Keshu Xu

564 total citations
30 papers, 417 citations indexed

About

Keshu Xu is a scholar working on Hepatology, Epidemiology and Molecular Biology. According to data from OpenAlex, Keshu Xu has authored 30 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Hepatology, 11 papers in Epidemiology and 9 papers in Molecular Biology. Recurrent topics in Keshu Xu's work include Liver physiology and pathology (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Disease and Transplantation (9 papers). Keshu Xu is often cited by papers focused on Liver physiology and pathology (12 papers), Liver Disease Diagnosis and Treatment (10 papers) and Liver Disease and Transplantation (9 papers). Keshu Xu collaborates with scholars based in China. Keshu Xu's co-authors include Fei Liang, Qianqian Jiang, Xiaoling Deng, Shuhan Wang, Guixin Li, Liang Deng, Yuhu Song, Dong Xu, Pei Wang and Chunwei Cheng and has published in prestigious journals such as Scientific Reports, Journal of Ethnopharmacology and Alimentary Pharmacology & Therapeutics.

In The Last Decade

Keshu Xu

29 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keshu Xu China 13 141 120 109 100 62 30 417
Ermei Chen China 14 185 1.3× 154 1.3× 155 1.4× 97 1.0× 56 0.9× 20 508
C. Lisa Kurtz United States 16 488 3.5× 106 0.9× 43 0.4× 82 0.8× 101 1.6× 22 885
Kwangsik Chun South Korea 9 106 0.8× 161 1.3× 90 0.8× 123 1.2× 16 0.3× 18 478
Lijie Sun China 18 173 1.2× 413 3.4× 378 3.5× 88 0.9× 43 0.7× 33 794
Shiho Natori Japan 8 209 1.5× 244 2.0× 254 2.3× 253 2.5× 75 1.2× 20 643
Yuan Zhuang China 10 108 0.8× 195 1.6× 115 1.1× 45 0.5× 16 0.3× 21 365
Sheng‐Mao Wu Taiwan 11 165 1.2× 48 0.4× 18 0.2× 61 0.6× 30 0.5× 21 421
Manuel I. Doria United States 11 134 1.0× 65 0.5× 65 0.6× 160 1.6× 40 0.6× 19 607
Raghubendra Singh Dagur United States 13 269 1.9× 128 1.1× 79 0.7× 17 0.2× 34 0.5× 26 528
William Meyers United States 12 157 1.1× 104 0.9× 58 0.5× 307 3.1× 22 0.4× 21 736

Countries citing papers authored by Keshu Xu

Since Specialization
Citations

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

Fields of papers citing papers by Keshu Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keshu Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Keshu Xu. A scholar is included among the top collaborators of Keshu 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 Keshu Xu. Keshu 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.
Song, Yuhu, Hongyu Xiang, Yu Zhang, et al.. (2022). Difference between type 2 gastroesophageal varices and isolated fundic varices in clinical profiles and portosystemic collaterals. World Journal of Clinical Cases. 10(17). 5620–5633. 1 indexed citations
2.
Li, Jiahuan, Xiaoling Deng, Shuhan Wang, Qianqian Jiang, & Keshu Xu. (2021). Resolvin D1 attenuates CCl4 Induced Liver Fibrosis by Inhibiting Autophagy-Mediated HSC activation via AKT/mTOR Pathway. Frontiers in Pharmacology. 12. 792414–792414. 25 indexed citations
3.
Xin, Shengliang, Xia Yang, Yuping Zhang, & Keshu Xu. (2021). Zhikang Capsule Ameliorates Inflammation, Drives Polarization to M2 Macrophages, and Inhibits Apoptosis in Lipopolysaccharide-induced RAW264.7 Cells. Current Medical Science. 41(6). 1214–1224. 2 indexed citations
4.
Li, Jiahuan, Xiaoling Deng, Liyu Wang, Jingsong Liu, & Keshu Xu. (2020). Clinical application of carbon nanoparticles in lymphatic mapping during colorectal cancer surgeries: A systematic review and meta-analysis. Digestive and Liver Disease. 52(12). 1445–1454. 20 indexed citations
5.
6.
Zhang, Ning, Yuli Wang, Junli Zhang, et al.. (2019). Diallyl disulfide attenuates non‑alcoholic steatohepatitis by suppressing key regulators of lipid metabolism, lipid peroxidation and inflammation in mice. Molecular Medicine Reports. 20(2). 1363–1372. 21 indexed citations
7.
Li, Guixin, Qianqian Jiang, & Keshu Xu. (2019). CREB family: A significant role in liver fibrosis. Biochimie. 163. 94–100. 26 indexed citations
8.
Xu, Keshu, et al.. (2018). Unusual cause of lesions in the descending duodenum and liver: A case report and review of literature. World Journal of Clinical Cases. 6(11). 472–476. 1 indexed citations
9.
Deng, Liang, et al.. (2017). CREB1 and Smad3 mediate TGF-β3-induced Smad7 expression in rat hepatic stellate cells. Molecular Medicine Reports. 16(6). 8455–8462. 19 indexed citations
10.
Zhang, Ning, et al.. (2017). Changes in hydrogen sulfide in rats with hepatic cirrhosis in different stages. Current Medical Science. 37(5). 705–710. 9 indexed citations
11.
Wang, Liyun, Lei Tu, Jinping Zhang, Keshu Xu, & Wei Qian. (2017). Stellate Cell Activation and Imbalanced Expression of TGF-β1/TGF-β3 in Acute Autoimmune Liver Lesions Induced by ConA in Mice. BioMed Research International. 2017. 1–12. 11 indexed citations
12.
Wang, Pei, Liang Deng, Chunbo Zhuang, Chunwei Cheng, & Keshu Xu. (2016). p-CREB-1 promotes hepatic fibrosis through the transactivation of transforming growth factor-β1 expression in rats. International Journal of Molecular Medicine. 38(2). 521–528. 23 indexed citations
13.
14.
Deng, Xiaoling, Liang Deng, Pei Wang, Chunwei Cheng, & Keshu Xu. (2016). Post-translational modification of CREB-1 decreases collagen I expression by inhibiting the TGF-β1 signaling pathway in rat hepatic stellate cells. Molecular Medicine Reports. 14(6). 5751–5759. 12 indexed citations
15.
Liu, Fang, Xinjuan Kong, Dong Xu, et al.. (2014). Evaluation of tumor markers for the differential diagnosis of benign and malignant ascites. Annals of Hepatology. 13(3). 357–363. 40 indexed citations
16.
Li, Ying, et al.. (2011). [Effects of exogenous TGF-β3 on the expression of endogenous TGF-β3 in hepatic stellate cell-T6 (HSC-T6)].. PubMed. 19(11). 843–7. 1 indexed citations
17.
Zhang, Yi, Ping Liu, Xiaoliang Gao, Wei Qian, & Keshu Xu. (2010). rAAV2-TGF-β3 Decreases Collagen Synthesis and Deposition in the Liver of Experimental Hepatic Fibrosis Rat. Digestive Diseases and Sciences. 55(10). 2821–2830. 22 indexed citations
18.
Yang, Ling, Rui Zhu, Dan Dan, et al.. (2009). Influence of β-elemene on the secretion of angiotensin II and expression of AT1R in hepatic stellate cells. Frontiers of Medicine in China. 3(1). 36–40. 1 indexed citations
19.
Li, Qi, et al.. (2008). [Influence of recombinant transforming growth factor-beta3 on collagen synthesis and deposition: experiment with rat cell model of liver fibrosis].. PubMed. 88(18). 1273–8. 3 indexed citations
20.
Xu, Keshu, et al.. (1996). [Inhibitory effect of tetrandrine on collagen synthesis of experimental hepatic fibrosis in rats].. PubMed. 21(3). 177–9, 192. 5 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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