Liang Xu

18.1k total citations · 1 hit paper
69 papers, 2.2k citations indexed

About

Liang Xu is a scholar working on Epidemiology, Molecular Biology and Hepatology. According to data from OpenAlex, Liang Xu has authored 69 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Epidemiology, 22 papers in Molecular Biology and 19 papers in Hepatology. Recurrent topics in Liang Xu's work include Liver Disease Diagnosis and Treatment (29 papers), Hepatitis B Virus Studies (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Liang Xu is often cited by papers focused on Liver Disease Diagnosis and Treatment (29 papers), Hepatitis B Virus Studies (13 papers) and Adipokines, Inflammation, and Metabolic Diseases (10 papers). Liang Xu collaborates with scholars based in China, Japan and Thailand. Liang Xu's co-authors include Tsuguhito Ota, Yinhua Ni, Naoto Nagata, Fen Zhuge, Mayumi Nagashimada, Shuichi Kaneko, Guanliang Chen, Eric Mayoux, Hironori Kitade and Naofumi Mukaida and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Liang Xu

68 papers receiving 2.2k citations

Hit Papers

SGLT2 Inhibition by Empagliflozin Promotes Fat Utilizatio... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Liang Xu China 25 990 676 645 474 382 69 2.2k
Cristina López‐Vicario Spain 28 1.2k 1.2× 755 1.1× 315 0.5× 568 1.2× 346 0.9× 44 2.6k
Michiko Itoh Japan 22 1.4k 1.4× 670 1.0× 419 0.6× 724 1.5× 335 0.9× 34 2.5k
Nadia Panera Italy 27 1.2k 1.2× 747 1.1× 529 0.8× 279 0.6× 285 0.7× 59 2.2k
Kristiaan Wouters Netherlands 28 1.5k 1.5× 1.0k 1.5× 704 1.1× 636 1.3× 471 1.2× 69 3.2k
Ana González‐Périz Spain 20 1.1k 1.1× 717 1.1× 376 0.6× 602 1.3× 294 0.8× 24 2.4k
Eva Morán‐Salvador Spain 14 968 1.0× 653 1.0× 326 0.5× 507 1.1× 240 0.6× 16 2.0k
Fatiha Nassir United States 23 913 0.9× 935 1.4× 632 1.0× 528 1.1× 465 1.2× 43 2.5k
Rafael Mayoral Spain 24 914 0.9× 734 1.1× 251 0.4× 447 0.9× 290 0.8× 32 2.0k
Junping Shi China 30 2.0k 2.0× 922 1.4× 723 1.1× 330 0.7× 295 0.8× 163 3.3k
Susanne Schuster Germany 20 1.1k 1.1× 977 1.4× 276 0.4× 398 0.8× 234 0.6× 27 2.5k

Countries citing papers authored by Liang Xu

Since Specialization
Citations

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

Fields of papers citing papers by Liang Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Xu. A scholar is included among the top collaborators of Liang Xu 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 Xu. Liang Xu 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.
Xu, Liang, et al.. (2025). Exploring the Link Between Noncoding RNAs and Glycolysis in Colorectal Cancer. Journal of Cellular and Molecular Medicine. 29(4). e70443–e70443.
2.
Li, Chan, Rong Wu, Guohui Xue, et al.. (2024). Self-assembly of protein-DNA hybrids dedicated to an accelerated and self-primed strand displacement amplification for reinforced serum microRNA probing. Analytica Chimica Acta. 1308. 342667–342667. 4 indexed citations
3.
Chen, Guanliang, Yanwen Yu, Mayumi Nagashimada, et al.. (2024). Cenicriviroc Suppresses and Reverses Steatohepatitis by Regulating Macrophage Infiltration and M2 Polarization in Mice. Endocrinology. 165(7). 2 indexed citations
4.
Su, Rui, Bei Jiang, Jia Li, et al.. (2024). A novel model based on serum N‐glycan markers for evaluating stage of liver necroinflammation in treatment‐naïve chronic hepatitis B patients. Journal of Medical Virology. 96(8). e29863–e29863. 1 indexed citations
5.
Wang, Xiaowan, et al.. (2023). NAMPT/SIRT1 Expression Levels in White Blood Cells Differentiate the Different Rheumatoid Arthritis Subsets: An Inspiration from Traditional Chinese Medicine. Journal of Inflammation Research. Volume 16. 4271–4285. 8 indexed citations
8.
Wang, Zeyu, Pengzhi Yu, Yonggang Liu, et al.. (2022). Retrospective Evaluation of Non-Invasive Assessment Based on Routine Laboratory Markers for Assessing Advanced Liver Fibrosis in Chronic Hepatitis B Patients. International Journal of General Medicine. Volume 15. 5159–5171. 7 indexed citations
10.
Xu, Liang, Dandan Li, Xue Liang, et al.. (2021). Swertiamarin supplementation prevents obesity-related chronic inflammation and insulin resistance in mice fed a high-fat diet. Adipocyte. 10(1). 160–173. 24 indexed citations
11.
Xu, Liang, et al.. (2021). Sitagliptin protects renal glomerular endothelial cells against high glucose-induced dysfunction and injury. Bioengineered. 13(1). 655–666. 18 indexed citations
12.
Xiao, Jing, et al.. (2020). DPP-4 inhibition resembles exercise in preventing type 2 diabetes development by inhibiting hepatic protein kinase Cε expression in a mouse model of hyperinsulinemia. Journal of International Medical Research. 48(6). 1220734187–1220734187. 2 indexed citations
13.
Ni, Yinhua, Fen Zhuge, Mayumi Nagashimada, et al.. (2019). Lycopene prevents the progression of lipotoxicity-induced nonalcoholic steatohepatitis by decreasing oxidative stress in mice. Free Radical Biology and Medicine. 152. 571–582. 53 indexed citations
14.
Xu, Liang, Naoto Nagata, & Tsuguhito Ota. (2018). Glucoraphanin: a broccoli sprout extract that ameliorates obesity-induced inflammation and insulin resistance. Adipocyte. 7(3). 218–225. 68 indexed citations
15.
Pongkan, Wanpitak, Liang Xu, Naoto Nagata, et al.. (2017). BETA-CRYPTOXANTHIN EXERTS BETTER CARDIOPROTECTION AGAINST CARDIAC ISCHEMIA-REPERFUSION INJURY THAN ASTAXANTHIN VIA PROTECTING MITOCHONDRIAL DYSFUNCTION IN MICE. Journal of the American College of Cardiology. 69(11). 104–104. 1 indexed citations
16.
Shen, Feng, Junping Shi, Liang Xu, et al.. (2014). [A multi-center clinical study of a novel controlled attenuation parameter for assessment of fatty liver].. PubMed. 22(12). 926–31. 4 indexed citations
17.
Wu, Tao, et al.. (2014). The effect of l-carnosine on the circadian resetting of clock genes in the heart of rats. Molecular Biology Reports. 42(1). 87–94. 4 indexed citations
18.
Mi, Yuqiang, Yonggang Liu, Liang Xu, et al.. (2012). The association between hepatic steatosis and HBsAg and HBcAg in chronic hepatitis B patients. Zhonghua xiaohua zazhi. 32(5). 316–319. 1 indexed citations
19.
You, Qi Sheng, Liang Xu, & Jost B. Jonas. (2009). Prevalence of Alcohol Consumption and Risk of Ocular Diseases in a General Population: The Beijing Eye Study. Investigative Ophthalmology & Visual Science. 50(13). 4093–4093. 1 indexed citations
20.
Li, Zhi, et al.. (2007). The research of B cell activativing factor in rheumatoid arthritis patients. 1(9). 11–12. 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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