Mei-Shiue Kuo

650 total citations
11 papers, 483 citations indexed

About

Mei-Shiue Kuo is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Mei-Shiue Kuo has authored 11 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Genetics. Recurrent topics in Mei-Shiue Kuo's work include FOXO transcription factor regulation (3 papers), DNA Repair Mechanisms (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Mei-Shiue Kuo is often cited by papers focused on FOXO transcription factor regulation (3 papers), DNA Repair Mechanisms (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Mei-Shiue Kuo collaborates with scholars based in France and Taiwan. Mei-Shiue Kuo's co-authors include Tarik Issad, Vladimir Zilberfarb, Nicolas Gangneux, N. Christeff, Luc Friboulet, Bei‐En Chang, Jean‐Charles Soria, Jean‐Yves Scoazec, David Planchard and Whei-Fen Wu and has published in prestigious journals such as PLoS ONE, Clinical Cancer Research and FEBS Letters.

In The Last Decade

Mei-Shiue Kuo

11 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei-Shiue Kuo France 8 371 98 89 83 64 11 483
Kenneth W. Batchelor United States 9 159 0.4× 111 1.1× 47 0.5× 53 0.6× 29 0.5× 12 442
Yoshio Takada Japan 9 260 0.7× 27 0.3× 76 0.9× 42 0.5× 53 0.8× 20 500
Toshihiro Chikanishi Japan 10 337 0.9× 26 0.3× 80 0.9× 37 0.4× 24 0.4× 12 504
Monika Lamparska‐Przybysz Poland 10 299 0.8× 52 0.5× 35 0.4× 109 1.3× 30 0.5× 17 443
Poh Yong Ng Singapore 8 266 0.7× 45 0.5× 35 0.4× 58 0.7× 21 0.3× 8 462
Lorela Ciraku United States 7 341 0.9× 38 0.4× 115 1.3× 61 0.7× 30 0.5× 9 455
Jianping Chen China 11 253 0.7× 50 0.5× 68 0.8× 205 2.5× 36 0.6× 20 451
Irene Marchesi Italy 14 315 0.8× 74 0.8× 32 0.4× 107 1.3× 23 0.4× 23 452
Wachiko Nakata Japan 9 251 0.7× 35 0.4× 105 1.2× 130 1.6× 91 1.4× 10 436
Dawn A. Bradbury United Kingdom 8 149 0.4× 44 0.4× 78 0.9× 81 1.0× 20 0.3× 9 396

Countries citing papers authored by Mei-Shiue Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Mei-Shiue Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mei-Shiue Kuo. 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 Mei-Shiue Kuo. The network helps show where Mei-Shiue Kuo may publish in the future.

Co-authorship network of co-authors of Mei-Shiue Kuo

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

All Works

11 of 11 papers shown
1.
Kuo, Mei-Shiue, Julien Adam, Nicolas Dorvault, et al.. (2018). A novel antibody-based approach to detect the functional ERCC1-202 isoform. DNA repair. 64. 34–44. 6 indexed citations
2.
Facchinetti, Francesco, Yohann Loriot, Mei-Shiue Kuo, et al.. (2016). Crizotinib-Resistant ROS1 Mutations Reveal a Predictive Kinase Inhibitor Sensitivity Model for ROS1 - and ALK -Rearranged Lung Cancers. Clinical Cancer Research. 22(24). 5983–5991. 111 indexed citations
4.
Timmins, Joanna, E. Gordon, Sofia Caria, et al.. (2009). Structural and Mutational Analyses of Deinococcus radiodurans UvrA2 Provide Insight into DNA Binding and Damage Recognition by UvrAs. Structure. 17(4). 547–558. 37 indexed citations
5.
Issad, Tarik & Mei-Shiue Kuo. (2008). O-GlcNAc modification of transcription factors, glucose sensing and glucotoxicity. Trends in Endocrinology and Metabolism. 19(10). 380–389. 107 indexed citations
6.
Kuo, Mei-Shiue, Vladimir Zilberfarb, Nicolas Gangneux, N. Christeff, & Tarik Issad. (2008). O‐glycosylation of FoxO1 increases its transcriptional activity towards the glucose 6‐phosphatase gene. FEBS Letters. 582(5). 829–834. 89 indexed citations
7.
Kuo, Mei-Shiue, Vladimir Zilberfarb, Nicolas Gangneux, N. Christeff, & Tarik Issad. (2008). Un nouveau mode de régulation de FoxO1 par O-glycosylation. médecine/sciences. 24(4). 369–371. 4 indexed citations
8.
Kuo, Mei-Shiue, Vladimir Zilberfarb, Nicolas Gangneux, N. Christeff, & Tarik Issad. (2008). O-GlcNAc modification of FoxO1 increases its transcriptional activity: A role in the glucotoxicity phenomenon?. Biochimie. 90(5). 679–685. 57 indexed citations
9.
Hou, Hsin‐Han, et al.. (2005). Recapitulation of human βB1‐crystallin promoter activity in transgenic zebrafish. Developmental Dynamics. 235(2). 435–443. 5 indexed citations
10.
Chang, Bei‐En, et al.. (2004). Developmental toxicity of arecoline, the major alkaloid in betel nuts, in zebrafish embryos. Birth Defects Research Part A Clinical and Molecular Teratology. 70(1). 28–36. 31 indexed citations
11.
Kuo, Mei-Shiue, et al.. (2004). Regulation of RcsA by the ClpYQ (HslUV) protease in Escherichia coli. Microbiology. 150(2). 437–446. 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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2026