Zhufang Shen

3.2k total citations
120 papers, 2.5k citations indexed

About

Zhufang Shen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Zhufang Shen has authored 120 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Molecular Biology, 35 papers in Endocrinology, Diabetes and Metabolism and 33 papers in Surgery. Recurrent topics in Zhufang Shen's work include Metabolism, Diabetes, and Cancer (28 papers), Pancreatic function and diabetes (27 papers) and Diabetes Treatment and Management (19 papers). Zhufang Shen is often cited by papers focused on Metabolism, Diabetes, and Cancer (28 papers), Pancreatic function and diabetes (27 papers) and Diabetes Treatment and Management (19 papers). Zhufang Shen collaborates with scholars based in China, United States and United Kingdom. Zhufang Shen's co-authors include Yajie Wang, Shuainan Liu, Yi Huan, Sujuan Sun, Caina Li, Quan Liu, Lei Lei, Pingping Li, Quan Liu and Min Xie and has published in prestigious journals such as Cell, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Zhufang Shen

117 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhufang Shen China 28 1.3k 617 431 403 307 120 2.5k
Heyao Wang China 30 1.2k 0.9× 354 0.6× 359 0.8× 242 0.6× 250 0.8× 111 2.4k
Evangelia Tsiani Canada 37 2.0k 1.5× 560 0.9× 347 0.8× 674 1.7× 338 1.1× 87 3.9k
Ying Leng China 29 1.3k 1.0× 463 0.8× 435 1.0× 259 0.6× 216 0.7× 103 2.5k
Gábor Bánhegyi Hungary 35 1.3k 1.0× 517 0.8× 319 0.7× 382 0.9× 689 2.2× 99 3.4k
Jin‐Taek Hwang South Korea 30 2.0k 1.5× 466 0.8× 264 0.6× 559 1.4× 535 1.7× 111 3.6k
Ahmed Bettaieb United States 32 1.3k 1.0× 651 1.1× 449 1.0× 876 2.2× 659 2.1× 80 3.3k
Tom Huang Australia 23 1.2k 0.9× 466 0.8× 185 0.4× 257 0.6× 232 0.8× 43 2.4k
Michel Wierzbicki France 11 1.6k 1.2× 619 1.0× 582 1.4× 899 2.2× 867 2.8× 16 3.1k
Samson Mathews Samuel Qatar 39 2.1k 1.6× 299 0.5× 320 0.7× 449 1.1× 266 0.9× 77 4.1k
Nan Qin China 30 1.2k 0.9× 474 0.8× 533 1.2× 180 0.4× 213 0.7× 120 2.5k

Countries citing papers authored by Zhufang Shen

Since Specialization
Citations

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

Fields of papers citing papers by Zhufang Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhufang Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhufang Shen. A scholar is included among the top collaborators of Zhufang Shen 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 Zhufang Shen. Zhufang Shen 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.
Tong, Qin, Xuefeng Gao, Lei Lei, et al.. (2023). Machine learning- and structure-based discovery of a novel chemotype as FXR agonists for potential treatment of nonalcoholic fatty liver disease. European Journal of Medicinal Chemistry. 252. 115307–115307. 8 indexed citations
2.
Yu, Peng, Yi Huan, Jingjing Chen, et al.. (2023). Microbial biotransformation to obtain stilbene methylglucoside with GPR119 agonistic activity. Frontiers in Microbiology. 14. 1148513–1148513. 5 indexed citations
4.
Huan, Yi, Shuainan Liu, Caina Li, et al.. (2022). Diphenyl Diselenide Alleviates Tert-Butyl Hydrogen Peroxide-Induced Oxidative Stress and Lipopolysaccharide-Induced Inflammation in Rat Glomerular Mesangial Cells. International Journal of Molecular Sciences. 23(19). 11215–11215. 12 indexed citations
5.
Tong, Qin, Xuefeng Gao, Lei Lei, et al.. (2022). Structural optimization and biological evaluation of 1-adamantylcarbonyl-4-phenylpiperazine derivatives as FXR agonists for NAFLD. European Journal of Medicinal Chemistry. 245(Pt 1). 114903–114903. 10 indexed citations
6.
Xia, Jie, Zhenyi Wang, Yi Huan, et al.. (2020). Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists. Journal of Chemical Information and Modeling. 60(3). 1202–1214. 10 indexed citations
7.
8.
Liu, Quan, Jiaming Liu, Kaixuan Liu, et al.. (2019). Selective synthesis of 3-deoxy-5-hydroxy-1-amino-carbasugars as potential α-glucosidase inhibitors. Organic & Biomolecular Chemistry. 17(21). 5381–5391. 7 indexed citations
9.
Wang, Xing, Lei Lei, Minzhi Liu, et al.. (2019). Berberine combined with stachyose induces better glycometabolism than berberine alone through modulating gut microbiota and fecal metabolomics in diabetic mice. Phytotherapy Research. 34(5). 1166–1174. 49 indexed citations
10.
Guo, Nan, Caina Li, Quan Liu, et al.. (2018). Maltol, a food flavor enhancer, attenuates diabetic peripheral neuropathy in streptozotocin-induced diabetic rats. Food & Function. 9(12). 6287–6297. 29 indexed citations
11.
Huan, Yi, Qian Jiang, Gang Li, et al.. (2017). The dual DPP4 inhibitor and GPR119 agonist HBK001 regulates glycemic control and beta cell function ex and in vivo. Scientific Reports. 7(1). 4351–4351. 28 indexed citations
12.
Li, Pingping, Shuainan Liu, Min Lü, et al.. (2016). Hematopoietic-Derived Galectin-3 Causes Cellular and Systemic Insulin Resistance. Cell. 167(4). 973–984.e12. 240 indexed citations
13.
Li, Caina, et al.. (2016). Effects of berberine compatible with stachyose on glucolipid metabolism and gut microbiota in diabetic mice. 32(12). 1124. 2 indexed citations
14.
Cheng, Long, et al.. (2015). [Advances in diabetic animal models and its application in the traditional Chinese medicine research].. PubMed. 50(8). 951–8. 2 indexed citations
15.
Shen, Zhufang. (2010). The ameliorative effects of mulberry nectar on alcoholism. Food and Machinery. 1 indexed citations
16.
Shen, Zhufang. (2007). Anti-diabetic activity of the extraction from Cansha(Bombyx mori L.) as a novel alpha-glucosidase inhibitor. Zhongguo xin yao zazhi.
17.
Shen, Zhufang. (2004). Anti-diabetic mechanism of alkaloids in Coptis chinensis. Zhongcaoyao. 2 indexed citations
18.
Chiou, George C.Y., et al.. (1992). Effects of Some Natural Products on Sugar Cataract Studied with Nuclear Magnetic Resonance Spectroscopy. Journal of Ocular Pharmacology and Therapeutics. 8(2). 115–120. 3 indexed citations
19.
Chiou, George C.Y., et al.. (1991). Systemic Absorption of Oxytocin and Vasopressin Through Eyes in Rabbits. Journal of Ocular Pharmacology and Therapeutics. 7(4). 351–359. 8 indexed citations
20.
Chiou, George C.Y., et al.. (1990). Adjustment of Blood Sugar Levels with Insulin and Glucagon Eyedrops in Normal and Diabetic Rabbits. Journal of Ocular Pharmacology and Therapeutics. 6(3). 233–241. 20 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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