Shunmei Liu

737 total citations
23 papers, 578 citations indexed

About

Shunmei Liu is a scholar working on Molecular Biology, Aquatic Science and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Shunmei Liu has authored 23 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Aquatic Science and 4 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Shunmei Liu's work include Seaweed-derived Bioactive Compounds (4 papers), Algal biology and biofuel production (4 papers) and Regulation of Appetite and Obesity (3 papers). Shunmei Liu is often cited by papers focused on Seaweed-derived Bioactive Compounds (4 papers), Algal biology and biofuel production (4 papers) and Regulation of Appetite and Obesity (3 papers). Shunmei Liu collaborates with scholars based in China, United States and France. Shunmei Liu's co-authors include Huimin Qi, Streamson C. Chua, Quanbin Zhang, Xiaonan Zang, Dongmei Liu, Xiaolei Liu, K. K. I. U. Arunakumara, Bin Liu, Xuecheng Zhang and Weida Li and has published in prestigious journals such as Journal of Clinical Investigation, Chemosphere and Carbohydrate Polymers.

In The Last Decade

Shunmei Liu

22 papers receiving 565 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shunmei Liu China 12 213 186 86 83 80 23 578
Yen‐Chang Lin Taiwan 15 223 1.0× 232 1.2× 58 0.7× 17 0.2× 43 0.5× 29 678
Made Airanthi K. Widjaja‐Adhi United States 15 295 1.4× 515 2.8× 63 0.7× 11 0.1× 84 1.1× 23 961
Jinyu Zhang China 16 169 0.8× 280 1.5× 47 0.5× 18 0.2× 24 0.3× 37 733
Luying Zhu China 13 59 0.3× 296 1.6× 93 1.1× 19 0.2× 173 2.2× 23 570
Min‐Kyeong Lee South Korea 15 107 0.5× 244 1.3× 38 0.4× 8 0.1× 37 0.5× 50 577
Osamu Hayashi Japan 14 86 0.4× 166 0.9× 82 1.0× 30 0.4× 85 1.1× 46 587
AJIT GOSWAMI United States 18 126 0.6× 317 1.7× 44 0.5× 12 0.1× 29 0.4× 36 722
Peichao Chen China 10 253 1.2× 188 1.0× 91 1.1× 4 0.0× 42 0.5× 24 508
Yuru Zhang China 18 227 1.1× 284 1.5× 39 0.5× 33 0.4× 25 0.3× 49 801

Countries citing papers authored by Shunmei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shunmei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shunmei Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Shunmei Liu. A scholar is included among the top collaborators of Shunmei 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 Shunmei Liu. Shunmei 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.
Jin, Rong, Y.S. Dai, Bo Zhang, et al.. (2025). Diabetic kidney disease and aging: Focus on gut microbiota. Life Sciences. 381. 123999–123999.
2.
Li, Lanlan, et al.. (2024). Traditional Chinese Medicine-based Treatment in Cardiovascular Disease: Potential Mechanisms of Action. Current Pharmaceutical Biotechnology. 25(17). 2186–2199. 5 indexed citations
3.
Liu, Shunmei, Fred M. Johnson, Yunlei Yang, et al.. (2023). The gut signals to AGRP-expressing cells of the pituitary to control glucose homeostasis. Journal of Clinical Investigation. 133(7). 7 indexed citations
4.
Wang, Xiaoqian, et al.. (2023). High-sulfated derivative of polysaccharide fromUlva pertusaimproves Adriamycin-induced nephrotic syndrome by suppressing oxidative stress. Food & Function. 14(20). 9167–9180. 4 indexed citations
5.
Li, Yunpeng, et al.. (2021). 岩藻黄素抗D-gal诱导SH-SY5Y细胞衰老作用及机制研究. 1 indexed citations
6.
Li, Weida, Bingxi Li, Minghui Wan, et al.. (2018). Antioxidant activity of purified ulvan in hyperlipidemic mice. International Journal of Biological Macromolecules. 113. 971–975. 79 indexed citations
7.
Zhang, Xiaoyun, Xiaodong Cui, Xin Li, et al.. (2018). Inhibition of Kir2.1 channel-induced depolarization promotes cell biological activity and differentiation by modulating autophagy in late endothelial progenitor cells. Journal of Molecular and Cellular Cardiology. 127. 57–66. 12 indexed citations
8.
Chen, Limei, Xiaoying Liu, Zhifang Pan, et al.. (2017). The role of IL-8/CXCR2 signaling in microcystin-LR triggered endothelial cell activation and increased vascular permeability. Chemosphere. 194. 43–48. 14 indexed citations
9.
Liu, Shunmei, Geneviève Marcelin, Clémence Blouet, et al.. (2017). A gut–brain axis regulating glucose metabolism mediated by bile acids and competitive fibroblast growth factor actions at the hypothalamus. Molecular Metabolism. 8. 37–50. 68 indexed citations
10.
Wang, Xuejian, et al.. (2014). Preliminary detection of the anti-tumour activity of indoline-2,3-dione derivative DH-12a targeting aminopeptidase N. Molecular Medicine Reports. 10(5). 2681–2688. 4 indexed citations
11.
Cui, Xiaodong, Xiaoyun Zhang, Jing Xu, et al.. (2014). F-actin cytoskeleton reorganization is associated with hepatic stellate cell activation. Molecular Medicine Reports. 9(5). 1641–1647. 41 indexed citations
12.
Qi, Huimin, Xiaolei Liu, Kai Wang, et al.. (2013). Subchronic toxicity study of ulvan from Ulva pertusa (Chlorophyta) in Wistar rats. Food and Chemical Toxicology. 62. 573–578. 14 indexed citations
13.
Liu, Shunmei. (2012). Effects of the Gekko Swinhonis anti-neoplasm active component on the proliferation,migration and apoptosis of HepG2 cells. Zhongguo yaolixue tongbao. 1 indexed citations
14.
Liu, Bin, et al.. (2011). Cloning, SequenceCharacterizationandPhylogenetic Analysis on Full-LengthcDNA of GrowthHormonefromSouthernFlounder (Paralichthyslethostigma). Turkish Journal of Fisheries and Aquatic Sciences. 11(4). 529–537. 1 indexed citations
15.
Qi, Huimin, et al.. (2011). Antihyperlipidemic activity of high sulfate content derivative of polysaccharide extracted from Ulva pertusa (Chlorophyta). Carbohydrate Polymers. 87(2). 1637–1640. 107 indexed citations
16.
Liu, Shunmei, Xuecheng Zhang, Xiaonan Zang, & K. K. I. U. Arunakumara. (2008). Genotoxic evaluation of the GH transgenic Synechocystis using mice and turbot (Scophthalmus maximus L.). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 653(1-2). 113–116. 3 indexed citations
17.
Zang, Xiaonan, Bin Liu, Shunmei Liu, et al.. (2007). Transformation and expression of Paralichthys olivaceus growth hormone cDNA in Synechocystis sp. PCC6803. Aquaculture. 266(1-4). 63–69. 7 indexed citations
18.
19.
Zang, Xiaonan, Bin Liu, Shunmei Liu, K. K. I. U. Arunakumara, & Xuecheng Zhang. (2007). Optimum conditions for transformation of Synechocystis sp. PCC 6803.. PubMed. 45(3). 241–5. 63 indexed citations
20.
Kowalski, Timothy J., et al.. (1999). Neuropeptide Y Overexpression in the Preweanling Zucker (fa/fa) Rat. Physiology & Behavior. 67(4). 521–525. 22 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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