Trees‐Juen Chuang

1.8k total citations
45 papers, 1.2k citations indexed

About

Trees‐Juen Chuang is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Trees‐Juen Chuang has authored 45 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Trees‐Juen Chuang's work include RNA Research and Splicing (20 papers), Genomics and Phylogenetic Studies (12 papers) and RNA and protein synthesis mechanisms (12 papers). Trees‐Juen Chuang is often cited by papers focused on RNA Research and Splicing (20 papers), Genomics and Phylogenetic Studies (12 papers) and RNA and protein synthesis mechanisms (12 papers). Trees‐Juen Chuang collaborates with scholars based in Taiwan, United States and United Kingdom. Trees‐Juen Chuang's co-authors include Feng‐Chi Chen, Chia-Ying Chen, Tai-Wei Chiang, Li-Yuan Hung, Chan-Shuo Wu, Wen‐Hsiung Li, Chunying Yu, Te‐Lun Mai, Wen‐Hsiung Li and Hung‐Chih Kuo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Bioinformatics.

In The Last Decade

Trees‐Juen Chuang

45 papers receiving 1.1k citations

Peers

Trees‐Juen Chuang

GENET

CVPR

Byoung-Tak Zhang South Korea

Sarah Djebali France

Avazeh T. Ghanbarian United Kingdom

Shin-Yi Lin United States

Zakary S. Singer United States

Xiaoyi Cao United States

Anton J. M. Larsson Sweden

Zhana Duren United States

Alex Tuck United Kingdom

G. P. Barber United States

Byoung-Tak Zhang South Korea

Trees‐Juen Chuang

1.2k ×1.1

1.1k ×1.8

42 ×0.5

GENET

97 ×1.2

6 ×0.2

CVPR

Citations per year, relative to Trees‐Juen Chuang Trees‐Juen Chuang (= 1×) peers Byoung-Tak Zhang

Countries citing papers authored by Trees‐Juen Chuang

Since Specialization

Citations

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

Fields of papers citing papers by Trees‐Juen Chuang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trees‐Juen Chuang. 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 Trees‐Juen Chuang. The network helps show where Trees‐Juen Chuang may publish in the future.

Co-authorship network of co-authors of Trees‐Juen Chuang

This figure shows the co-authorship network connecting the top 25 collaborators of Trees‐Juen Chuang. A scholar is included among the top collaborators of Trees‐Juen Chuang 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 Trees‐Juen Chuang. Trees‐Juen Chuang 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

Wang, Jingping, Yae-Huei Liou, Tzu‐Chi Hsu, et al.. (2023). Long-term hematopoietic transfer of the anti-cancer and lifespan-extending capabilities of a genetically engineered blood system by transplantation of bone marrow mononuclear cells. eLife. 12. 1 indexed citations

Chuang, Trees‐Juen, Tai-Wei Chiang, & Chia-Ying Chen. (2023). Assessing the impacts of various factors on circular RNA reliability. Life Science Alliance. 6(5). e202201793–e202201793. 9 indexed citations

Chiang, Tai-Wei, et al.. (2023). FL-circAS: an integrative resource and analysis for full-length sequences and alternative splicing of circular RNAs with nanopore sequencing. Nucleic Acids Research. 52(D1). D115–D123. 14 indexed citations

Lin, Po‐Yu, Wei‐Ju Chen, Chia-Ying Chen, et al.. (2021). Comparative Analyses of Single-Cell Transcriptomic Profiles between In Vitro Totipotent Blastomere-like Cells and In Vivo Early Mouse Embryonic Cells. Cells. 10(11). 3111–3111. 6 indexed citations

Chen, Yen‐Ju, Chia-Ying Chen, Te‐Lun Mai, et al.. (2020). Genome-wide, integrative analysis of circular RNA dysregulation and the corresponding circular RNA-microRNA-mRNA regulatory axes in autism. Genome Research. 30(3). 375–391. 51 indexed citations

Mai, Te‐Lun & Trees‐Juen Chuang. (2019). A-to-I RNA editing contributes to the persistence of predicted damaging mutations in populations. Genome Research. 29(11). 1766–1776. 4 indexed citations

Chuang, Trees‐Juen, et al.. (2017). Assessment of imprinting- and genetic variation-dependent monoallelic expression using reciprocal allele descendants between human family trios. Scientific Reports. 7(1). 7038–7038. 5 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

Yu, Chunying, et al.. (2014). Is an observed non-co-linear RNA product spliced intrans, incisor justin vitro?. Nucleic Acids Research. 42(14). 9410–9423. 52 indexed citations

10.

Chuang, Trees‐Juen & Feng‐Chi Chen. (2013). DNA Methylation is Associated with an Increased Level of Conservation at Nondegenerate Nucleotides in Mammals. Molecular Biology and Evolution. 31(2). 387–396. 12 indexed citations

11.

Chen, Sean Chun-Chang, Trees‐Juen Chuang, & Wen‐Hsiung Li. (2011). The Relationships Among MicroRNA Regulation, Intrinsically Disordered Regions, and Other Indicators of Protein Evolutionary Rate. Molecular Biology and Evolution. 28(9). 2513–2520. 23 indexed citations

12.

Li, Wen‐Hsiung, et al.. (2010). Gene Family Size Conservation Is a Good Indicator of Evolutionary Rates. Molecular Biology and Evolution. 27(8). 1750–1758. 28 indexed citations

13.

Lin, Fankai, et al.. (2009). CAPIH: A Web interface for comparative analyses and visualization of host-HIV protein-protein interactions. BMC Microbiology. 9(1). 164–164. 11 indexed citations

14.

Huang, Yao‐Ting, et al.. (2008). Identification and analysis of ancestral hominoid transcriptome inferred from cross-species transcript and processed pseudogene comparisons. Genome Research. 18(7). 1163–1170. 6 indexed citations

15.

Chen, Feng‐Chi & Trees‐Juen Chuang. (2007). Different alternative splicing patterns are subject to opposite selection pressure for protein reading frame preservation. BMC Evolutionary Biology. 7(1). 179–179. 10 indexed citations

16.

Chen, Feng‐Chi, et al.. (2006). Human-specific insertions and deletions inferred from mammalian genome sequences. Genome Research. 17(1). 16–22. 48 indexed citations

17.

Chen, Feng‐Chi, et al.. (2005). Alternatively and Constitutively Spliced Exons Are Subject to Different Evolutionary Forces. Molecular Biology and Evolution. 23(3). 675–682. 48 indexed citations

18.

Chuang, Trees‐Juen, et al.. (2005). ESTviewer: a web interface for visualizing mouse, rat, cattle, pig and chicken conserved ESTs in human genes and human alternatively spliced variants. Computer applications in the biosciences. 21(10). 2510–2513. 3 indexed citations

19.

Chuang, Trees‐Juen, et al.. (2004). A comparative method for identification of gene structures and alternatively spliced variants. Bioinformatics. 20(17). 3064–3079. 11 indexed citations

20.

Chuang, Trees‐Juen, Wen‐chang Lin, Hurng-Chun Lee, et al.. (2003). A Complexity Reduction Algorithm for Analysis and Annotation of Large Genomic Sequences. Genome Research. 13(2). 313–322. 7 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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