Taiyi Kuo

2.3k total citations · 1 hit paper
27 papers, 1.6k citations indexed

About

Taiyi Kuo is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Taiyi Kuo has authored 27 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Surgery and 9 papers in Genetics. Recurrent topics in Taiyi Kuo's work include Pancreatic function and diabetes (14 papers), FOXO transcription factor regulation (9 papers) and Metabolism, Diabetes, and Cancer (6 papers). Taiyi Kuo is often cited by papers focused on Pancreatic function and diabetes (14 papers), FOXO transcription factor regulation (9 papers) and Metabolism, Diabetes, and Cancer (6 papers). Taiyi Kuo collaborates with scholars based in United States, Japan and Sweden. Taiyi Kuo's co-authors include Jen-Chywan Wang, Tzu-Chieh Chen, Amy McQueen, Charles Harris, Nora E. Gray, Domenico Accili, Kayleen S. Kott, Katherine W. Ferrara, Anne A. Knowlton and Zainab Malik and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Taiyi Kuo

26 papers receiving 1.6k citations

Hit Papers

Regulation of Glucose Homeostasis by Glucocorticoids 2015 2026 2018 2022 2015 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Taiyi Kuo United States 16 620 373 367 282 226 27 1.6k
Miles J. De Blasio Australia 28 641 1.0× 416 1.1× 303 0.8× 283 1.0× 161 0.7× 79 2.3k
Emily Farber United States 22 1.1k 1.7× 197 0.5× 279 0.8× 139 0.5× 223 1.0× 35 1.9k
Jacqueline L. Beaudry Canada 16 726 1.2× 537 1.4× 398 1.1× 220 0.8× 483 2.1× 35 1.7k
Omid Khorram United States 34 506 0.8× 348 0.9× 706 1.9× 143 0.5× 271 1.2× 115 3.4k
Omar P. Pignataro Argentina 24 782 1.3× 352 0.9× 324 0.9× 158 0.6× 256 1.1× 77 2.0k
Anna Benrick Sweden 26 453 0.7× 320 0.9× 344 0.9× 150 0.5× 264 1.2× 57 2.2k
Tsuyoshi Monden Japan 23 754 1.2× 460 1.2× 788 2.1× 315 1.1× 315 1.4× 55 2.3k
Takafumi Tsuchiya Japan 19 450 0.7× 528 1.4× 252 0.7× 276 1.0× 158 0.7× 56 1.8k
Anthony H. Taylor United Kingdom 34 558 0.9× 287 0.8× 576 1.6× 355 1.3× 531 2.3× 80 3.3k
Jennifer W. Hill United States 28 989 1.6× 712 1.9× 274 0.7× 236 0.8× 199 0.9× 61 2.9k

Countries citing papers authored by Taiyi Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Taiyi Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taiyi Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Taiyi Kuo. A scholar is included among the top collaborators of Taiyi 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 Taiyi Kuo. Taiyi Kuo 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.
2.
Watanabe, Hitoshi, Wen Du, Jinsook Son, et al.. (2023). Cyb5r3-based mechanism and reversal of secondary failure to sulfonylurea in diabetes. Science Translational Medicine. 15(681). 9 indexed citations
3.
McKimpson, Wendy M., Taiyi Kuo, Takumi Kitamoto, et al.. (2022). FOXO1 Is Present in Stomach Epithelium and Determines Gastric Cell Distribution. SHILAP Revista de lepidopterología. 1(5). 733–745. 3 indexed citations
4.
Accili, Domenico, Wen Du, Takumi Kitamoto, et al.. (2022). Reflections on the state of diabetes research and prospects for treatment. Diabetology International. 14(1). 21–31. 3 indexed citations
5.
Kuo, Taiyi, Wen Du, Yasutaka Miyachi, et al.. (2021). Antagonistic epistasis of Hnf4α and FoxO1 metabolic networks through enhancer interactions in β-cell function. Molecular Metabolism. 53. 101256–101256. 6 indexed citations
6.
Kitamoto, Takumi, Taiyi Kuo, Atsushi Okabe, Atsushi Kaneda, & Domenico Accili. (2021). An integrative transcriptional logic model of hepatic insulin resistance. Proceedings of the National Academy of Sciences. 118(45). 11 indexed citations
7.
Miyachi, Yasutaka, Taiyi Kuo, Jinsook Son, & Domenico Accili. (2021). Aldo-ketoreductase 1c19 ablation does not affect insulin secretion in murine islets. PLoS ONE. 16(11). e0260526–e0260526. 1 indexed citations
8.
Chen, Tzu-Chieh, Taiyi Kuo, Rebecca A. Lee, et al.. (2021). The role of striated muscle Pik3r1 in glucose and protein metabolism following chronic glucocorticoid exposure. Journal of Biological Chemistry. 296. 100395–100395. 10 indexed citations
9.
Fan, Jason, Wen Du, Ja Young Kim-Muller, et al.. (2020). Cyb5r3 links FoxO1-dependent mitochondrial dysfunction with β-cell failure. Molecular Metabolism. 34. 97–111. 29 indexed citations
10.
Kuo, Taiyi, Manashree Damle, Bryan J. González, et al.. (2019). Induction of α cell–restricted Gc in dedifferentiating β cells contributes to stress-induced β cell dysfunction. JCI Insight. 4(13). 18 indexed citations
11.
McKimpson, Wendy M., Taiyi Kuo, & Domenico Accili. (2018). Foxo1-Expressing Cells in the Gut as a Source of Insulin for Diabetes Treatment. Diabetes. 67(Supplement_1). 2 indexed citations
12.
Kuo, Taiyi, Ja Young Kim-Muller, Timothy E. McGraw, & Domenico Accili. (2016). Altered Plasma Profile of Antioxidant Proteins as an Early Correlate of Pancreatic β Cell Dysfunction. Journal of Biological Chemistry. 291(18). 9648–9656. 14 indexed citations
13.
Kuo, Taiyi, et al.. (2016). Transcriptional regulation of FoxO3 gene by glucocorticoids in murine myotubes. American Journal of Physiology-Endocrinology and Metabolism. 310(7). E572–E585. 15 indexed citations
14.
Kuo, Taiyi, Amy McQueen, Tzu-Chieh Chen, & Jen-Chywan Wang. (2015). Regulation of Glucose Homeostasis by Glucocorticoids. Advances in experimental medicine and biology. 872. 99–126. 492 indexed citations breakdown →
15.
Kuo, Taiyi, et al.. (2014). Repression of glucocorticoid-stimulated angiopoietin-like 4 gene transcription by insulin. Journal of Lipid Research. 55(5). 919–928. 30 indexed citations
16.
Kuo, Taiyi, Charles Harris, & Jen-Chywan Wang. (2013). Metabolic functions of glucocorticoid receptor in skeletal muscle. Molecular and Cellular Endocrinology. 380(1-2). 79–88. 173 indexed citations
17.
Malik, Zainab, Kayleen S. Kott, Adam J. Poe, et al.. (2013). Cardiac myocyte exosomes: stability, HSP60, and proteomics. American Journal of Physiology-Heart and Circulatory Physiology. 304(7). H954–H965. 169 indexed citations
18.
Wang, Jen-Chywan, Nora E. Gray, Taiyi Kuo, & Charles Harris. (2012). Regulation of triglyceride metabolism by glucocorticoid receptor. Cell & Bioscience. 2(1). 19–19. 97 indexed citations
19.
Koliwad, Suneil K., Taiyi Kuo, Lauren E. Shipp, et al.. (2009). Angiopoietin-like 4 (ANGPTL4, Fasting-induced Adipose Factor) Is a Direct Glucocorticoid Receptor Target and Participates in Glucocorticoid-regulated Triglyceride Metabolism. Journal of Biological Chemistry. 284(38). 25593–25601. 139 indexed citations
20.
Munson, Chantilly, Jan Huisken, Nana Bit‐Avragim, et al.. (2008). Regulation of neurocoel morphogenesis by Pard6γb. Developmental Biology. 324(1). 41–54. 44 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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