Chao‐Chung Kuo

1.5k total citations
23 papers, 671 citations indexed

About

Chao‐Chung Kuo is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Chao‐Chung Kuo has authored 23 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Hematology. Recurrent topics in Chao‐Chung Kuo's work include Epigenetics and DNA Methylation (10 papers), Acute Myeloid Leukemia Research (5 papers) and Cancer-related molecular mechanisms research (5 papers). Chao‐Chung Kuo is often cited by papers focused on Epigenetics and DNA Methylation (10 papers), Acute Myeloid Leukemia Research (5 papers) and Cancer-related molecular mechanisms research (5 papers). Chao‐Chung Kuo collaborates with scholars based in Germany, United States and United Kingdom. Chao‐Chung Kuo's co-authors include Ivan G. Costa, Wolfgang Wagner, Ingrid Grummt, Julia Franzen, Sonja Hänzelmann, Martin Zenke, Ronghui Li, Teodora Ribarska, Stefan L. Frank and Chandrasekhar Kanduri and has published in prestigious journals such as Nucleic Acids Research, Blood and Scientific Reports.

In The Last Decade

Chao‐Chung Kuo

21 papers receiving 665 citations

Peers

Chao‐Chung Kuo

GENET

Michelle L. Dubuke United States

Olga Piskareva Ireland

Ning Ran China

Wenshu Ge China

Jongmin Kim United States

Ravand Samaeekia United States

Rocio Enriquez-Gasca United Kingdom

Tim Davies United Kingdom

Junaid Afzal United States

Michelle L. Dubuke United States

Chao‐Chung Kuo

680 ×1.3

273 ×1.0

49 ×0.5

136 ×2.6

53 ×1.5

GENET

Citations per year, relative to Chao‐Chung Kuo Chao‐Chung Kuo (= 1×) peers Michelle L. Dubuke

Countries citing papers authored by Chao‐Chung Kuo

Since Specialization

Citations

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

Fields of papers citing papers by Chao‐Chung Kuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao‐Chung Kuo

This figure shows the co-authorship network connecting the top 25 collaborators of Chao‐Chung Kuo. A scholar is included among the top collaborators of Chao‐Chung 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 Chao‐Chung Kuo. Chao‐Chung Kuo 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

Kuo, Chao‐Chung, et al.. (2025). Diagnostic Potential of Serum Circulating miRNAs for Endometriosis in Patients with Chronic Pelvic Pain. Journal of Clinical Medicine. 14(14). 5154–5154. 2 indexed citations

Kuo, Chao‐Chung, et al.. (2025). Urine and Serum miRNA Signatures for the Non-Invasive Diagnosis of Adenomyosis: A Machine Learning-Based Pilot Study. Diagnostics. 15(23). 3012–3012.

Kirschner, Martin, Fabian Beier, Chao‐Chung Kuo, et al.. (2025). Telomere Length Is Associated With Adverse Atrial Remodeling in Patients With Atrial Fibrillation. Journal of the American Heart Association. 14(3). e037512–e037512. 3 indexed citations

Reinhard, Jacqueline, Lars Roll, Daniel L. Rathbun, et al.. (2024). Neural extracellular matrix regulates visual sensory motor integration. iScience. 27(2). 108846–108846. 2 indexed citations

Maurer, Jochen, Matthias Rübner, Chao‐Chung Kuo, et al.. (2024). Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples. Therapeutic Advances in Medical Oncology. 16. 12744299–12744299.

Patrick, Matthew T., Rachael Wasikowski, Mrinal K. Sarkar, et al.. (2023). Large-scale functional inference for skin-expressing lncRNAs using expression and sequence information. JCI Insight. 8(24). 5 indexed citations

Salla, Sabine, et al.. (2023). Cytoprotective Effects of Human Platelet Lysate during the Xeno-Free Culture of Human Donor Corneas. International Journal of Molecular Sciences. 24(3). 2882–2882. 3 indexed citations

Xu, Huaming, Zhijian Li, Chao‐Chung Kuo, et al.. (2023). A lncRNA identifies Irf8 enhancer element in negative feedback control of dendritic cell differentiation. eLife. 12. 9 indexed citations

Li, Zhijian, Chao‐Chung Kuo, Julia Gehrmann, et al.. (2023). RGT: a toolbox for the integrative analysis of high throughput regulatory genomics data. BMC Bioinformatics. 24(1). 79–79. 7 indexed citations

10.

Kuo, Chao‐Chung, et al.. (2022). Induction of senescence upon loss of the Ash2l core subunit of H3K4 methyltransferase complexes. Nucleic Acids Research. 50(14). 7889–7905. 7 indexed citations

11.

Kuo, Chao‐Chung, et al.. (2022). Loss of the Ash2l subunit of histone H3K4 methyltransferase complexes reduces chromatin accessibility at promoters. Scientific Reports. 12(1). 21506–21506. 7 indexed citations

12.

Franzen, Julia, Joana Frobel, Chao‐Chung Kuo, et al.. (2022). Hematopoietic differentiation persists in human iPSCs defective in de novo DNA methylation. BMC Biology. 20(1). 141–141. 6 indexed citations

13.

Franzen, Julia, Theodoros Georgomanolis, Anton Selich, et al.. (2021). DNA methylation changes during long-term in vitro cell culture are caused by epigenetic drift. Communications Biology. 4(1). 598–598. 39 indexed citations

14.

Kuo, Chao‐Chung, Jan Hapala, Julia Franzen, et al.. (2021). Investigation of measurable residual disease in acute myeloid leukemia by DNA methylation patterns. Leukemia. 36(1). 80–89. 20 indexed citations

15.

Franzen, Julia, Chao‐Chung Kuo, Margherita Vieri, et al.. (2020). PRDM8 reveals aberrant DNA methylation in aging syndromes and is relevant for hematopoietic and neuronal differentiation. Clinical Epigenetics. 12(1). 125–125. 18 indexed citations

16.

Han, Yang, Julia Franzen, Thomas Stiehl, et al.. (2020). New targeted approaches for epigenetic age predictions. BMC Biology. 18(1). 71–71. 61 indexed citations

17.

Kuo, Chao‐Chung, Sonja Hänzelmann, Stefan L. Frank, et al.. (2019). Detection of RNA–DNA binding sites in long noncoding RNAs. Nucleic Acids Research. 47(6). e32–e32. 127 indexed citations

18.

Lüscher‐Firzlaff, Juliane, Nicolas Chatain, Chao‐Chung Kuo, et al.. (2019). Hematopoietic stem and progenitor cell proliferation and differentiation requires the trithorax protein Ash2l. Scientific Reports. 9(1). 8262–8262. 19 indexed citations

19.

Abagnale, Giulio, Antonio Sechi, Michael F. Steger, et al.. (2017). Surface Topography Guides Morphology and Spatial Patterning of Induced Pluripotent Stem Cell Colonies. Stem Cell Reports. 9(2). 654–666. 121 indexed citations

20.

Hänzelmann, Sonja, Chao‐Chung Kuo, Julia Franzen, et al.. (2016). The lncRNA HOTAIR impacts on mesenchymal stem cellsviatriple helix formation. Nucleic Acids Research. 44(22). 10631–10643. 129 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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