Sheng‐Yu Huang

2.4k total citations · 1 hit paper
56 papers, 1.8k citations indexed

About

Sheng‐Yu Huang is a scholar working on Molecular Biology, Spectroscopy and Epidemiology. According to data from OpenAlex, Sheng‐Yu Huang has authored 56 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Spectroscopy and 9 papers in Epidemiology. Recurrent topics in Sheng‐Yu Huang's work include Mass Spectrometry Techniques and Applications (15 papers), Advanced Proteomics Techniques and Applications (13 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Sheng‐Yu Huang is often cited by papers focused on Mass Spectrometry Techniques and Applications (15 papers), Advanced Proteomics Techniques and Applications (13 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Sheng‐Yu Huang collaborates with scholars based in Taiwan, China and United States. Sheng‐Yu Huang's co-authors include Shu‐Hui Chen, Jue‐Liang Hsu, Nan-Haw Chow, Wang‐Chou Sung, Sung‐Fang Chen, Jianhua Wang, Shu-Ming Kuo, Mei‐Ling Tsai, Wen-Ying Huang and Yi‐Hsiang Chen and has published in prestigious journals such as Analytical Chemistry, Scientific Reports and Journal of Colloid and Interface Science.

In The Last Decade

Sheng‐Yu Huang

54 papers receiving 1.7k citations

Hit Papers

Stable-Isotope Dimethyl L... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sheng‐Yu Huang Taiwan 20 967 672 231 150 115 56 1.8k
Virginie Brun France 21 1.0k 1.0× 745 1.1× 186 0.8× 83 0.6× 115 1.0× 52 1.7k
Bjoern Meyer Germany 22 1.0k 1.1× 403 0.6× 308 1.3× 63 0.4× 84 0.7× 41 1.6k
Xumin Zhang China 25 1.3k 1.3× 389 0.6× 124 0.5× 158 1.1× 83 0.7× 88 2.1k
Herbert Lindner Austria 31 1.7k 1.7× 567 0.8× 135 0.6× 124 0.8× 293 2.5× 72 2.6k
Cees Versluis Netherlands 28 1.4k 1.4× 783 1.2× 332 1.4× 128 0.9× 210 1.8× 60 2.7k
Joshua S. Sharp United States 27 1.3k 1.3× 891 1.3× 147 0.6× 51 0.3× 99 0.9× 84 2.2k
Ulrike Kusebauch United States 27 1.6k 1.7× 795 1.2× 85 0.4× 170 1.1× 79 0.7× 45 2.3k
Wilfred H. Tang United States 12 1.5k 1.5× 780 1.2× 56 0.2× 110 0.7× 97 0.8× 16 2.3k
Christina Ludwig Germany 27 2.4k 2.4× 953 1.4× 331 1.4× 299 2.0× 212 1.8× 94 3.4k
Heather M. Mottaz United States 20 1.2k 1.2× 924 1.4× 62 0.3× 152 1.0× 246 2.1× 26 2.2k

Countries citing papers authored by Sheng‐Yu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐Yu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐Yu Huang. 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 Sheng‐Yu Huang. The network helps show where Sheng‐Yu Huang may publish in the future.

Co-authorship network of co-authors of Sheng‐Yu Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng‐Yu Huang. A scholar is included among the top collaborators of Sheng‐Yu Huang 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 Sheng‐Yu Huang. Sheng‐Yu Huang 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.
Huang, Sheng‐Yu, Etsuro Ito, Ing‐Kit Lee, et al.. (2025). COVID-19 vaccination induces cross-reactive dengue virus antibodies with altered isotype profiles and in vitro antibody-dependent enhancement. Frontiers in Immunology. 16. 1683070–1683070.
2.
Liu, Chun‐Ting, Sheng‐Yu Huang, Chi Kong Li, et al.. (2024). Developing the Keep-Important-Samples Scheme for Training the Advanced CNN-Based Automatic Virtual Metrology Models. IEEE Robotics and Automation Letters. 9(9). 7931–7938. 3 indexed citations
3.
Luo, Lan, et al.. (2024). Sensitive, precise fingerprint profiling for monosaccharide analysis of Bacillus Calmette-Guérin polysaccharide and nucleic acid isolates. Carbohydrate Research. 540. 109124–109124. 2 indexed citations
5.
Kung, Yu-An, et al.. (2022). Molecular Virology of SARS-CoV-2 and Related Coronaviruses. Microbiology and Molecular Biology Reviews. 86(2). e0002621–e0002621. 25 indexed citations
6.
Huang, Sheng‐Yu, Yu-An Kung, Peng-Nien Huang, et al.. (2021). Stability of SARS-CoV-2 Spike G614 Variant Surpasses That of the D614 Variant after Cold Storage. mSphere. 6(2). 18 indexed citations
7.
Hung, Hui-Chen, Yi-Yu Ke, Sheng‐Yu Huang, et al.. (2020). Discovery of M Protease Inhibitors Encoded by SARS-CoV-2. Antimicrobial Agents and Chemotherapy. 64(9). 76 indexed citations
8.
Gong, Yu‐Nong, Kuo‐Chien Tsao, Chung‐Guei Huang, et al.. (2020). SARS-CoV-2 genomic surveillance in Taiwan revealed novel ORF8-deletion mutant and clade possibly associated with infections in Middle East. Emerging Microbes & Infections. 9(1). 1457–1466. 83 indexed citations
10.
Huang, Sheng‐Yu, Chi-Jene Chen, Ting-Wen Chen, et al.. (2019). Novel Role for miR-1290 in Host Species Specificity of Influenza A Virus. Molecular Therapy — Nucleic Acids. 17. 10–23. 22 indexed citations
11.
Huang, Sheng‐Yu, et al.. (2018). Application of stable isotope dimethyl labeling for MRM based absolute antigen quantification of influenza vaccine. Journal of Chromatography B. 1104. 40–48. 4 indexed citations
12.
Huang, Sheng‐Yu, et al.. (2016). De novo protein sequencing, humanization and in vitro effects of an antihuman CD34 mouse monoclonal antibody. Biochemistry and Biophysics Reports. 9. 51–60. 2 indexed citations
13.
Chen, Pisin, et al.. (2016). A longitudinal study of the association between the GNB3 C825T polymorphism and metabolic disturbance in bipolar II patients treated with valproate. The Pharmacogenomics Journal. 17(2). 155–161. 7 indexed citations
14.
Chen, Weilin, et al.. (2016). Landing strategies focusing on the control of tibial rotation in the initial contact period of one‐leg forward hops. Scandinavian Journal of Medicine and Science in Sports. 27(8). 832–841. 3 indexed citations
15.
Sung, Wang‐Chou, et al.. (2016). Evaluation of disulfide scrambling during the enzymatic digestion of bevacizumab at various pH values using mass spectrometry. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1864(9). 1188–1194. 24 indexed citations
17.
Chen, Yi‐Hsiang, Shu-Ming Kuo, Sheng‐Yu Huang, et al.. (2016). Well-tolerated Spirulina extract inhibits influenza virus replication and reduces virus-induced mortality. Scientific Reports. 6(1). 24253–24253. 78 indexed citations
18.
Chen, Sung‐Fang, et al.. (2013). Mass spectrometry-based strategies for protein disulfide bond identification. Reviews in Analytical Chemistry. 32(4). 257–268. 37 indexed citations
19.
Huang, Sheng‐Yu, Mei‐Ling Tsai, Chin‐Jen Wu, et al.. (2006). Quantitation of protein phosphorylation in pregnant rat uteri using stable isotope dimethyl labeling coupled with IMAC. PROTEOMICS. 6(6). 1722–1734. 43 indexed citations
20.
Hsu, Jue‐Liang, et al.. (2004). Beyond Quantitative Proteomics:  Signal Enhancement of the a1 Ion as a Mass Tag for Peptide Sequencing Using Dimethyl Labeling. Journal of Proteome Research. 4(1). 101–108. 93 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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