Sung‐Huan Yu

1.4k total citations
19 papers, 1.0k citations indexed

About

Sung‐Huan Yu is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Sung‐Huan Yu has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Spectroscopy. Recurrent topics in Sung‐Huan Yu's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Sung‐Huan Yu is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (5 papers) and Protein Structure and Dynamics (4 papers). Sung‐Huan Yu collaborates with scholars based in Taiwan, Germany and United States. Sung‐Huan Yu's co-authors include P.M. Kris-Etherton, Janice Derr, Jürgen Cox, Konrad U. Förstner, Jenn‐Kang Hwang, Pelagia Kyriakidou, Julián Echave, Jörg Vogel, S.C. Yen and Yuen‐Liang Lai and has published in prestigious journals such as Nucleic Acids Research, American Journal of Clinical Nutrition and Journal of Bacteriology.

In The Last Decade

Sung‐Huan Yu

17 papers receiving 957 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sung‐Huan Yu Taiwan	13	396	358	192	161	158	19	1.0k
Jennifer Causey United States	4	485 1.2×	200 0.6×	58 0.3×	68 0.4×	121 0.8×	5	736
Elizabeth Magee United Kingdom	10	171 0.4×	372 1.0×	125 0.7×	105 0.7×	193 1.2×	12	939
Jacques van Rooyen South Africa	21	186 0.5×	201 0.6×	92 0.5×	90 0.6×	69 0.4×	46	1.1k
María Leonor Fernández-Murga Spain	19	195 0.5×	605 1.7×	71 0.4×	75 0.5×	65 0.4×	53	1.1k
Otto Savolainen Sweden	19	148 0.4×	621 1.7×	117 0.6×	60 0.4×	182 1.2×	52	1.2k
Nurit Argov-Argaman Israel	18	505 1.3×	155 0.4×	85 0.4×	42 0.3×	61 0.4×	51	957
P. W. Parodi Australia	11	616 1.6×	176 0.5×	73 0.4×	96 0.6×	58 0.4×	21	908
J. Kumi‐Diaka United States	22	321 0.8×	337 0.9×	170 0.9×	42 0.3×	28 0.2×	75	1.4k
R. Corinne Sprong Netherlands	14	232 0.6×	268 0.7×	45 0.2×	34 0.2×	75 0.5×	25	931
Ann Webb Canada	16	432 1.1×	744 2.1×	24 0.1×	74 0.5×	127 0.8×	26	1.6k

Countries citing papers authored by Sung‐Huan Yu

Since Specialization

Citations

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

Fields of papers citing papers by Sung‐Huan Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sung‐Huan Yu

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

All Works

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19 of 19 papers shown

Wu, Ping‐Hsun, Hsiang‐Ying Lee, Yi‐Ting Lin, et al.. (2025). Epigenetic signatures of phthalate exposure and potential risks: a DNA methylation analysis using Infinium MethylationEPIC BeadChip. Current Zoology. 11(1). dvaf020–dvaf020.

Yang, Yi‐Fang, Sung‐Huan Yu, Jung‐Chi Liao, & Yu-Hsuan Lin. (2024). Identification and validation of Novel Estrogen Biosynthesis Biomarkers in Sinonasal Inverted Papilloma. International Journal of Medical Sciences. 22(1). 158–169.

Yu, Sung‐Huan, et al.. (2024). Quantification Quality Control Emerges as a Crucial Factor to Enhance Single-Cell Proteomics Data Analysis. Molecular & Cellular Proteomics. 23(5). 100768–100768. 2 indexed citations

Lee, Hyun-Sook, Sung‐Huan Yu, Jung Eun Shim, & Dongeun Yong. (2024). Use of a combined antibacterial synergy approach and the ANNOgesic tool to identify novel targets within the gene networks of multidrug-resistant Klebsiella pneumoniae. mSystems. 9(3). e0087723–e0087723. 1 indexed citations

Lin, Miao‐Hsia, et al.. (2022). Benchmarking differential expression, imputation and quantification methods for proteomics data. Briefings in Bioinformatics. 23(3). 20 indexed citations

Moon, Kyung Ho, Chin‐Hsien Tai, Sung‐Huan Yu, et al.. (2021). Identification of BvgA-Dependent and BvgA-Independent Small RNAs (sRNAs) in Bordetella pertussis Using the Prokaryotic sRNA Prediction Toolkit ANNOgesic. Microbiology Spectrum. 9(2). e0004421–e0004421. 6 indexed citations

Yu, Sung‐Huan, Pelagia Kyriakidou, & Jürgen Cox. (2020). Isobaric Matching between Runs and Novel PSM-Level Normalization in MaxQuant Strongly Improve Reporter Ion-Based Quantification. Journal of Proteome Research. 19(10). 3945–3954. 55 indexed citations

Yu, Sung‐Huan, et al.. (2020). Expanding the Perseus Software for Omics Data Analysis With Custom Plugins. Current Protocols in Bioinformatics. 71(1). e105–e105. 25 indexed citations

Yu, Sung‐Huan. (2019). Development and application of computational tools for RNA-Seq based transcriptome annotations. Online Publication Service of Würzburg University (Würzburg University). 1 indexed citations

10.

Yu, Sung‐Huan, Jörg Vogel, & Konrad U. Förstner. (2018). ANNOgesic: a Swiss army knife for the RNA-seq based annotation of bacterial/archaeal genomes. GigaScience. 7(9). 40 indexed citations

11.

Förstner, Konrad U., et al.. (2017). An RpoHI-Dependent Response Promotes Outgrowth after Extended Stationary Phase in the Alphaproteobacterium Rhodobacter sphaeroides. Journal of Bacteriology. 199(14). 21 indexed citations

12.

Dingemans, Jozef, Pieter Monsieurs, Sung‐Huan Yu, et al.. (2016). Effect of Shear Stress on Pseudomonas aeruginosa Isolated from the Cystic Fibrosis Lung. mBio. 7(4). 28 indexed citations

13.

Yu, Sung‐Huan, et al.. (2014). Local Packing Density Is the Main Structural Determinant of the Rate of Protein Sequence Evolution at Site Level. BioMed Research International. 2014. 1–10. 31 indexed citations

14.

Yu, Sung‐Huan, et al.. (2013). Site-Specific Structural Constraints on Protein Sequence Evolutionary Divergence: Local Packing Density versus Solvent Exposure. Molecular Biology and Evolution. 31(1). 135–139. 57 indexed citations

15.

Huang, Shao‐Wei, et al.. (2011). On the Relationship Between Catalytic Residues and their Protein Contact Number. Current Protein and Peptide Science. 12(6). 574–579. 13 indexed citations

16.

Huang, Shao‐Wei, et al.. (2007). A simple way to compute protein dynamics without a mechanical model. Proteins Structure Function and Bioinformatics. 68(1). 34–38. 13 indexed citations

17.

Lai, Yuen‐Liang, S.C. Yen, Sung‐Huan Yu, & J.-K. Hwang. (2007). pKNOT: the protein KNOT web server. Nucleic Acids Research. 35(Web Server). W420–W424. 32 indexed citations

18.

Yu, Sung‐Huan, et al.. (1997). Individual fatty acid effects on plasma lipids and lipoproteins: human studies. American Journal of Clinical Nutrition. 65(5). 1628S–1644S. 422 indexed citations

19.

Yu, Sung‐Huan, et al.. (1995). Plasma cholesterol-predictive equations demonstrate that stearic acid is neutral and monounsaturated fatty acids are hypocholesterolemic. American Journal of Clinical Nutrition. 61(5). 1129–1139. 241 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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