Kuangyu Yen

1.6k total citations
24 papers, 972 citations indexed

About

Kuangyu Yen is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Kuangyu Yen has authored 24 papers receiving a total of 972 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Hematology. Recurrent topics in Kuangyu Yen's work include Genomics and Chromatin Dynamics (12 papers), Acute Myeloid Leukemia Research (5 papers) and RNA modifications and cancer (5 papers). Kuangyu Yen is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Acute Myeloid Leukemia Research (5 papers) and RNA modifications and cancer (5 papers). Kuangyu Yen collaborates with scholars based in China, United States and United Kingdom. Kuangyu Yen's co-authors include B. Franklin Pugh, Vinesh Vinayachandran, Kiran Batta, Zhenhai Zhang, Paul Gitsham, Nianshu Zhang, Stephen G. Oliver, Jill A. Wishart, Michael J. Osborn and Jim Miller and has published in prestigious journals such as Cell, Nature Communications and Genes & Development.

In The Last Decade

Kuangyu Yen

22 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kuangyu Yen China	12	871	147	60	55	50	24	972
Abhijit Shukla United States	16	1.2k 1.3×	94 0.6×	43 0.7×	99 1.8×	48 1.0×	20	1.2k
Christian Poitras Canada	13	989 1.1×	72 0.5×	71 1.2×	97 1.8×	57 1.1×	19	1.1k
Eduardo Gade Gusmao Germany	12	537 0.6×	87 0.6×	23 0.4×	54 1.0×	89 1.8×	17	670
Anuja Mehta United States	5	579 0.7×	76 0.5×	41 0.7×	71 1.3×	32 0.6×	5	676
Stephen Ohms Australia	12	476 0.5×	359 2.4×	146 2.4×	25 0.5×	50 1.0×	19	715
Adriana Gonzalez‐Sandoval Switzerland	8	637 0.7×	75 0.5×	47 0.8×	80 1.5×	36 0.7×	10	694
Evangelia Koutelou United States	14	665 0.8×	59 0.4×	60 1.0×	68 1.2×	43 0.9×	16	767
Kengo Tsuda Japan	16	593 0.7×	50 0.3×	30 0.5×	33 0.6×	55 1.1×	30	693
W. Jason Cummings United States	11	362 0.4×	131 0.9×	52 0.9×	37 0.7×	130 2.6×	18	509
Sergio Lois Spain	12	421 0.5×	46 0.3×	18 0.3×	83 1.5×	32 0.6×	23	543

Countries citing papers authored by Kuangyu Yen

Since Specialization

Citations

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

Fields of papers citing papers by Kuangyu Yen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kuangyu Yen

This figure shows the co-authorship network connecting the top 25 collaborators of Kuangyu Yen. A scholar is included among the top collaborators of Kuangyu Yen 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 Kuangyu Yen. Kuangyu Yen 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

Yen, Kuangyu, et al.. (2025). Developmental Origins of the Heterogeneous Hematopoiesis. American Journal of Hematology. 100(11). 2074–2090.

Yang, Jianyu, Kuangyu Yen, & Shaun Mahony. (2024). Size-based expectation maximization for characterizing nucleosome positions and subtypes. Genome Research. 34(9). 1334–1343.

Li, Qiwei, et al.. (2023). Cross-species transcriptomics reveals bifurcation point during the arterial-to-hemogenic transition. Communications Biology. 6(1). 827–827. 1 indexed citations

Liu, Shan, Jianyu Yang, Guohuan Sun, et al.. (2021). RUNX1 Upregulates CENPE to Promote Leukemic Cell Proliferation. Frontiers in Molecular Biosciences. 8. 692880–692880. 6 indexed citations

Lü, Ting, Shan Liu, Jianyu Yang, et al.. (2021). Comprehensive understanding of Tn5 insertion preference improves transcription regulatory element identification. NAR Genomics and Bioinformatics. 3(4). lqab094–lqab094. 9 indexed citations

Yang, Xue, et al.. (2021). Prognostic Prediction of Cytogenetically Normal Acute Myeloid Leukemia Based on a Gene Expression Model. Frontiers in Oncology. 11. 659201–659201. 7 indexed citations

Wang, Ying, Tienan Wang, Jianchao Li, et al.. (2021). Functional Verification of Novel ELMO1 Variants by Live Imaging in Zebrafish. Frontiers in Cell and Developmental Biology. 9. 723804–723804. 3 indexed citations

Kumari, Ankita, Jixiang Liu, Yiyue Zhang, et al.. (2021). Chemical screening reveals Ronidazole is a superior prodrug to Metronidazole for nitroreductase-induced cell ablation system in zebrafish larvae. Journal of genetics and genomics. 48(12). 1081–1090. 11 indexed citations

Zhang, Yiyue, Jin Xu, Zhibin Huang, et al.. (2021). Asxl1 C-terminal mutation perturbs neutrophil differentiation in zebrafish. Leukemia. 35(8). 2299–2310. 16 indexed citations

10.

Jiang, Yunyun, Jiahao Chen, Kuangyu Yen, & Jin Xu. (2019). Ectopically Expressed IL-34 Can Efficiently Induce Macrophage Migration to the Liver in Zebrafish. Zebrafish. 16(2). 165–170. 10 indexed citations

11.

Wang, Yajie, Ting Lü, Guohuan Sun, et al.. (2019). Targeting of apoptosis gene loci by reprogramming factors leads to selective eradication of leukemia cells. Nature Communications. 10(1). 5594–5594. 14 indexed citations

12.

Aguilar‐Gurrieri, Carmen, Amédé Larabi, Vinesh Vinayachandran, et al.. (2016). Structural evidence for Nap1‐dependent H2A–H2B deposition and nucleosome assembly. The EMBO Journal. 35(13). 1465–1482. 58 indexed citations

13.

Oss, S. Branden Van, Margaret K. Shirra, Alain R. Bataille, et al.. (2016). The Histone Modification Domain of Paf1 Complex Subunit Rtf1 Directly Stimulates H2B Ubiquitylation through an Interaction with Rad6. Molecular Cell. 64(4). 815–825. 73 indexed citations

14.

Yen, Kuangyu, Vinesh Vinayachandran, & B. Franklin Pugh. (2013). SWR-C and INO80 Chromatin Remodelers Recognize Nucleosome-free Regions Near +1 Nucleosomes. Cell. 154(6). 1246–1256. 151 indexed citations

15.

Lee, Jung‐Shin, Alexander S. Garrett, Kuangyu Yen, et al.. (2012). Codependency of H2B monoubiquitination and nucleosome reassembly on Chd1. Genes & Development. 26(9). 914–919. 58 indexed citations

16.

Yen, Kuangyu, et al.. (2012). Genome-wide Nucleosome Specificity and Directionality of Chromatin Remodelers. Cell. 149(7). 1461–1473. 237 indexed citations

17.

Young, Elton T., et al.. (2009). Snf1‐independent, glucose‐resistant transcription of Adr1‐dependent genes in a mediator mutant of Saccharomyces cerevisiae. Molecular Microbiology. 74(2). 364–383. 6 indexed citations

18.

Wishart, Jill A., Michael J. Osborn, Manda E. Gent, et al.. (2006). The relative merits of the tetO₂ and tetO₇ promoter systems for the functional analysis of heterologous genes in yeast and a compilation of essential yeast genes with tetO₂ promoter substitutions. Yeast. 23(4). 325–331. 11 indexed citations

19.

Yen, Kuangyu, Paul Gitsham, Jill A. Wishart, Stephen G. Oliver, & Nianshu Zhang. (2003). An improved tetO promoter replacement system for regulating the expression of yeast genes. Yeast. 20(15). 1255–1262. 32 indexed citations

20.

Zhang, Nianshu, Michael J. Osborn, Paul Gitsham, et al.. (2003). Using yeast to place human genes in functional categories. Gene. 303. 121–129. 42 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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