Kung‐Yao Chang

941 total citations
24 papers, 744 citations indexed

About

Kung‐Yao Chang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Organic Chemistry. According to data from OpenAlex, Kung‐Yao Chang has authored 24 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 3 papers in Organic Chemistry. Recurrent topics in Kung‐Yao Chang's work include RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). Kung‐Yao Chang is often cited by papers focused on RNA and protein synthesis mechanisms (14 papers), RNA Research and Splicing (7 papers) and RNA modifications and cancer (6 papers). Kung‐Yao Chang collaborates with scholars based in Taiwan, United States and United Kingdom. Kung‐Yao Chang's co-authors include Ignacio Tinoco, Andres Ramos, Ming-Yuan Chou, I Tinoco, Ignacio Tinoco, Gang Chen, Carlos Bustamante, Kung‐Tsung Wang, Shih‐Hsiung Wu and Gabriele Varani and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Kung‐Yao Chang

24 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kung‐Yao Chang Taiwan 15 640 103 80 58 46 24 744
Makoto Koizumi Japan 17 1.4k 2.1× 69 0.7× 113 1.4× 54 0.9× 106 2.3× 42 1.5k
Georgij Kostiuk Germany 10 609 1.0× 71 0.7× 102 1.3× 39 0.7× 124 2.7× 11 716
Joshua Carter United States 9 650 1.0× 52 0.5× 96 1.2× 21 0.4× 129 2.8× 12 772
Tamaki Endoh Japan 22 1.4k 2.1× 52 0.5× 131 1.6× 33 0.6× 104 2.3× 69 1.5k
Tara Fox United States 12 616 1.0× 33 0.3× 61 0.8× 34 0.6× 133 2.9× 17 739
Gia Machaidze Switzerland 11 386 0.6× 46 0.4× 70 0.9× 22 0.4× 23 0.5× 16 547
Thomas J. Utley United States 17 417 0.7× 72 0.7× 36 0.5× 65 1.1× 52 1.1× 25 824
Kristian H. Link United States 8 559 0.9× 34 0.3× 30 0.4× 40 0.7× 110 2.4× 9 671
Sultan Doğanay United States 9 283 0.4× 32 0.3× 27 0.3× 52 0.9× 34 0.7× 10 567
Mireille Pellis Belgium 7 688 1.1× 23 0.2× 55 0.7× 32 0.6× 75 1.6× 7 907

Countries citing papers authored by Kung‐Yao Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kung‐Yao Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kung‐Yao Chang. 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 Kung‐Yao Chang. The network helps show where Kung‐Yao Chang may publish in the future.

Co-authorship network of co-authors of Kung‐Yao Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kung‐Yao Chang. A scholar is included among the top collaborators of Kung‐Yao Chang 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 Kung‐Yao Chang. Kung‐Yao Chang 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.
Murata, Asako, et al.. (2022). Premature translation termination mediated non-ER stress induced ATF6 activation by a ligand-dependent ribosomal frameshifting circuit. Nucleic Acids Research. 50(9). 5369–5383. 2 indexed citations
2.
Castelli, Lydia M., et al.. (2021). Mechanisms of repeat-associated non-AUG translation in neurological microsatellite expansion disorders. Biochemical Society Transactions. 49(2). 775–792. 20 indexed citations
3.
Chen, Yu‐Ting, et al.. (2017). Coordination among tertiary base pairs results in an efficient frameshift-stimulating RNA pseudoknot. Nucleic Acids Research. 45(10). 6011–6022. 14 indexed citations
4.
Chang, Kung‐Yao, et al.. (2016). Rational design of a synthetic mammalian riboswitch as a ligand-responsive -1 ribosomal frame-shifting stimulator. Nucleic Acids Research. 44(18). 9005–9015. 15 indexed citations
5.
Chang, Ching‐Wen, Kung‐Yao Chang, Ying‐Hao Chu, & Shyh‐Jye Jou. (2015). Near‐threshold all‐digital PLL with dynamic voltage scaling power management. Electronics Letters. 52(2). 109–111. 4 indexed citations
6.
Chang, Kung‐Yao, et al.. (2015). A general strategy to inhibiting viral −1 frameshifting based on upstream attenuation duplex formation. Nucleic Acids Research. 44(1). 256–266. 17 indexed citations
7.
Lin, Ya-Hui, et al.. (2014). Synergetic regulation of translational reading-frame switch by ligand-responsive RNAs in mammalian cells. Nucleic Acids Research. 42(22). 14070–14082. 18 indexed citations
8.
Chou, Ming-Yuan, et al.. (2013). Regulation of Programmed Ribosomal Frameshifting by Co-Translational Refolding RNA Hairpins. PLoS ONE. 8(4). e62283–e62283. 37 indexed citations
9.
Chou, Ming-Yuan, et al.. (2010). Stimulation of −1 programmed ribosomal frameshifting by a metabolite-responsive RNA pseudoknot. RNA. 16(6). 1236–1244. 10 indexed citations
10.
Chou, Ming-Yuan & Kung‐Yao Chang. (2009). An intermolecular RNA triplex provides insight into structural determinants for the pseudoknot stimulator of −1 ribosomal frameshifting. Nucleic Acids Research. 38(5). 1676–1685. 22 indexed citations
11.
Thissen, Helmut, Kung‐Yao Chang, Tracy A. Tebb, et al.. (2006). Synthetic biodegradable microparticles for articular cartilage tissue engineering. Journal of Biomedical Materials Research Part A. 77A(3). 590–598. 46 indexed citations
12.
Chang, Kung‐Yao & Andres Ramos. (2005). The double‐stranded RNA‐binding motif, a versatile macromolecular docking platform. FEBS Journal. 272(9). 2109–2117. 110 indexed citations
13.
Liu, Yaping, Ching-Wen Chang, & Kung‐Yao Chang. (2003). Mutational analysis of the KIX domain of CBP reveals residues critical for SREBP binding. FEBS Letters. 554(3). 403–409. 8 indexed citations
14.
Lai, Yen‐Shin, et al.. (2002). Sensorless vector controllers for induction motor drives. 2. 663–669. 4 indexed citations
15.
Chang, Kung‐Yao, et al.. (1999). Correlation of deformability at a tRNA recognition site and aminoacylation specificity. Proceedings of the National Academy of Sciences. 96(21). 11764–11769. 26 indexed citations
16.
Chang, Kung‐Yao & Ignacio Tinoco. (1997). The structure of an RNA “kissing” hairpin complex of the HIV TAR hairpin loop and its complement. Journal of Molecular Biology. 269(1). 52–66. 115 indexed citations
17.
Chang, Kung‐Yao, et al.. (1994). Preparation of 2,3,6,2′,3′,4′,6′-hepta-O-acetyl-maltose/cellobiose by enzymatic hydrolysis of maltose/cellobiose octaacetate. Carbohydrate Research. 265(2). 311–318. 13 indexed citations
18.
19.
Chang, Kung‐Yao, Shih‐Hsiung Wu, & Kung‐Tsung Wang. (1991). Preparation of Hepta-O-Acetylsucroses and Hexa-O-Acetylsucroses by Enzymatic Hydrolysis. Journal of Carbohydrate Chemistry. 10(2). 251–261. 12 indexed citations
20.
Chang, Kung‐Yao, Shih‐Hsiung Wu, & Kung‐Tsung Wang. (1991). Regioselective enzymic deacetylation of octa-O-acetyl-sucrose: preparation of hepta-O-acetylsucroses. Carbohydrate Research. 222. 121–129. 24 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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