Liren Liu

1.3k total citations
55 papers, 972 citations indexed

About

Liren Liu is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Pharmacology. According to data from OpenAlex, Liren Liu has authored 55 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Pharmacology. Recurrent topics in Liren Liu's work include Optical measurement and interference techniques (9 papers), Ubiquitin and proteasome pathways (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Liren Liu is often cited by papers focused on Optical measurement and interference techniques (9 papers), Ubiquitin and proteasome pathways (6 papers) and Pharmacological Effects of Natural Compounds (5 papers). Liren Liu collaborates with scholars based in China, United States and Germany. Liren Liu's co-authors include Boyu Pan, Pengbo Zhou, Liang Ma, Yan Yin, Gang Ma, Jianxuan Zhang, Senbiao Fang, Sara Peters, Yue Zhang and Jeffrey Hannah and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Molecular Cell.

In The Last Decade

Liren Liu

54 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
Liren Liu China 16 630 178 134 92 74 55 972
Tong Ying Shun United States 21 686 1.1× 106 0.6× 223 1.7× 64 0.7× 91 1.2× 35 1.4k
Hailong Zhu China 22 654 1.0× 154 0.9× 167 1.2× 82 0.9× 38 0.5× 62 1.2k
Saikat Chakrabarti India 19 609 1.0× 186 1.0× 89 0.7× 48 0.5× 31 0.4× 57 1.1k
Dezső Módos United Kingdom 15 747 1.2× 119 0.7× 88 0.7× 84 0.9× 37 0.5× 37 1.1k
Jianwen Fang United States 17 695 1.1× 92 0.5× 190 1.4× 127 1.4× 53 0.7× 61 1.2k
Nitish K. Mishra United States 21 856 1.4× 132 0.7× 139 1.0× 65 0.7× 46 0.6× 42 1.2k
Weixing Feng China 21 536 0.9× 126 0.7× 122 0.9× 113 1.2× 29 0.4× 88 996
Dongying Li China 17 388 0.6× 176 1.0× 68 0.5× 61 0.7× 66 0.9× 59 787
Ambuj Kumar India 16 627 1.0× 85 0.5× 97 0.7× 108 1.2× 28 0.4× 37 840
Albert Gough United States 25 1.0k 1.6× 112 0.6× 174 1.3× 65 0.7× 139 1.9× 48 2.1k

Countries citing papers authored by Liren Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liren Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liren Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liren Liu. A scholar is included among the top collaborators of Liren 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 Liren Liu. Liren 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.
Chen, Zizhen, Boyang Wang, Boyu Pan, et al.. (2025). Leveraging Network Target Theory for Efficient Prediction of Drug‐Disease Interactions: A Transfer Learning Approach. Advanced Science. 12(11). e2409130–e2409130. 7 indexed citations
2.
Pan, Boyu, Ling Liu, Xiaofeng Wang, et al.. (2025). Multi-omics analysis reveals ACOT1 as the key target of piperine in Piper Longum-mediated gastric cancer treatment. Chinese Medicine. 20(1). 133–133. 1 indexed citations
3.
Pan, Boyu, Zhu Han, Jiaqi Yang, et al.. (2024). From complexity to clarity: development of CHM-FIEFP for predicting effective components in Chinese herbal formulas by using big data. Cancer Biology and Medicine. 21(11). 1–11. 4 indexed citations
4.
Li, Yue, Lirong Zhao, Zhaoxia Liu, et al.. (2024). Baliosperoid A attenuates lipopolysaccharide-induced acute lung injury by targeting SHP2 to inhibit inflammation and oxidative stress. Bioorganic Chemistry. 153. 107982–107982. 1 indexed citations
5.
6.
Fang, Senbiao, et al.. (2023). Collaborative effects of 2019-nCoV-Spike mutants on viral infectivity. Computational and Structural Biotechnology Journal. 21. 5125–5135. 1 indexed citations
7.
Zhang, Wenshuai, Danyang Ren, Yalei Wang, et al.. (2023). ISG15 targets glycosylated PD-L1 and promotes its degradation to enhance antitumor immune effects in lung adenocarcinoma. Journal of Translational Medicine. 21(1). 341–341. 25 indexed citations
8.
Pan, Boyu, et al.. (2022). Cinnamomi Ramulus inhibits the growth of colon cancer cells via Akt/ERK signaling pathways. Chinese Medicine. 17(1). 36–36. 8 indexed citations
9.
Pan, Boyu, Senbiao Fang, Kunpeng Wang, et al.. (2022). Integrated network pharmacology and serum metabolomics approach deciphers the anti-colon cancer mechanisms of Huangqi Guizhi Wuwu Decoction. Frontiers in Pharmacology. 13. 1043252–1043252. 10 indexed citations
10.
Li, Xiaoling, Richard D. Fetter, Tina Schwabe, et al.. (2021). The cAMP effector PKA mediates Moody GPCR signaling in Drosophila blood–brain barrier formation and maturation. eLife. 10. 15 indexed citations
11.
Huang, Chen, Boyu Pan, Senbiao Fang, et al.. (2021). Potential Prospective Biomarkers for Non-small Cell Lung Cancer: Mini-Chromosome Maintenance Proteins. Frontiers in Genetics. 12. 587017–587017. 8 indexed citations
12.
Pan, Boyu, et al.. (2019). Unraveling the action mechanism of polygonum cuspidatum by a network pharmacology approach.. PubMed. 11(11). 6790–6811. 24 indexed citations
13.
Cao, Yunshan, Yahong Li, Juping Liu, et al.. (2019). PF4 antagonizes retinal neovascularization via inhibiting PRAS40 phosphorylation in a mouse model of oxygen-induced retinopathy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1866(3). 165604–165604. 7 indexed citations
14.
Zhao, Jun, et al.. (2019). UBE2C overexpression in melanoma and its essential role in G2/M transition. Journal of Cancer. 10(10). 2176–2184. 37 indexed citations
15.
Pan, Boyu, Yuanyuan Ren, & Liren Liu. (2018). Uncovering the action mechanism of polydatinvianetwork pharmacological target prediction. RSC Advances. 8(34). 18851–18858. 11 indexed citations
16.
Liu, Liren, Yan Yin, Yuewei Li, et al.. (2012). Essential role of the CUL4B ubiquitin ligase in extra-embryonic tissue development during mouse embryogenesis. Cell Research. 22(8). 1258–1269. 58 indexed citations
17.
Liu, Liren, Jennifer Lee, & Pengbo Zhou. (2010). Navigating the nucleotide excision repair threshold. Journal of Cellular Physiology. 224(3). 585–589. 18 indexed citations
18.
Du, Zhanwen, Liren Liu, & Jun‐Wu Zhang. (2002). [Isolation of new Zinc finger genes through cDNA library screening combined with RACE].. PubMed. 24(3). 329–31. 1 indexed citations
19.
Liu, Liren. (1990). Novel contour-mapping methods. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1319. 234–234. 1 indexed citations
20.
Liu, Liren. (1983). Color coding in quasi-interferometry. Applied Optics. 22(19). 3016–3016. 1 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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