Liang Liu

9.4k total citations · 1 hit paper
210 papers, 7.0k citations indexed

About

Liang Liu is a scholar working on Molecular Biology, Pharmacology and Complementary and alternative medicine. According to data from OpenAlex, Liang Liu has authored 210 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Molecular Biology, 67 papers in Pharmacology and 49 papers in Complementary and alternative medicine. Recurrent topics in Liang Liu's work include Plant-based Medicinal Research (34 papers), Ginseng Biological Effects and Applications (30 papers) and Pharmacological Effects of Natural Compounds (29 papers). Liang Liu is often cited by papers focused on Plant-based Medicinal Research (34 papers), Ginseng Biological Effects and Applications (30 papers) and Pharmacological Effects of Natural Compounds (29 papers). Liang Liu collaborates with scholars based in Macao, China and Hong Kong. Liang Liu's co-authors include Hua Zhou, Ying Xie, Wanying Wang, Zhi‐Hong Jiang, Vincent Kam Wai Wong, Yuen Fan Wong, Betty Yuen Kwan Law, Hudan Pan, Pei Luo and Elaine Lai‐Han Leung and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.

In The Last Decade

Liang Liu

205 papers receiving 6.9k citations

Hit Papers

Side effects of methotrexate therapy for rheumatoid arthr... 2018 2026 2020 2023 2018 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Side effects of methotrexate therapy for rheumatoid arthritis: A systematic review
    2018 418 citations Hua Zhou, Liang Liu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Liu Macao 47 3.6k 1.5k 1.3k 1.1k 677 210 7.0k
Chao Huang China 27 3.3k 0.9× 2.2k 1.4× 1.5k 1.2× 1.1k 1.0× 463 0.7× 81 6.2k
Ying Xie China 47 3.4k 0.9× 1.1k 0.7× 701 0.5× 666 0.6× 1.1k 1.6× 288 7.7k
Yue Dai China 43 2.3k 0.7× 704 0.5× 660 0.5× 582 0.5× 528 0.8× 185 5.2k
Yong Wang China 42 5.1k 1.4× 690 0.5× 832 0.6× 1.4k 1.3× 605 0.9× 259 8.2k
Jae‐Young Um South Korea 45 3.5k 1.0× 842 0.5× 867 0.7× 759 0.7× 861 1.3× 263 7.5k
Shu‐Feng Zhou China 55 4.1k 1.1× 2.8k 1.9× 1.2k 0.9× 1.5k 1.3× 2.1k 3.2× 340 11.7k
Zhi‐Ling Yu Hong Kong 47 3.4k 1.0× 1.1k 0.7× 895 0.7× 782 0.7× 593 0.9× 234 7.0k
Yinfeng Yang China 17 2.4k 0.7× 1.5k 1.0× 1.1k 0.9× 762 0.7× 366 0.5× 59 4.7k
Changxiao Liu China 44 4.0k 1.1× 2.2k 1.4× 1.6k 1.2× 1.1k 0.9× 747 1.1× 308 7.6k

Countries citing papers authored by Liang Liu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Liu. A scholar is included among the top collaborators of Liang 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 Liang Liu. Liang 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.
2.
Zhou, Na, Menglin Jiang, Tu-Liang Liang, et al.. (2025). Immunometabolism and oxidative stress: roles and therapeutic strategies in cancer and aging. PubMed. 11(1). 59–59. 3 indexed citations
3.
Liao, Yang, Xian Xiao, Wenming Cheng, et al.. (2025). Natural products in rheumatoid arthritis: Cell type-specific mechanisms and therapeutic implications. Phytomedicine. 145. 156980–156980. 2 indexed citations
4.
Liang, Tu-Liang, Hudan Pan, Peiyu Yan, et al.. (2024). Serum taurine affects lung cancer progression by regulating tumor immune escape mediated by the immune microenvironment. Journal of Advanced Research. 73. 427–442. 7 indexed citations
5.
Li, Zhuo, et al.. (2024). Ortho-digital dynamics: Exploration of advancing digital health technologies in musculoskeletal disease management. Digital Health. 10. 599913325–599913325. 2 indexed citations
6.
Jin, Xin, et al.. (2024). Global research trends and hotspots in Parkinson’s disease psychosis: a 25-year bibliometric and visual analysis. Frontiers in Aging Neuroscience. 16. 1480234–1480234. 1 indexed citations
7.
8.
Zeng, Yaling, Betty Yuen Kwan Law, Simon Wing Fai Mok, et al.. (2023). The potential development of drug resistance in rheumatoid arthritis patients identified with p53 mutations. Genes & Diseases. 10(6). 2252–2255. 4 indexed citations
9.
Wang, Weijie, et al.. (2022). Study on the compatibility principle of Wutou Decoction based on network pharmacology. Digital Chinese Medicine. 5(1). 1–8. 1 indexed citations
10.
Li, Jing, Lang Yi, Ruili Zhu, et al.. (2022). Sinomenine inhibits macrophage M1 polarization by downregulating α7nAChR via a feedback pathway of α7nAChR/ERK/Egr-1. Phytomedicine. 100. 154050–154050. 23 indexed citations
11.
Lin, Ye, et al.. (2021). Systematic review of robust experimental models of rheumatoid arthritis for basic research. Digital Chinese Medicine. 4(4). 262–272. 10 indexed citations
12.
Pan, Hudan, et al.. (2020). Network pharmacological approach for elucidating the mechanisms of traditional Chinese medicine in treating COVID-19 patients. Pharmacological Research. 159. 105043–105043. 19 indexed citations
13.
14.
Sun, Hui, Honglian Zhang, Aihua Zhang, et al.. (2018). Network pharmacology combined with functional metabolomics discover bile acid metabolism as a promising target for mirabilite against colorectal cancer. RSC Advances. 8(53). 30061–30070. 41 indexed citations
15.
Liu, Changxiao, De‐an Guo, & Liang Liu. (2018). Quality transitivity and traceability system of herbal medicine products based on quality markers. Phytomedicine. 44. 247–257. 97 indexed citations
16.
Zhang, Aihua, Jingbo Yu, Hui Sun, et al.. (2018). High-throughput lipidomics characterize key lipid molecules as potential therapeutic targets of Kaixinsan protects against Alzheimer's disease in APP/PS1 transgenic mice. Journal of Chromatography B. 1092. 286–295. 42 indexed citations
17.
Fan, Xing‐Xing, Elaine Lai‐Han Leung, Ying Xie, et al.. (2017). Suppression of Lipogenesis via Reactive Oxygen Species–AMPK Signaling for Treating Malignant and Proliferative Diseases. Antioxidants and Redox Signaling. 28(5). 339–357. 45 indexed citations
18.
Chu, Hin, Jinxia Zhang, Kong‐Hung Sze, et al.. (2016). Hemagglutinin of influenza A virus binds specifically to cell surface nucleolin and plays a role in virus internalization. Virology. 494. 78–88. 55 indexed citations
19.
Liu, Liang. (2009). The toxicity of aconitum alkaloids on cardiocytes and the progress of its research using the methods of molecular toxicology. Journal of Forensic Medicine. 3 indexed citations
20.
Liu, Liang, et al.. (2005). Toxicity Evaluation of Twenty-seven Pesticides to Bombyx mori. Nongyaoxue xuebao. 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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