Wen Su

2.3k total citations
43 papers, 1.7k citations indexed

About

Wen Su is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Wen Su has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Wen Su's work include Liver Disease Diagnosis and Treatment (10 papers), Cholesterol and Lipid Metabolism (6 papers) and Lipid metabolism and biosynthesis (6 papers). Wen Su is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Cholesterol and Lipid Metabolism (6 papers) and Lipid metabolism and biosynthesis (6 papers). Wen Su collaborates with scholars based in China, United States and Sweden. Wen Su's co-authors include Youfei Guan, Xiaoyan Zhang, Zhenheng Guo, Ming Gong, Jan-Ακε Gustafsson, Zhongwen Xie, Rong Cao, Margaret Warner, Hu Xu and Sha Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Wen Su

42 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wen Su China 24 658 436 421 255 224 43 1.7k
Alberto Díaz‐Ruiz Spain 23 601 0.9× 558 1.3× 375 0.9× 192 0.8× 94 0.4× 42 1.5k
Juan R. Muñoz‐Castañeda Spain 31 769 1.2× 268 0.6× 291 0.7× 222 0.9× 167 0.7× 83 2.9k
Shanghai Chen China 24 594 0.9× 476 1.1× 367 0.9× 125 0.5× 158 0.7× 42 1.3k
Yin Li China 23 530 0.8× 533 1.2× 341 0.8× 203 0.8× 394 1.8× 56 1.7k
Verena Albert Switzerland 15 849 1.3× 493 1.1× 365 0.9× 147 0.6× 137 0.6× 15 1.7k
Greg M. Kowalski Australia 23 831 1.3× 797 1.8× 416 1.0× 224 0.9× 103 0.5× 60 1.8k
Shangang Zhao United States 22 620 0.9× 528 1.2× 322 0.8× 254 1.0× 129 0.6× 39 1.5k
Haiyan Xu United States 24 1.1k 1.7× 823 1.9× 706 1.7× 225 0.9× 123 0.5× 49 2.5k
Carrie M. Elks United States 26 593 0.9× 549 1.3× 375 0.9× 219 0.9× 120 0.5× 39 1.9k
Junhong Gao Japan 20 569 0.9× 523 1.2× 454 1.1× 350 1.4× 186 0.8× 35 1.8k

Countries citing papers authored by Wen Su

Since Specialization
Citations

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

Fields of papers citing papers by Wen Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen Su

This figure shows the co-authorship network connecting the top 25 collaborators of Wen Su. A scholar is included among the top collaborators of Wen Su 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 Wen Su. Wen Su 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.
Song, Chang Myeon, Mi Bai, Wen Su, et al.. (2024). Genetic or pharmacologic blockade of mPGES-2 attenuates renal lipotoxicity and diabetic kidney disease by targeting Rev-Erbα/FABP5 signaling. Cell Reports. 43(4). 114075–114075. 4 indexed citations
2.
Li, Sha, Chenghai Wang, Xiaxia Zhang, & Wen Su. (2021). Cytochrome P450 Omega-Hydroxylase 4a14 Attenuates Cholestatic Liver Fibrosis. Frontiers in Physiology. 12. 688259–688259. 9 indexed citations
3.
Jin, Meiling, Yihong Lai, Qian Shen, et al.. (2020). Effects of peptidoglycan on the development of steatohepatitis. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(4). 158595–158595. 19 indexed citations
4.
Mao, Zhuo, Mingji Feng, Zhuoran Li, et al.. (2020). ETV5 Regulates Hepatic Fatty Acid Metabolism Through PPAR Signaling Pathway. Diabetes. 70(1). 214–226. 42 indexed citations
5.
Guo, Ling, Chunhong Cui, Jiaxin Wang, et al.. (2020). PINCH-1 regulates mitochondrial dynamics to promote proline synthesis and tumor growth. Nature Communications. 11(1). 4913–4913. 58 indexed citations
6.
Wang, Bing, Haibo Zhang, Zhi‐Lin Luan, et al.. (2020). Farnesoid X receptor (FXR) activation induces the antioxidant protein metallothionein 1 expression in mouse liver. Experimental Cell Research. 390(1). 111949–111949. 14 indexed citations
7.
Xing, Bowen, Jian Ma, Zongzhe Jiang, et al.. (2019). GLP-1 signaling suppresses menin’s transcriptional block by phosphorylation in β cells. The Journal of Cell Biology. 218(3). 855–870. 9 indexed citations
8.
Mao, Zhuo, Qing Yang, Wenzhen Yin, et al.. (2019). ETV5 regulates GOAT/ghrelin system in an mTORC1-dependent manner. Molecular and Cellular Endocrinology. 485. 72–80. 4 indexed citations
9.
Xiang, Hong-Chun, Lingling Yu, Wen Su, et al.. (2019). Electroacupuncture inhibits visceral pain via adenosine receptors in mice with inflammatory bowel disease. Purinergic Signalling. 15(2). 193–204. 25 indexed citations
10.
11.
Su, Wen, Zhuo Mao, Xiaoyan Zhang, et al.. (2018). Role of HSD17B13 in the liver physiology and pathophysiology. Molecular and Cellular Endocrinology. 489. 119–125. 49 indexed citations
12.
Zhou, Yunfeng, Jingwei Yu, Jia Liu, et al.. (2017). Induction of cytochrome P450 4A14 contributes to angiotensin II-induced renal fibrosis in mice. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(3). 860–870. 17 indexed citations
13.
Su, Wen, et al.. (2017). Crosstalk of Hyperglycemia and Dyslipidemia in Diabetic Kidney Disease. Kidney Diseases. 3(4). 171–180. 38 indexed citations
14.
Huang, Bo, Yifei Miao, Yubing Dai, et al.. (2016). Dysregulation of Notch and ERα signaling in AhR−/−male mice. Proceedings of the National Academy of Sciences. 113(42). 11883–11888. 39 indexed citations
15.
Miao, Yifei, Wen Su, Bo Huang, et al.. (2016). An ERβ agonist induces browning of subcutaneous abdominal fat pad in obese female mice. Scientific Reports. 6(1). 38579–38579. 30 indexed citations
16.
Wang, Chunjiong, Yujing Chi, Jing Li, et al.. (2013). FAM3A Activates PI3K p110α/Akt Signaling to Ameliorate Hepatic Gluconeogenesis and Lipogenesis. Hepatology. 59(5). 1779–1790. 98 indexed citations
17.
Su, Wen, Zhenheng Guo, David C. Randall, et al.. (2008). Hypertension and disrupted blood pressure circadian rhythm in Type 2 diabetic db/db mice. American Journal of Physiology-Heart and Circulatory Physiology. 295(4). H1634–H1641. 97 indexed citations
18.
Gong, Ming, et al.. (2005). Calcium-independent phospholipase A2modulates cytosolic oxidant activity and contractile function in murine skeletal muscle cells. Journal of Applied Physiology. 100(2). 399–405. 79 indexed citations
19.
Pang, Huan, Zhenheng Guo, Wen Su, et al.. (2005). RhoA-Rho kinase pathway mediates thrombin- and U-46619-induced phosphorylation of a myosin phosphatase inhibitor, CPI-17, in vascular smooth muscle cells. American Journal of Physiology-Cell Physiology. 289(2). C352–C360. 58 indexed citations
20.
Guo, Zhenheng, Wen Su, Zhongmin Ma, George M. Smith, & Ming Gong. (2003). Ca2+-independent Phospholipase A2 Is Required for Agonist-induced Ca2+Sensitization of Contraction in Vascular Smooth Muscle. Journal of Biological Chemistry. 278(3). 1856–1863. 45 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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