Shu Chen

1.5k total citations
47 papers, 1.1k citations indexed

About

Shu Chen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Shu Chen has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Epidemiology. Recurrent topics in Shu Chen's work include Hydrological Forecasting Using AI (4 papers), Hydrology and Watershed Management Studies (4 papers) and Cancer-related molecular mechanisms research (3 papers). Shu Chen is often cited by papers focused on Hydrological Forecasting Using AI (4 papers), Hydrology and Watershed Management Studies (4 papers) and Cancer-related molecular mechanisms research (3 papers). Shu Chen collaborates with scholars based in China, United States and United Kingdom. Shu Chen's co-authors include Miaomiao Ren, Wei Sun, Melissa Shaw, Sonia Caprio, James Dziura, Anna M. G. Cali, Akira Shimotoyodome, Noriko Osaki, Yutong Xie and Francisco Arnalich and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and Hepatology.

In The Last Decade

Shu Chen

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Chen China 18 293 246 207 162 130 47 1.1k
Haiying Chen China 25 231 0.8× 631 2.6× 135 0.7× 358 2.2× 303 2.3× 111 2.2k
Samuel Park United States 16 86 0.3× 182 0.7× 219 1.1× 216 1.3× 348 2.7× 43 1.1k
Xiaomin Ye China 16 90 0.3× 334 1.4× 98 0.5× 178 1.1× 80 0.6× 66 1.5k
Tingting Shi China 25 124 0.4× 739 3.0× 243 1.2× 133 0.8× 132 1.0× 109 1.7k
Jeffrey L. Miller United States 23 235 0.8× 364 1.5× 102 0.5× 206 1.3× 170 1.3× 87 1.6k
Pengfei Li China 22 231 0.8× 553 2.2× 304 1.5× 225 1.4× 242 1.9× 159 2.2k
Melanie Tran Australia 20 68 0.2× 427 1.7× 203 1.0× 112 0.7× 126 1.0× 47 1.2k

Countries citing papers authored by Shu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Chen. A scholar is included among the top collaborators of Shu Chen 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 Shu Chen. Shu Chen 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.
Wu, Fei, Shu Chen, Guangwei Gao, Yimu Ji, & Xiao‐Yuan Jing. (2025). Balanced Multi-modal Learning with Hierarchical Fusion for Fake News Detection. Pattern Recognition. 164. 111485–111485. 3 indexed citations
2.
Zhang, Donglu, Bin Ma, Peter S. Dragovich, et al.. (2024). Tissue distribution and retention drives efficacy of rapidly clearing VHL-based PROTACs. SHILAP Revista de lepidopterología. 4(1). 87–87. 8 indexed citations
3.
Levy, Elizabeth S., An D. Nguyen, Donglu Zhang, et al.. (2023). Development of Liposome Systems for Enhancing the PK Properties of Bivalent PROTACs. Pharmaceutics. 15(8). 2098–2098. 12 indexed citations
4.
Kang, Rong, Shu Chen, Yong Yu, et al.. (2023). The mechanism of vitamin D3 in preventing colorectal cancer through network pharmacology. Frontiers in Pharmacology. 14. 1192210–1192210. 6 indexed citations
5.
Hu, Rong, et al.. (2023). Qingguang'an-induced autophagy in TFs inhibits scar formation: A follow-up in vivo mechanistic investigation. Journal of Traditional and Complementary Medicine. 14(2). 173–181. 1 indexed citations
6.
Ye, Zaisheng, Yi Zeng, Yi Wang, et al.. (2021). Prognostic value of preoperative body mass index for diabetic patients with non-metastasis gastric cancer: a single center experience. BMC Surgery. 21(1). 320–320. 3 indexed citations
7.
8.
Ye, Zaisheng, Miao Zheng, Yi Zeng, et al.. (2020). Bioinformatics Analysis Reveals an Association Between Cancer Cell Stemness, Gene Mutations, and the Immune Microenvironment in Stomach Adenocarcinoma. Frontiers in Genetics. 11. 595477–595477. 21 indexed citations
9.
Guo, Jing, Xiaoping Zhang, Christopher S. Peacock, et al.. (2020). Linking the westernised oropharyngeal microbiome to the immune response in Chinese immigrants. Allergy Asthma and Clinical Immunology. 16(1). 67–67. 10 indexed citations
10.
Chen, Shu & Hong Shen. (2016). Semantic-Aware Dummy Selection for Location Privacy Preservation. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 752–759. 17 indexed citations
11.
Chen, Shu, et al.. (2016). Identification of a novel B allele with missense mutation (c.98G > C) in the ABO gene. Transfusion. 57(1). 219–220. 13 indexed citations
12.
Chen, Shu, Ming Luo, Yuming Zhao, et al.. (2015). Fasudil Stimulates Neurite Outgrowth and Promotes Differentiation in C17.2 Neural Stem Cells by Modulating Notch Signalling but not Autophagy. Cellular Physiology and Biochemistry. 36(2). 531–541. 21 indexed citations
13.
Betterle, Corrado, Riccardo Scarpa, Silvia Garelli, et al.. (2013). Addison's disease: a survey on 633 patients in Padova. European Journal of Endocrinology. 169(6). 773–784. 62 indexed citations
14.
Wang, Haixia, Jing Zhang, Liangdan Tang, et al.. (2013). NEDD9 overexpression is associated with the progression of and an unfavorable prognosis in epithelial ovarian cancer. Human Pathology. 45(2). 401–408. 19 indexed citations
15.
Zhou, Qiaoling, Hua Liang, Yi Liu, et al.. (2012). Effect of propofol on proliferation of human liver cancer cell line HepG2. Zhonghua mazuixue zazhi. 32(10). 1182–1185. 2 indexed citations
16.
Morlin, Luca, Maria Paola Albergoni, Stefano Masiero, et al.. (2010). AIRE gene mutations and autoantibodies to interferon omega in patients with chronic hypoparathyroidism without APECED. Clinical Endocrinology. 73(5). 630–636. 35 indexed citations
17.
Fresno, Carlos del, Francisco García‐Río, Vanesa Goméz-Piña, et al.. (2009). Potent Phagocytic Activity with Impaired Antigen Presentation Identifying Lipopolysaccharide-Tolerant Human Monocytes: Demonstration in Isolated Monocytes from Cystic Fibrosis Patients. The Journal of Immunology. 182(10). 6494–6507. 171 indexed citations
18.
Cali, Anna M. G., Hyeon-Jin Kim, Shu Chen, et al.. (2009). Glucose dysregulation and hepatic steatosis in obese adolescents. Hepatology. 49(6). 1896–1903. 131 indexed citations
19.
Chen, Shu, Tony K.T. Lam, Edward Park, et al.. (2006). Oleate-induced decrease in hepatocyte insulin binding is mediated by PKC-δ. Biochemical and Biophysical Research Communications. 346(3). 931–937. 9 indexed citations
20.
Chen, Shu. (2001). The Effect of Histamine Challenge on Nasal Mucosal Microvessel in Patients with Allergic Rhinitis. 1 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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