Ya‐Huei Kuo

2.1k total citations
44 papers, 930 citations indexed

About

Ya‐Huei Kuo is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Ya‐Huei Kuo has authored 44 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 23 papers in Hematology and 12 papers in Immunology. Recurrent topics in Ya‐Huei Kuo's work include Acute Myeloid Leukemia Research (20 papers), Immune Cell Function and Interaction (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Ya‐Huei Kuo is often cited by papers focused on Acute Myeloid Leukemia Research (20 papers), Immune Cell Function and Interaction (6 papers) and Histone Deacetylase Inhibitors Research (6 papers). Ya‐Huei Kuo collaborates with scholars based in United States, China and Poland. Ya‐Huei Kuo's co-authors include Lucio H. Castilla, Sean F. Landrette, Thomas T. Chen, Qi Cai, Guido Marcucci, Paola N. Perrat, Jing Qi, Ravi Bhatia, Stephen J. Forman and Allen Lin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Ya‐Huei Kuo

41 papers receiving 923 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya‐Huei Kuo United States 15 579 357 235 179 114 44 930
Shuhei Koide Japan 17 649 1.1× 276 0.8× 171 0.7× 153 0.9× 141 1.2× 48 932
Baohua Sun United States 20 893 1.5× 260 0.7× 268 1.1× 119 0.7× 117 1.0× 41 1.2k
Stéphanie Dumon United Kingdom 15 435 0.8× 300 0.8× 307 1.3× 204 1.1× 101 0.9× 17 829
Amit J. Sabnis United States 13 562 1.0× 151 0.4× 245 1.0× 101 0.6× 113 1.0× 32 951
Lorena Lôbo de Figueiredo-Pontes Brazil 15 664 1.1× 228 0.6× 258 1.1× 119 0.7× 300 2.6× 50 1.1k
Frédéric Pendino France 18 733 1.3× 191 0.5× 191 0.8× 115 0.6× 109 1.0× 25 961
Nadine Mayotte Canada 21 852 1.5× 563 1.6× 186 0.8× 269 1.5× 121 1.1× 38 1.3k
Jennifer Lauchle United States 13 512 0.9× 243 0.7× 203 0.9× 80 0.4× 65 0.6× 23 833
Jorge DiMartino United States 14 829 1.4× 588 1.6× 217 0.9× 117 0.7× 88 0.8× 42 1.2k
Cezary Swider United States 11 522 0.9× 494 1.4× 239 1.0× 175 1.0× 191 1.7× 20 1.1k

Countries citing papers authored by Ya‐Huei Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Huei Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya‐Huei Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Huei Kuo. A scholar is included among the top collaborators of Ya‐Huei 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 Ya‐Huei Kuo. Ya‐Huei 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.
Frankhouser, David, Russell C. Rockne, Dandan Zhao, et al.. (2024). State-transition modeling of blood transcriptome predicts disease evolution and treatment response in chronic myeloid leukemia. Leukemia. 38(4). 769–780. 2 indexed citations
2.
Jia, Qiong, Xiancai Zhong, Prajish Iyer, et al.. (2024). Cancer-associated SF3B1-K700E mutation controls immune responses by regulating T reg function via aberrant Anapc13 splicing. Science Advances. 10(38). eado4274–eado4274. 3 indexed citations
3.
Branciamore, Sergio, David Frankhouser, Denis O’Meally, et al.. (2024). Transcriptome free energy can serve as a dynamic patient-specific biomarker in acute myeloid leukemia. npj Systems Biology and Applications. 10(1). 32–32. 2 indexed citations
4.
Zhang, Lianjun, Ying‐Chieh Chen, David Frankhouser, et al.. (2023). Single-Cell RNA-Seq Reveals Intermediate Cell States and Identifies Features Defining Cellular Heterogeneity in Inv(16) Acute Myeloid Leukemia (AML). Blood. 142(Supplement 1). 5683–5683. 1 indexed citations
5.
Garcia‐Mansfield, Krystine, Antonio Pompeiano, Jiyan An, et al.. (2023). Proteomics and mathematical modeling of longitudinal CSF differentiates fast versus slow ALS progression. Annals of Clinical and Translational Neurology. 10(11). 2025–2042. 11 indexed citations
6.
Kang, HyunJun, Khyatiben V. Pathak, Lianjun Zhang, et al.. (2023). In Vivo Antileukemic Activity of Ost-01 in Acute Myeloid Leukemia (AML): A Novel Natural Product (NP) from Baccharis Coridifolia. Blood. 142(Supplement 1). 1565–1565.
7.
Han, Si‐ping, Lisa Scherer, Ane Salvador, et al.. (2022). Programmable siRNA pro-drugs that activate RNAi activity in response to specific cellular RNA biomarkers. Molecular Therapy — Nucleic Acids. 27. 797–809. 8 indexed citations
8.
Frankhouser, David, Denis O’Meally, Sergio Branciamore, et al.. (2022). Dynamic patterns of microRNA expression during acute myeloid leukemia state-transition. Science Advances. 8(16). eabj1664–eabj1664. 7 indexed citations
9.
Zhao, Dandan, Sergio Branciamore, Ya‐Huei Kuo, et al.. (2022). MicroRNA networks in FLT3-ITD acute myeloid leukemia. Proceedings of the National Academy of Sciences. 119(16). e2112482119–e2112482119. 10 indexed citations
10.
Zhao, Dandan, Huafeng Wang, Chen Liang, et al.. (2020). Microrna-142 Deficiency Promotes Chronic Myeloid Leukemia (CML) Transformation from Chronic Phase (CP) to Blast Crisis (BC). Blood. 136(Supplement 1). 4–4. 1 indexed citations
11.
Nguyen, Dang, Michael S. Nelson, Lianjun Zhang, et al.. (2020). Requirement of GTP binding for TIF‐90‐regulated ribosomal RNA synthesis and oncogenic activities in human colon cancer cells. Journal of Cellular Physiology. 235(10). 7567–7579. 3 indexed citations
12.
Cho, Heyrim, et al.. (2018). Modelling acute myeloid leukaemia in a continuum of differentiation states. SHILAP Revista de lepidopterología. 5(sup1). S69–S98. 10 indexed citations
13.
Brewer, Casey, Bin Zhang, Le Xuan Truong Nguyen, et al.. (2017). MiR-126 Promotes Leukemogenesis in Inv(16) Acute Myeloid Leukemia. Blood. 130. 301–301. 3 indexed citations
14.
Kuo, Ya‐Huei, et al.. (2016). Regain control of p53: Targeting leukemia stem cells by isoform-specific HDAC inhibition. Experimental Hematology. 44(5). 315–321. 26 indexed citations
15.
Sun, Jie, Ying‐Hui Zhu, Zonghui Ding, et al.. (2016). TET2 Activity Is Modulated By SIRT1-Mediated Protein Deacetylation: A Potential Therapeutic Target in Myelodysplastic Syndrome. Blood. 128(22). 1053–1053.
16.
Zhang, Bin, Ling Li, Ching‐Cheng Chen, et al.. (2015). Knockdown (KD) of Mir-126 Expression Enhances Tyrosine Kinase Inhibitor (TKI)-Mediated Targeting of Chronic Myelogenous Leukemia (CML) Stem Cells. Blood. 126(23). 51–51. 2 indexed citations
17.
Qi, Jing, Sandeep Singh, Qi Cai, et al.. (2015). HDAC8 Inhibition Specifically Targets Inv(16) Acute Myeloid Leukemic Stem Cells by Restoring p53 Acetylation. Cell stem cell. 17(5). 597–610. 85 indexed citations
18.
Santos, Cédric Dos, Tinisha McDonald, Yin Wei Ho, et al.. (2013). The Src and c-Kit kinase inhibitor dasatinib enhances p53-mediated targeting of human acute myeloid leukemia stem cells by chemotherapeutic agents. Blood. 122(11). 1900–1913. 79 indexed citations
19.
Kuo, Ya‐Huei, Sean F. Landrette, Susan A. Heilman, et al.. (2006). Cbfβ-SMMHC induces distinct abnormal myeloid progenitors able to develop acute myeloid leukemia. Cancer Cell. 9(1). 57–68. 97 indexed citations
20.
Kuo, Ya‐Huei & Thomas T. Chen. (2002). Novel Activities of Pro-IGF-I E Peptides: Regulation of Morphological Differentiation and Anchorage-Independent Growth in Human Neuroblastoma Cells. Experimental Cell Research. 280(1). 75–89. 47 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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