Sen Liu

503 total citations
14 papers, 352 citations indexed

About

Sen Liu is a scholar working on Molecular Biology, Pharmacology and Cancer Research. According to data from OpenAlex, Sen Liu has authored 14 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in Cancer Research. Recurrent topics in Sen Liu's work include Peroxisome Proliferator-Activated Receptors (4 papers), Inflammatory mediators and NSAID effects (3 papers) and NF-κB Signaling Pathways (3 papers). Sen Liu is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (4 papers), Inflammatory mediators and NSAID effects (3 papers) and NF-κB Signaling Pathways (3 papers). Sen Liu collaborates with scholars based in China, South Korea and United Kingdom. Sen Liu's co-authors include Jee H. Jung, Mingzhi Su, Shao‐Jiang Song, Jiang Feng, Yanhong Xiao, Aoqiang Li, Hanbo Zhao, Jongki Hong, Graeme Milligan and Hae Young Chung and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Frontiers in Microbiology.

In The Last Decade

Sen Liu

14 papers receiving 349 citations

Peers

Sen Liu
Alberto van Olphen United States
Vedanjali Gogineni United States
James E. Curotto United States
H Neychev Bulgaria
Rurun Wang United States
Sen Liu
Citations per year, relative to Sen Liu Sen Liu (= 1×) peers Pengwei Li

Countries citing papers authored by Sen Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sen Liu

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

All Works

14 of 14 papers shown
1.
Wang, Yuping, et al.. (2020). A path recorder algorithm for Multiple Longest Common Subsequences (MLCS) problems. Bioinformatics. 36(10). 3035–3042. 9 indexed citations
2.
Liu, Sen, et al.. (2019). Seasonal Changes in Gut Microbiota Diversity and Composition in the Greater Horseshoe Bat. Frontiers in Microbiology. 10. 2247–2247. 68 indexed citations
3.
Liu, Gang, Lianlei Wang, Xinyu Wang, et al.. (2019). Whole-Genome Methylation Analysis of Phenotype Discordant Monozygotic Twins Reveals Novel Epigenetic Perturbation Contributing to the Pathogenesis of Adolescent Idiopathic Scoliosis. Frontiers in Bioengineering and Biotechnology. 7. 364–364. 15 indexed citations
4.
Xiao, Yanhong, Heng Liu, Xin Zhao, et al.. (2019). Captivity causes taxonomic and functional convergence of gut microbial communities in bats. PeerJ. 7(5). e6844–e6844. 22 indexed citations
5.
Liu, Sen, Ying Wang, Mingzhi Su, et al.. (2018). A bile acid derivative with PPARγ-mediated anti-inflammatory activity. Steroids. 137. 40–46. 7 indexed citations
6.
Huang, Xiao‐Xiao, Zhiyang Yan, Sen Liu, Xiaobo Wang, & Shao‐Jiang Song. (2018). Investigation of chemical constituents of safflower and their tyrosinase inhibitory activity. Journal of Asian Natural Products Research. 21(3). 248–256. 10 indexed citations
7.
Liu, Sen, Mingzhi Su, Shao‐Jiang Song, et al.. (2018). An Anti-Inflammatory PPAR-γ Agonist from the Jellyfish-Derived Fungus Penicillium chrysogenum J08NF-4. Journal of Natural Products. 81(2). 356–363. 32 indexed citations
8.
Lou, Li‐Li, Sen Liu, Zhiyang Yan, et al.. (2017). Tetrahydro -β -Carboline alkaloids from Carthamus tinctorius L. with tyrosinase inhibitory activity. Phytochemistry Letters. 22. 107–112. 11 indexed citations
9.
Su, Mingzhi, Jiafu Cao, Jin Huang, et al.. (2017). The In Vitro and In Vivo Anti-Inflammatory Effects of a Phthalimide PPAR-γ Agonist. Marine Drugs. 15(1). 7–7. 44 indexed citations
10.
Liu, Sen, Mingzhi Su, Shao‐Jiang Song, & Jee H. Jung. (2017). Marine-Derived Penicillium Species as Producers of Cytotoxic Metabolites. Marine Drugs. 15(10). 329–329. 63 indexed citations
11.
Li, Feifei, Qian Sun, Di Wang, et al.. (2016). Chiral Separation of Cytotoxic Flavan Derivatives from Daphne giraldii. Journal of Natural Products. 79(9). 2236–2242. 16 indexed citations
12.
Liu, Sen, Mingzhi Su, Tae Won Noh, et al.. (2016). Synthesis of Phthalimide Derivatives as Potential PPAR-γ Ligands. Marine Drugs. 14(6). 112–112. 12 indexed citations
13.
Chen, Wei‐Sheng, Jiaqi Liu, Yuzhi Zuo, et al.. (2016). Progress and perspective ofTBX6gene in congenital vertebral malformations. Oncotarget. 7(35). 57430–57441. 14 indexed citations
14.
Liu, Sen, Juan J. Carrillo, John D. Pediani, & Graeme Milligan. (2002). Effective Information Transfer from the α1b-Adrenoceptor to Gα11 Requires Both β/γ Interactions and an Aromatic Group Four Amino Acids from the C Terminus of the G Protein. Journal of Biological Chemistry. 277(28). 25707–25714. 29 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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