Meilian Liu

8.2k total citations · 1 hit paper
95 papers, 4.4k citations indexed

About

Meilian Liu is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Meilian Liu has authored 95 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 30 papers in Molecular Biology and 29 papers in Physiology. Recurrent topics in Meilian Liu's work include Adipokines, Inflammation, and Metabolic Diseases (29 papers), Adipose Tissue and Metabolism (28 papers) and Head and Neck Cancer Studies (14 papers). Meilian Liu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (29 papers), Adipose Tissue and Metabolism (28 papers) and Head and Neck Cancer Studies (14 papers). Meilian Liu collaborates with scholars based in China, United States and France. Meilian Liu's co-authors include Feng Liu, Liping Luo, Lily Dong, Yan Luo, Lijun Zhou, Hongzhi Chen, Feng Liu, Jingjing Zhang, Xuexian O. Yang and Xing Zhang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Meilian Liu

90 papers receiving 4.3k citations

Hit Papers

Adipose tissue in control of metabolism 2016 2026 2019 2022 2016 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
Meilian Liu China 35 1.8k 1.6k 1.5k 684 443 95 4.4k
Isao Usui Japan 35 1.7k 1.0× 1.6k 1.0× 2.0k 1.4× 538 0.8× 653 1.5× 103 4.8k
Lily Dong United States 41 2.1k 1.2× 1.7k 1.1× 2.7k 1.8× 688 1.0× 506 1.1× 74 5.2k
Jaswinder K. Sethi United Kingdom 36 1.9k 1.1× 2.2k 1.4× 2.4k 1.6× 539 0.8× 469 1.1× 53 5.9k
Ingrid Wernstedt Asterholm Sweden 30 2.0k 1.1× 2.1k 1.3× 1.1k 0.7× 489 0.7× 438 1.0× 64 4.2k
Jun Eguchi Japan 29 1.1k 0.6× 1.0k 0.7× 1.3k 0.9× 531 0.8× 504 1.1× 68 3.5k
Feng Liu China 41 2.2k 1.2× 2.0k 1.3× 2.7k 1.8× 1.1k 1.6× 550 1.2× 149 6.3k
Pamela Fischer‐Posovszky Germany 38 1.8k 1.0× 2.0k 1.2× 1.9k 1.2× 580 0.8× 394 0.9× 121 4.9k
Pascal Peraldi France 28 1.9k 1.0× 1.8k 1.1× 2.8k 1.9× 548 0.8× 584 1.3× 51 5.8k
Yutaka Takahashi Japan 40 1.4k 0.8× 1.1k 0.7× 1.3k 0.9× 590 0.9× 655 1.5× 213 5.6k
Ingrid Dahlman Sweden 43 1.7k 0.9× 2.5k 1.6× 2.2k 1.5× 508 0.7× 702 1.6× 125 5.8k

Countries citing papers authored by Meilian Liu

Since Specialization
Citations

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

Fields of papers citing papers by Meilian Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meilian Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Meilian Liu. A scholar is included among the top collaborators of Meilian 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 Meilian Liu. Meilian 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.
Wu, Dandan, Xing Zhang, Ruoning Wang, et al.. (2023). Unfolded protein response factor ATF6 augments T helper cell responses and promotes mixed granulocytic airway inflammation. Mucosal Immunology. 16(4). 499–512. 6 indexed citations
3.
Xiao, Ting, Wen Meng, Jing Wang, et al.. (2022). miR-182-5p promotes hepatocyte-stellate cell crosstalk to facilitate liver regeneration. Communications Biology. 5(1). 771–771. 11 indexed citations
5.
Luo, Liping & Meilian Liu. (2022). Adiponectin: friend or foe in obesity and inflammation. SHILAP Revista de lepidopterología. 2(4). 349–362. 34 indexed citations
6.
Wang, Chunqing, Xing Zhang, Liping Luo, et al.. (2022). COX-2 Deficiency Promotes White Adipogenesis via PGE2-Mediated Paracrine Mechanism and Exacerbates Diet-Induced Obesity. Cells. 11(11). 1819–1819. 16 indexed citations
7.
Wang, Chunqing, Xing Zhang, Liping Luo, et al.. (2022). Adipocyte-derived PGE2 is required for intermittent fasting–induced Treg proliferation and improvement of insulin sensitivity. JCI Insight. 7(5). 19 indexed citations
8.
Kim, Hyeoncheol, et al.. (2021). Mitophagy protein PINK1 suppresses colon tumor growth by metabolic reprogramming via p53 activation and reducing acetyl-CoA production. Cell Death and Differentiation. 28(8). 2421–2435. 99 indexed citations
9.
Zhou, Haiyan, Xinyi Peng, Hairong Luo, et al.. (2021). DsbA-L deficiency in T cells promotes diet-induced thermogenesis through suppressing IFN-γ production. Nature Communications. 12(1). 326–326. 21 indexed citations
10.
Meng, Wen, Ting Xiao, Jie Wen, et al.. (2021). The miR-182-5p/FGF21/acetylcholine axis mediates the crosstalk between adipocytes and macrophages to promote beige fat thermogenesis. JCI Insight. 6(17). 22 indexed citations
11.
Luo, Liping, et al.. (2021). Glucocorticoid/Adiponectin Axis Mediates Full Activation of Cold-Induced Beige Fat Thermogenesis. Biomolecules. 11(11). 1573–1573. 6 indexed citations
12.
Rosa, Simone C. da Silva, Meilian Liu, & Gary Sweeney. (2021). Adiponectin Synthesis, Secretion and Extravasation from Circulation to Interstitial Space. Physiology. 36(3). 134–149. 51 indexed citations
13.
Wang, Lu, Yan Luo, Liping Luo, et al.. (2020). Adiponectin restrains ILC2 activation by AMPK-mediated feedback inhibition of IL-33 signaling. The Journal of Experimental Medicine. 218(2). 46 indexed citations
14.
Sharma, Geetanjali, Chelin Hu, Daniela I. Staquicini, et al.. (2020). Preclinical efficacy of the GPER-selective agonist G-1 in mouse models of obesity and diabetes. Science Translational Medicine. 12(528). 74 indexed citations
15.
Zhou, Zhangsen, Mauricio Torres, Haibo Sha, et al.. (2020). Endoplasmic reticulum–associated degradation regulates mitochondrial dynamics in brown adipocytes. Science. 368(6486). 54–60. 147 indexed citations
16.
Bai, Juli, Christopher Cervantes, Sijia He, et al.. (2020). Mitochondrial stress-activated cGAS-STING pathway inhibits thermogenic program and contributes to overnutrition-induced obesity in mice. Communications Biology. 3(1). 257–257. 73 indexed citations
17.
Zhang, Xing, Dandan Wu, Chunqing Wang, et al.. (2019). Sustained activation of autophagy suppresses adipocyte maturation via a lipolysis-dependent mechanism. Autophagy. 16(9). 1668–1682. 36 indexed citations
18.
Li, Xiangyong, Fumei Liu, Bihua Lin, et al.. (2017). miR-150 inhibits proliferation and tumorigenicity via retarding G1/S phase transition in nasopharyngeal carcinoma. International Journal of Oncology. 50(4). 1097–1108. 64 indexed citations
19.
Wang, Rensheng, Fang Wu, Guosheng Feng, et al.. (2012). Definitive intensity-modulated radiation therapy for nasopharyngeal carcinoma: long-term outcome of a multicenter prospective study. Journal of Cancer Research and Clinical Oncology. 139(1). 139–145. 45 indexed citations
20.
Liu, Meilian, Lijun Zhou, Aimin Xu, et al.. (2008). A disulfide-bond A oxidoreductase-like protein (DsbA-L) regulates adiponectin multimerization. Proceedings of the National Academy of Sciences. 105(47). 18302–18307. 171 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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