam via in situ fibrillation of polylactide. International Journal of Biological Macromolecules. 282(Pt 2). 136782–136782. 7 indexed citations
7.
Li, Yunyun, Yan Li, Yueping Jiang, et al.. (2024). Ilyomycin L, a novel resorcylic acid lactone with furan nucleus from Ilyonectria sp. DWS906. Journal of Molecular Structure. 1305. 137763–137763. 3 indexed citations
8.
Li, Jing, Dongsheng Cao, Shao Liu, et al.. (2024). A Very Deep Graph Convolutional Network for13C NMR Chemical Shift Calculations with Density Functional Theory Level Performance for Structure Assignment. Journal of Natural Products. 87(4). 743–752. 13 indexed citations
9.
Long, Hongping, Xi Zhou, Lanqing Li, et al.. (2024). Five brasilane-type sesquiterpenoids with neuroprotective activities from Xylaria nigripes. Phytochemistry. 231. 114357–114357.
10.
Li, Jing, Shao Liu, Wen‐Xuan Wang, et al.. (2023). Neuroprotective methylsuccinic acid and enoic acid derivatives from the fungus Xylaria longipes. Phytochemistry. 210. 113652–113652. 4 indexed citations
11.
Wu, Xiaoqian, Jing Li, Xi Zhou, et al.. (2023). Liver-cell protective pyridones from the fungi Tolypocladium album dws120. Phytochemistry. 212. 113730–113730. 9 indexed citations
12.
Wang, Ningning, et al.. (2023). Comprehensive Review of Drug–Drug Interaction Prediction Based on Machine Learning: Current Status, Challenges, and Opportunities. Journal of Chemical Information and Modeling. 64(1). 96–109. 14 indexed citations
14.
Jiang, Yueping, et al.. (2022). Pyrrole-2-carbaldehydes with neuroprotective activities from Moringa oleifera seeds. Phytochemistry. 204. 113451–113451. 8 indexed citations
16.
Liu, Shao, et al.. (2015). Purification and characterization of a glucan from Bacillus Calmette Guerin and the antitumor activity of its sulfated derivative. Carbohydrate Polymers. 128. 138–146. 19 indexed citations
18.
Cao, Dongsheng, Shao Liu, Liu‐Xia Zhang, et al.. (2013). Large-scale prediction of human kinase–inhibitor interactions using protein sequences and molecular topological structures. Analytica Chimica Acta. 792. 10–18. 24 indexed citations
19.
Liu, Shao, Lunzhao Yi, & Yi‐Zeng Liang. (2008). Traditional Chinese medicine and separation science. Journal of Separation Science. 31(11). 2113–2137. 124 indexed citations
20.
Liu, Shao, et al.. (2003). [Studies on chemical constituents in leafs of Ilex kudingcha].. PubMed. 28(9). 834–6. 2 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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