Wei-Sheng Wu

10.4k total citations
108 papers, 2.6k citations indexed

About

Wei-Sheng Wu is a scholar working on Molecular Biology, Epidemiology and Cancer Research. According to data from OpenAlex, Wei-Sheng Wu has authored 108 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 10 papers in Epidemiology and 10 papers in Cancer Research. Recurrent topics in Wei-Sheng Wu's work include Bioinformatics and Genomic Networks (33 papers), Genomics and Chromatin Dynamics (24 papers) and Gene expression and cancer classification (16 papers). Wei-Sheng Wu is often cited by papers focused on Bioinformatics and Genomic Networks (33 papers), Genomics and Chromatin Dynamics (24 papers) and Gene expression and cancer classification (16 papers). Wei-Sheng Wu collaborates with scholars based in Taiwan, United States and China. Wei-Sheng Wu's co-authors include Lili Zhao, Michael A. Bachman, Wen‐Hsiung Li, Bor‐Sen Chen, Harry L. T. Mobley, Ross C. Hardison, Mitchell J. Weiss, Heng-Chi Lee, Shikui Tu and James D. Cavalcoli and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Wei-Sheng Wu

105 papers receiving 2.6k citations

Peers

Countries citing papers authored by Wei-Sheng Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Sheng Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei-Sheng Wu. 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 Wei-Sheng Wu. The network helps show where Wei-Sheng Wu may publish in the future.

Co-authorship network of co-authors of Wei-Sheng Wu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Identifying the risk of Kawasaki disease based solely on routine blood test features through novel construction of machine learning models 2025 ·Computational and Structural Biotechnology Journal ·Tzu-Hsien Yang, Ying‐Hsien Huang, (unknown), (unknown), Kuang‐Den Chen, Mindy Ming‐Huey Guo, Yan Pan, Chun‐Yu Chen, Wei-Sheng Wu, Ho‐Chang Kuo	0
2	mirTarCLASH: a comprehensive miRNA target database based on chimeric read-based experiments 2025 ·Database ·Tzu-Hsien Yang, Xiangwei Li, (unknown), (unknown), Wei-Sheng Wu, Heng-Chi Lee	0
3	Oropharyngeal swab sampling for PRRSV detection in large-scale pig farms: a convenient and reliable method for mass sampling 2024 ·Porcine Health Management ·Mingyu Fan, Yang Li, Zhiqiang Hu, (unknown), Wei-Sheng Wu, Wei Liu, (unknown), Xinglong Wang, Jing Ren, (unknown), Xiaowen Li	1
4	Transcriptome-wide analyses of piRNA binding sites suggest distinct mechanisms regulate piRNA binding and silencing inC. elegans 2023 ·RNA ·Wei-Sheng Wu, Jordan Brown, (unknown), Chi‐Jung Chung, (unknown), Donglei Zhang, Heng-Chi Lee	4
5	Identifying Human miRNA Target Sites via Learning the Interaction Patterns between miRNA and mRNA Segments 2023 ·Journal of Chemical Information and Modeling ·Tzu-Hsien Yang, (unknown), (unknown), (unknown), (unknown), Fangyuan Chang, (unknown), Mei‐Hsien Lee, Yan Yuan Tseng, Wei-Sheng Wu	4
6	Condensate cooperativity underlies transgenerational gene silencing 2023 ·Cell Reports ·(unknown), (unknown), Jordan Brown, Tao He, Wei-Sheng Wu, Ying Zhang, Heng-Chi Lee, Donglei Zhang	20
7	FL-circAS: an integrative resource and analysis for full-length sequences and alternative splicing of circular RNAs with nanopore sequencing 2023 ·Nucleic Acids Research ·Tai-Wei Chiang, (unknown), Yu‐Chen Chen, Chia-Ying Chen, Wei-Sheng Wu, Trees‐Juen Chuang	14
8	Spatial and Transcriptomic Analysis of Perineural Invasion in Oral Cancer 2022 ·Clinical Cancer Research ·Ligia B. Schmitd, (unknown), Emily L. Bellile, Wei-Sheng Wu, Keith Casper, Michelle Mierzwa, Laura S. Rozek, Gregory T. Wolf, Jeremy M. G. Taylor, Nisha J. D’Silva	52
9	The histone methyltransferase MLL1/KMT2A in monocytes drives coronavirus-associated coagulopathy and inflammation 2022 ·Blood ·(unknown), William J. Melvin, Christopher O. Audu, (unknown), (unknown), Wei-Sheng Wu, Yogendra Kanthi, Jason S. Knight, Reheman Adili, Michael Holinstat, Thomas W. Wakefield, Peter K. Henke, Bethany B. Moore, Katherine Gallagher, T. Andrea	10
10	GLH/VASA helicases promote germ granule formation to ensure the fidelity of piRNA-mediated transcriptome surveillance 2022 ·Nature Communications ·Wenjun Chen, Jordan Brown, Tao He, Wei-Sheng Wu, Shikui Tu, Zhiping Weng, Donglei Zhang, Heng-Chi Lee	15
11	YMLA: A comparative platform to carry out functional enrichment analysis for multiple gene lists in yeast 2022 ·Computers in Biology and Medicine ·Tzu-Hsien Yang, Chia‐Wei Hsu, Yanxiang Wang, Chien‐Hung Yu, Jagat Rathod, Yan Yuan Tseng, Wei-Sheng Wu	0
12	Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas 2021 ·G3 Genes Genomes Genetics ·Wei-Sheng Wu, Jennie L. Lovett, Kerby Shedden, Beverly I. Strassmann, (unknown)	4
13	Systematic Analysis of Phosphatidylinositol-5-phosphate-Interacting Proteins Using Yeast Proteome Microarrays 2020 ·Analytical Chemistry ·Samuel Herianto, Jagat Rathod, P. M. Shah, (unknown), Wei-Sheng Wu, Biqing Liang, Chien‐Sheng Chen	12
14	The piRNA targeting rules and the resistance to piRNA silencing in endogenous genes 2018 ·Science ·Donglei Zhang, Shikui Tu, (unknown), Wei-Sheng Wu, (unknown), Zhiping Weng, Heng-Chi Lee	172
15	piRTarBase: a database of piRNA targeting sites and their roles in gene regulation 2018 ·Nucleic Acids Research ·Wei-Sheng Wu, Jordan Brown, (unknown), (unknown), (unknown), Shikui Tu, Heng-Chi Lee	48
16	pirScan: a webserver to predict piRNA targeting sites and to avoid transgene silencing in C. elegans 2018 ·Nucleic Acids Research ·Wei-Sheng Wu, (unknown), Jordan Brown, Donglei Zhang, Xiao‐Yan Song, Hao Chen, Shikui Tu, Zhiping Weng, Heng-Chi Lee	36
17	Chronic treatment with cisplatin induces chemoresistance through the TIP60-mediated Fanconi anemia and homologous recombination repair pathways 2017 ·Scientific Reports ·Wen‐Pin Su, (unknown), (unknown), (unknown), (unknown), (unknown), Song‐Bin Chang, Wen‐Tai Chiu, Jan‐Jong Hung, (unknown), Wei-Sheng Wu, Peï-Yu Wu, Wu‐Chou Su, Jang‐Yang Chang, Hungjiun Liaw	13
18	Molecular Epidemiology of Colonizing and Infecting Isolates of Klebsiella pneumoniae 2016 ·mSphere ·Rebekah M. Martin, Jie Cao, Sylvain Brisse, Virginie Passet, Wei-Sheng Wu, Lili Zhao, Preeti Malani, Krishna Rao, Michael A. Bachman	197
19	[Prevalence of hepatitis C in Tianjin, China and related risk factors]. 2016 ·PubMed ·Hongyong He, Yangyang Zhao, (unknown), (unknown), Wei-Sheng Wu, (unknown)	1
20	Scaled UKF with reduced sigma points for initial alignment of SINS 2011 ·Chinese Control Conference ·(unknown), Jiabin Chen, (unknown), Wei-Sheng Wu	2

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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