Yuan‐Shou Chen

873 total citations
19 papers, 550 citations indexed

About

Yuan‐Shou Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Yuan‐Shou Chen has authored 19 papers receiving a total of 550 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Cancer Research. Recurrent topics in Yuan‐Shou Chen's work include Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (6 papers) and Protease and Inhibitor Mechanisms (4 papers). Yuan‐Shou Chen is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (6 papers) and Protease and Inhibitor Mechanisms (4 papers). Yuan‐Shou Chen collaborates with scholars based in Taiwan, China and Australia. Yuan‐Shou Chen's co-authors include Chia‐Hui Chien, Xin Chen, Gu‐Gang Chang, Chi‐Yuan Chou, Po‐Huang Liang, Shiow‐Ju Lee, Weir‐Torn Jiaang, Suresh Mathivanan, Tsu Hsu and Richard J. Simpson and has published in prestigious journals such as Journal of Biological Chemistry, Brain Research and Journal of Bacteriology.

In The Last Decade

Yuan‐Shou Chen

18 papers receiving 544 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuan‐Shou Chen Taiwan 12 244 238 162 107 90 19 550
Byung Jo Moon South Korea 11 280 1.1× 122 0.5× 89 0.5× 31 0.3× 31 0.3× 19 481
Jean-Marc Soleilhac France 15 341 1.4× 136 0.6× 212 1.3× 29 0.3× 49 0.5× 22 633
K. A. NEWLANDER United States 7 197 0.8× 122 0.5× 44 0.3× 226 2.1× 28 0.3× 9 543
Valentin Giroux France 9 417 1.7× 189 0.8× 76 0.5× 22 0.2× 85 0.9× 9 702
Doreen M. Ashworth United Kingdom 14 218 0.9× 198 0.8× 124 0.8× 177 1.7× 23 0.3× 23 535
Jack R. Koehl United States 11 258 1.1× 88 0.4× 115 0.7× 24 0.2× 43 0.5× 16 496
Joohong Park Australia 8 125 0.5× 250 1.1× 110 0.7× 58 0.5× 50 0.6× 11 489
John A. Mitchell United States 10 404 1.7× 74 0.3× 50 0.3× 141 1.3× 67 0.7× 18 777
J. Zimmer Germany 16 905 3.7× 188 0.8× 40 0.2× 85 0.8× 76 0.8× 28 1.1k
Stephanie Yung United States 8 298 1.2× 125 0.5× 163 1.0× 74 0.7× 16 0.2× 10 450

Countries citing papers authored by Yuan‐Shou Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Shou Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuan‐Shou Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Shou Chen. A scholar is included among the top collaborators of Yuan‐Shou 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 Yuan‐Shou Chen. Yuan‐Shou Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Geng, Fei, Gui-Feng Lu, Yujun Luo, et al.. (2020). The emerging role of the MiR-1272-ADAM9-CDCP1 signaling pathway in the progression of glioma. Aging. 13(1). 894–909. 8 indexed citations
2.
Li, He, Rui Xu, Yuan‐Shou Chen, et al.. (2019). Intra-CA1 Administration of Minocycline Alters the Expression of Inflammation-Related Genes in Hippocampus of CCI Rats. Frontiers in Molecular Neuroscience. 12. 248–248. 12 indexed citations
3.
Chen, Changmei, Xiang Gong, Xiaoxu Yang, et al.. (2019). The roles of estrogen and estrogen receptors in gastrointestinal disease (Review). Oncology Letters. 18(6). 5673–5680. 85 indexed citations
4.
Lu, Gui-Feng, Fei Geng, Zhi Xiao, et al.. (2018). MicroRNA-6807-3p promotes the tumorigenesis of glioma by targeting downstream DACH1. Brain Research. 1708. 47–57. 8 indexed citations
5.
Lu, Gui-Feng, Yuan‐Shou Chen, Hui Jiang, et al.. (2018). MicroRNA-671-3p promotes the proliferation and migration of glioma cells via targeting CKAP4. OncoTargets and Therapy. Volume 11. 6217–6226. 23 indexed citations
6.
Zeng, Junwei, Xiaohong Liu, Chunmei Wang, et al.. (2014). P2Y13 Receptor-Mediated Rapid Increase in Intracellular Calcium Induced by ADP in Cultured Dorsal Spinal Cord Microglia. Neurochemical Research. 39(11). 2240–2250. 21 indexed citations
7.
Zeng, Junwei, Min Li, Zhi Xiao, et al.. (2012). Rapid Elevation of Calcium Concentration in Cultured Dorsal Spinal Cord Astrocytes by Corticosterone. Neurochemical Research. 38(2). 382–388. 9 indexed citations
8.
Mathivanan, Suresh, Hong Ji, Bow J. Tauro, Yuan‐Shou Chen, & Richard J. Simpson. (2012). Identifying mutated proteins secreted by colon cancer cell lines using mass spectrometry. Journal of Proteomics. 76. 141–149. 43 indexed citations
9.
Mathias, Rommel A., Yuan‐Shou Chen, Robert J. A. Goode, et al.. (2011). Tandem application of cationic colloidal silica and Triton X‐114 for plasma membrane protein isolation and purification: Towards developing an MDCK protein database. PROTEOMICS. 11(7). 1238–1253. 11 indexed citations
10.
Chen, Yuan‐Shou. (2009). Effects of exogenous hydrogen sulfide on learning and memory of heroin-addictive rats. 2 indexed citations
11.
Veken, Pieter Van der, Inger Brandt, Yuan‐Shou Chen, et al.. (2007). Irreversible Inhibition of Dipeptidyl Peptidase 8 by Dipeptide-Derived Diaryl Phosphonates. Journal of Medicinal Chemistry. 50(23). 5568–5570. 44 indexed citations
12.
Chen, Yuan‐Shou, Chi‐Yuan Chou, Chia‐Hui Chien, et al.. (2006). Investigation of the Dimer Interface and Substrate Specificity of Prolyl Dipeptidase DPP8. Journal of Biological Chemistry. 281(50). 38653–38662. 34 indexed citations
13.
Lu, I-Lin, Shiow‐Ju Lee, Su‐Ying Wu, et al.. (2005). Glutamic acid analogues as potent dipeptidyl peptidase IV and 8 inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(13). 3271–3275. 30 indexed citations
14.
15.
Chen, Yuan‐Shou, Chia‐Hui Chien, Chandra Goparaju, et al.. (2004). Purification and characterization of human prolyl dipeptidase DPP8 in Sf9 insect cells. Protein Expression and Purification. 35(1). 142–146. 27 indexed citations
16.
Jiaang, Weir‐Torn, Yuan‐Shou Chen, Tsu Hsu, et al.. (2004). Novel isoindoline compounds for potent and selective inhibition of prolyl dipeptidase DPP8. Bioorganic & Medicinal Chemistry Letters. 15(3). 687–691. 87 indexed citations
17.
Chien, Chia‐Hui, Li‐Hao Huang, Chi‐Yuan Chou, et al.. (2004). One Site Mutation Disrupts Dimer Formation in Human DPP-IV Proteins. Journal of Biological Chemistry. 279(50). 52338–52345. 71 indexed citations
18.
Shaw, Gwo‐Chyuan, et al.. (2000). Negative Regulation of Expression of the Bacillus megaterium bmlP1 Gene by the bmlP1 3′ Flanking Region. Journal of Bacteriology. 182(9). 2654–2659. 3 indexed citations
19.
Shih, Shin‐Ru, et al.. (1998). A Novel Spliced Transcript of Influenza A/WSN/33 Virus. Virus Genes. 17(2). 179–183. 32 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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