Feng Liu

8.6k total citations · 1 hit paper
149 papers, 6.3k citations indexed

About

Feng Liu is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Feng Liu has authored 149 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 53 papers in Epidemiology and 43 papers in Physiology. Recurrent topics in Feng Liu's work include Adipokines, Inflammation, and Metabolic Diseases (43 papers), Adipose Tissue and Metabolism (40 papers) and Metabolism, Diabetes, and Cancer (21 papers). Feng Liu is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (43 papers), Adipose Tissue and Metabolism (40 papers) and Metabolism, Diabetes, and Cancer (21 papers). Feng Liu collaborates with scholars based in China, United States and United Kingdom. Feng Liu's co-authors include Lily Dong, Meilian Liu, Juli Bai, Paul R. Langlais, Xuming Mao, Fresnida J. Ramos, Lijun Zhou, Chintan K. Kikani, Lixin Wang and Fang Hu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Feng Liu

147 papers receiving 6.2k citations

Hit Papers

APPL1 binds to adiponectin receptors and mediates adipone... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Liu China 41 2.7k 2.2k 2.0k 1.1k 550 149 6.3k
Karen Inouye United States 24 2.5k 0.9× 2.3k 1.1× 2.2k 1.1× 1.3k 1.2× 697 1.3× 39 6.2k
Lily Dong United States 41 2.7k 1.0× 2.1k 1.0× 1.7k 0.8× 688 0.6× 506 0.9× 74 5.2k
Laura Herrero Spain 33 2.0k 0.8× 2.5k 1.1× 2.5k 1.2× 1.3k 1.2× 659 1.2× 80 6.6k
Pascal Peraldi France 28 2.8k 1.1× 1.9k 0.8× 1.8k 0.9× 548 0.5× 584 1.1× 51 5.8k
Saswata Talukdar United States 32 3.2k 1.2× 2.5k 1.1× 2.3k 1.1× 1.0k 0.9× 1.1k 1.9× 48 7.3k
Qiong Wang China 44 2.6k 1.0× 2.8k 1.3× 3.7k 1.8× 1.0k 0.9× 542 1.0× 141 7.6k
Jaswinder K. Sethi United Kingdom 36 2.4k 0.9× 1.9k 0.9× 2.2k 1.1× 539 0.5× 469 0.9× 53 5.9k
Hang Shi United States 44 3.2k 1.2× 3.1k 1.4× 3.6k 1.8× 1.6k 1.5× 908 1.7× 103 9.4k
Sandra Galić Australia 33 3.3k 1.2× 1.6k 0.7× 1.9k 0.9× 841 0.8× 1.1k 2.0× 54 6.0k
Meilian Liu China 35 1.5k 0.6× 1.8k 0.8× 1.6k 0.8× 684 0.6× 443 0.8× 95 4.4k

Countries citing papers authored by Feng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Liu. A scholar is included among the top collaborators of Feng 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 Feng Liu. Feng 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.
Liu, Juanhong, Qiuxia Huang, & Feng Liu. (2025). Fat talks first: how adipose tissue sets the pace of aging?. PubMed. 4(5). lnaf028–lnaf028.
2.
Ryu, Jiyoon, M. Smith, Juli Bai, et al.. (2024). Diet-enhanced LRG1 expression promotes insulin hypersecretion and ER stress in pancreatic beta cells. Diabetologia. 68(3). 615–628. 2 indexed citations
3.
Zhu, Man, Xiaoyu Tang, Wenjuan Tang, et al.. (2023). STING activation in macrophages by vanillic acid exhibits antineoplastic potential. Biochemical Pharmacology. 213. 115618–115618. 28 indexed citations
4.
Xiao, Yang, Yanfei Wang, Jiyoon Ryu, et al.. (2023). Upregulated TGF-β1 contributes to hyperglycaemia in type 2 diabetes by potentiating glucagon signalling. Diabetologia. 66(6). 1142–1155. 15 indexed citations
5.
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
7.
He, Lili, et al.. (2022). E3 Ubiquitin Ligase RNF125 Suppresses Immune Escape in Head and Neck Squamous Cell Carcinoma by Regulating PD-L1 Expression. Molecular Biotechnology. 65(6). 891–903. 10 indexed citations
8.
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
9.
Ryu, Jiyoon, Zhi Li, Feng Dong, et al.. (2021). Adiponectin Alleviates Diet-Induced Inflammation in the Liver by Suppressing MCP-1 Expression and Macrophage Infiltration. Diabetes. 70(6). 1303–1316. 35 indexed citations
10.
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
11.
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
12.
Zhou, Haiyan, et al.. (2021). Immunological Impact of Intestinal T Cells on Metabolic Diseases. Frontiers in Immunology. 12. 639902–639902. 13 indexed citations
13.
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
14.
Li, Xiaozhou, Jian Pan, Huiling Li, et al.. (2020). DsbA-L mediated renal tubulointerstitial fibrosis in UUO mice. Nature Communications. 11(1). 4467–4467. 84 indexed citations
15.
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
16.
Zhang, Jingjing & Feng Liu. (2020). The De-, Re-, and trans-differentiation of β-cells: Regulation and function. Seminars in Cell and Developmental Biology. 103. 68–75. 19 indexed citations
17.
Wei, Shijie, et al.. (2015). Successful Single-Stage Operation for Loeys-Dietz Syndrome With Critical Coarctation of the Descending Aorta in a Young Adult. Canadian Journal of Cardiology. 32(10). 1260.e15–1260.e17. 5 indexed citations
18.
Liu, Meilian, RuiHua Xiang, Ning Zhang, et al.. (2012). Fat-Specific DsbA-L Overexpression Promotes Adiponectin Multimerization and Protects Mice From Diet-Induced Obesity and Insulin Resistance. Diabetes. 61(11). 2776–2786. 63 indexed citations
19.
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
20.
Yang, Linda, et al.. (2004). Roles of PDK-1 and PKN in regulating cell migration and cortical actin formation of PTEN-knockout cells. Oncogene. 23(58). 9348–9358. 30 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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