Chan-Shuo Wu

600 total citations
12 papers, 299 citations indexed

About

Chan-Shuo Wu is a scholar working on Molecular Biology, Cancer Research and Signal Processing. According to data from OpenAlex, Chan-Shuo Wu has authored 12 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Cancer Research and 1 paper in Signal Processing. Recurrent topics in Chan-Shuo Wu's work include RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). Chan-Shuo Wu is often cited by papers focused on RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). Chan-Shuo Wu collaborates with scholars based in Singapore, United States and Taiwan. Chan-Shuo Wu's co-authors include Trees‐Juen Chuang, Chia-Ying Chen, Li-Yuan Hung, Tai-Wei Chiang, Chunying Yu, Ching-Yu Chuang, Michael Hsiao, Cheng-Fu Kao, Hung‐Chih Kuo and Daniel G. Tenen and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Chan-Shuo Wu

12 papers receiving 295 citations

Peers

Chan-Shuo Wu

PRM

ONCOL

GENET

Satyanarayana M.R. Rao India

Danna Sheinboim Israel

Yansu Song United States

Annita Louloupi Denmark

Samuel S. Truesdell United States

Eric James de Bony Belgium

Maggie M. Balas United States

Julian A. Zagalak United Kingdom

Tsung-Cheng Chang United States

Satyanarayana M.R. Rao India

Chan-Shuo Wu

274 ×1.0

257 ×1.6

13 ×0.8

PRM

15 ×1.1

ONCOL

18 ×1.4

GENET

Citations per year, relative to Chan-Shuo Wu Chan-Shuo Wu (= 1×) peers Satyanarayana M.R. Rao

Countries citing papers authored by Chan-Shuo Wu

Since Specialization

Citations

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

Fields of papers citing papers by Chan-Shuo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chan-Shuo Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Chan-Shuo Wu. A scholar is included among the top collaborators of Chan-Shuo 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 Chan-Shuo Wu. Chan-Shuo 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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12 of 12 papers shown

Teo, Wei Wen, Chan-Shuo Wu, Hong Kee Tan, et al.. (2022). Non-coding RNA LEVER sequestration of PRC2 can mediate long range gene regulation. Communications Biology. 5(1). 343–343. 8 indexed citations

Kong, Nikki R., Mahmoud A. Bassal, Hong Kee Tan, et al.. (2021). Zinc Finger Protein SALL4 Functions through an AT-Rich Motif to Regulate Gene Expression. Cell Reports. 34(1). 108574–108574. 33 indexed citations

Ding, Ling‐Wen, et al.. (2021). Repurposing RNA sequencing for discovery of RNA modifications in clinical cohorts. Science Advances. 7(32). 13 indexed citations

Kong, Nikki R., Mahmoud A. Bassal, Hong Kee Tan, et al.. (2020). Zinc Finger Protein SALL4 Functions Through an AT-Rich Motif to Regulate Gene Expression. SSRN Electronic Journal. 1 indexed citations

An, Ömer, Ying Li, Jia Li, et al.. (2020). CSI NGS Portal: An Online Platform for Automated NGS Data Analysis and Sharing. International Journal of Molecular Sciences. 21(11). 3828–3828. 19 indexed citations

Ali, Azhar, Elena Levantini, Chee Wai Fhu, et al.. (2019). CAV1 - GLUT3 signaling is important for cellular energy and can be targeted by Atorvastatin in Non-Small Cell Lung Cancer. Theranostics. 9(21). 6157–6174. 34 indexed citations

Tan, Hong Kee, Chan-Shuo Wu, Jia Li, et al.. (2019). DNMT3B shapes the mCA landscape and regulates mCG for promoter bivalency in human embryonic stem cells. Nucleic Acids Research. 47(14). 7460–7475. 12 indexed citations

Chen, Chia-Ying, Li-Yuan Hung, Chan-Shuo Wu, & Trees‐Juen Chuang. (2016). Purifying selection shapes the coincident SNP distribution of primate coding sequences. Scientific Reports. 6(1). 27272–27272. 4 indexed citations

Chuang, Trees‐Juen, et al.. (2015). NCLscan: accurate identification of non-co-linear transcripts (fusion,trans-splicing and circular RNA) with a good balance between sensitivity and precision. Nucleic Acids Research. 44(3). e29–e29. 96 indexed citations

10.

Wu, Chan-Shuo, Chunying Yu, Ching-Yu Chuang, et al.. (2013). Integrative transcriptome sequencing identifies trans-splicing events with important roles in human embryonic stem cell pluripotency. Genome Research. 24(1). 25–36. 76 indexed citations

11.

Wu, Chan-Shuo, et al.. (2010). A metric for rooted trees with unlabeled vertices based on nested parentheses. Theoretical Computer Science. 411(44-46). 3923–3931. 2 indexed citations

12.

Wu, Chan-Shuo, et al.. (2009). A Practical Edit-Distance Model for RNA Secondary-Structure Comparison. 1645. 176–183. 1 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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