Shao‐Yung Chen

434 total citations
15 papers, 298 citations indexed

About

Shao‐Yung Chen is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Shao‐Yung Chen has authored 15 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Shao‐Yung Chen's work include Advanced Proteomics Techniques and Applications (10 papers), Glycosylation and Glycoproteins Research (7 papers) and Genomics and Phylogenetic Studies (3 papers). Shao‐Yung Chen is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Glycosylation and Glycoproteins Research (7 papers) and Genomics and Phylogenetic Studies (3 papers). Shao‐Yung Chen collaborates with scholars based in United States, Taiwan and Denmark. Shao‐Yung Chen's co-authors include Hui Zhang, T. Mamie Lih, Yangying Zhou, Mingming Dong, David Clark, Jiashing Yu, Yingwei Hu, Rodrigo Vargas Eguez, Naseruddin Höti and Michael Schnaubelt and has published in prestigious journals such as Nature Communications, Analytical Chemistry and The FASEB Journal.

In The Last Decade

Shao‐Yung Chen

15 papers receiving 297 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shao‐Yung Chen United States 11 200 118 36 35 32 15 298
Ganesh N. Nawale Sweden 12 187 0.9× 29 0.2× 60 1.7× 56 1.6× 21 0.7× 15 335
Mariarosaria De Simone Italy 11 189 0.9× 13 0.1× 30 0.8× 29 0.8× 31 1.0× 27 363
Stijn M. Agten Netherlands 11 172 0.9× 35 0.3× 27 0.8× 93 2.7× 29 0.9× 18 281
M.W. Hayman United Kingdom 9 169 0.8× 17 0.1× 35 1.0× 68 1.9× 24 0.8× 15 441
Sebastian Köhling Germany 12 226 1.1× 17 0.1× 40 1.1× 91 2.6× 23 0.7× 16 396
Shibo Fu China 10 130 0.7× 72 0.6× 30 0.8× 12 0.3× 22 0.7× 17 325
Cindy J. Choy United States 10 142 0.7× 33 0.3× 37 1.0× 89 2.5× 77 2.4× 16 376
Yuyin Du China 8 88 0.4× 25 0.2× 63 1.8× 23 0.7× 9 0.3× 10 258
So Jung Choi South Korea 9 311 1.6× 62 0.5× 7 0.2× 53 1.5× 60 1.9× 11 414
Jia‐Mi Li China 11 91 0.5× 24 0.2× 71 2.0× 14 0.4× 19 0.6× 19 307

Countries citing papers authored by Shao‐Yung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shao‐Yung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shao‐Yung Chen

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

All Works

15 of 15 papers shown
1.
Roberts, Michael D., Bradley A. Ruple, Joshua S. Godwin, et al.. (2024). A novel deep proteomic approach in human skeletal muscle unveils distinct molecular signatures affected by aging and resistance training. Aging. 16(8). 6631–6651. 9 indexed citations
2.
Ruple, Bradley A., Joshua S. Godwin, Nicholas Kontos, et al.. (2024). The effects of resistance training on denervated myofibers, senescent cells, and associated protein markers in middle‐aged adults. The FASEB Journal. 38(8). e23621–e23621. 2 indexed citations
3.
Chen, Shao‐Yung, T. Mamie Lih, Qing Kay Li, & Hui Zhang. (2022). Comparing Urinary Glycoproteins among Three Urogenital Cancers and Identifying Prostate Cancer-Specific Glycoproteins. ACS Omega. 7(11). 9172–9180. 3 indexed citations
4.
Cao, Liwei, T. Mamie Lih, Yingwei Hu, et al.. (2022). Characterization of core fucosylation via sequential enzymatic treatments of intact glycopeptides and mass spectrometry analysis. Nature Communications. 13(1). 3910–3910. 28 indexed citations
5.
Dong, Mingming, T. Mamie Lih, Naseruddin Höti, et al.. (2021). Development of Parallel Reaction Monitoring Assays for the Detection of Aggressive Prostate Cancer Using Urinary Glycoproteins. Journal of Proteome Research. 20(7). 3590–3599. 15 indexed citations
6.
Chen, Shao‐Yung, David Clark, & Hui Zhang. (2021). High‐Throughput Analyses of Glycans, Glycosites, and Intact Glycopeptides Using C4‐and C18/MAX‐Tips and Liquid Handling System. Current Protocols. 1(7). e186–e186. 9 indexed citations
7.
Xu, Yuanwei, Yuefan Wang, Naseruddin Höti, et al.. (2021). The next “sweet” spot for pancreatic ductal adenocarcinoma: Glycoprotein for early detection. Mass Spectrometry Reviews. 42(2). 822–843. 12 indexed citations
8.
Dong, Mingming, T. Mamie Lih, Minghui Ao, et al.. (2021). Data-Independent Acquisition-Based Mass Spectrometry (DIA-MS) for Quantitative Analysis of Intact N-Linked Glycopeptides. Analytical Chemistry. 93(41). 13774–13782. 21 indexed citations
9.
Zhou, Yangying, T. Mamie Lih, Jianbo Pan, et al.. (2020). Proteomic signatures of 16 major types of human cancer reveal universal and cancer-type-specific proteins for the identification of potential therapeutic targets. Journal of Hematology & Oncology. 13(1). 170–170. 37 indexed citations
10.
Dong, Mingming, T. Mamie Lih, Shao‐Yung Chen, et al.. (2020). Urinary glycoproteins associated with aggressive prostate cancer. Theranostics. 10(26). 11892–11907. 27 indexed citations
11.
Chen, Shao‐Yung, Mingming Dong, Ganglong Yang, et al.. (2019). Glycans, Glycosite, and Intact Glycopeptide Analysis of N-Linked Glycoproteins Using Liquid Handling Systems. Analytical Chemistry. 92(2). 1680–1686. 32 indexed citations
12.
Clark, David, Yingwei Hu, Michael Schnaubelt, et al.. (2019). Simple Tip-Based Sample Processing Method for Urinary Proteomic Analysis. Analytical Chemistry. 91(9). 5517–5522. 20 indexed citations
13.
Zhou, Yangying, T. Mamie Lih, Ganglong Yang, et al.. (2019). An Integrated Workflow for Global, Glyco-, and Phospho-proteomic Analysis of Tumor Tissues. Analytical Chemistry. 92(2). 1842–1849. 24 indexed citations
14.
Lin, Yung‐Hao, Kai‐Wen Huang, Shao‐Yung Chen, Nai‐Chen Cheng, & Jiashing Yu. (2017). Keratin/chitosan UV-crosslinked composites promote the osteogenic differentiation of human adipose derived stem cells. Journal of Materials Chemistry B. 5(24). 4614–4622. 32 indexed citations
15.
Chien, Hsiu‐Wen, et al.. (2017). Low-fouling and functional poly(carboxybetaine) coating via a photo-crosslinking process. Biomaterials Science. 5(3). 523–531. 27 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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