Ho‐Ryun Chung

4.6k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Ho‐Ryun Chung is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Ho‐Ryun Chung has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Ho‐Ryun Chung's work include Genomics and Chromatin Dynamics (33 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Ho‐Ryun Chung is often cited by papers focused on Genomics and Chromatin Dynamics (33 papers), RNA Research and Splicing (13 papers) and RNA and protein synthesis mechanisms (11 papers). Ho‐Ryun Chung collaborates with scholars based in Germany, United States and China. Ho‐Ryun Chung's co-authors include Martin Vingron, Julia Lasserre, Rosa Karlić, Kristian Vlahoviček, Herbert Jäckle, Ulrike Löhr, Michael I. Love, Ulrich Schäfer, Mathias Beller and Ilona Dunkel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Ho‐Ryun Chung

49 papers receiving 1.9k citations

Hit Papers

Histone modification levels are predictive for gene expre... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Ho‐Ryun Chung
Rebecca Worsley-Hunt United Kingdom
Hua-Ying Fan United States
Glenn K. Fu United States
Paul A. Ginno United States
C. Chen United States
Rebecca Worsley-Hunt United Kingdom
Ho‐Ryun Chung
Citations per year, relative to Ho‐Ryun Chung Ho‐Ryun Chung (= 1×) peers Rebecca Worsley-Hunt

Countries citing papers authored by Ho‐Ryun Chung

Since Specialization
Citations

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

Fields of papers citing papers by Ho‐Ryun Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ho‐Ryun Chung

This figure shows the co-authorship network connecting the top 25 collaborators of Ho‐Ryun Chung. A scholar is included among the top collaborators of Ho‐Ryun Chung 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 Ho‐Ryun Chung. Ho‐Ryun Chung 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.
Awe, Stephan, Andrea Nist, Thorsten Stiewe, et al.. (2024). Haptoglobin buffers lipopolysaccharides to delay activation of NFκB. Frontiers in Immunology. 15. 1401527–1401527. 2 indexed citations
2.
Gao, Yutong, Kai Zhao, Pietro Di Fazio, et al.. (2024). The long non-coding RNA NEAT1 contributes to aberrant STAT3 signaling in pancreatic cancer and is regulated by a metalloprotease-disintegrin ADAM8/miR-181a-5p axis. Cellular Oncology. 48(2). 391–409. 3 indexed citations
3.
Brichkina, Anna, Rajeev Singh, Veronika Lutz, et al.. (2024). DYRK1B blockade promotes tumoricidal macrophage activity in pancreatic cancer. Gut. 73(10). 1684–1701. 8 indexed citations
4.
Thölken, Clemens, et al.. (2024). Pi-seq—A customizable multichannel syringe pump for microfluidics. HardwareX. 18. e00517–e00517. 1 indexed citations
5.
Lutz, Veronika, Felix S.R. Picard, Hartmann Raifer, et al.. (2023). IL18 Receptor Signaling Regulates Tumor-Reactive CD8+ T-cell Exhaustion via Activation of the IL2/STAT5/mTOR Pathway in a Pancreatic Cancer Model. Cancer Immunology Research. 11(4). 421–434. 39 indexed citations
6.
Skevaki, Chrysanthi, R. Sharon Chinthrajah, Daria Fomina, et al.. (2022). Comorbidity defines asthmatic patients' risk of COVID-19 hospitalization: A global perspective. Journal of Allergy and Clinical Immunology. 151(1). 110–117. 5 indexed citations
7.
Schöne, Stefanie, Stefan Preković, Isabel Mayayo‐Peralta, et al.. (2021). Androgen and glucocorticoid receptor direct distinct transcriptional programs by receptor-specific and shared DNA binding sites. Nucleic Acids Research. 49(7). 3856–3875. 18 indexed citations
8.
Bömmel, Alena van, et al.. (2021). Assessing genome-wide dynamic changes in enhancer activity during early mESC differentiation by FAIRE-STARR-seq. Nucleic Acids Research. 49(21). 12178–12195. 9 indexed citations
9.
Chung, Ho‐Ryun, Chao Xu, Andreas Mund, et al.. (2016). PHF13 is a molecular reader and transcriptional co-regulator of H3K4me2/3. eLife. 5. 24 indexed citations
10.
Reiter, Christian, et al.. (2015). A link between Sas2-mediated H4 K16 acetylation, chromatin assembly in S-phase by CAF-I and Asf1, and nucleosome assembly by Spt6 during transcription. FEMS Yeast Research. 15(7). fov073–fov073. 9 indexed citations
11.
Ibn-Salem, Jonas, Marcel Jurk, Céline Hernandez, et al.. (2015). ChIP-exo signal associated with DNA-binding motifs provides insight into the genomic binding of the glucocorticoid receptor and cooperating transcription factors. Genome Research. 25(6). 825–835. 93 indexed citations
12.
Ramírez, Fidel, Sarah Toscano, Kin Chung Lam, et al.. (2015). High-Affinity Sites Form an Interaction Network to Facilitate Spreading of the MSL Complex across the X Chromosome in Drosophila. Molecular Cell. 60(1). 146–162. 58 indexed citations
13.
Perner, Juliane, Julia Lasserre, Sarah Kinkley, Martin Vingron, & Ho‐Ryun Chung. (2014). Inference of interactions between chromatin modifiers and histone modifications: from ChIP-Seq data to chromatin-signaling. Nucleic Acids Research. 42(22). 13689–13695. 14 indexed citations
14.
Lasserre, Julia, Ho‐Ryun Chung, & Martin Vingron. (2013). Finding Associations among Histone Modifications Using Sparse Partial Correlation Networks. PLoS Computational Biology. 9(9). e1003168–e1003168. 23 indexed citations
15.
Karlić, Rosa, Ho‐Ryun Chung, Julia Lasserre, Kristian Vlahoviček, & Martin Vingron. (2010). Histone modification levels are predictive for gene expression. Proceedings of the National Academy of Sciences. 107(7). 2926–2931. 532 indexed citations breakdown →
16.
Staudt, Nicole, Sonja Fellert, Ho‐Ryun Chung, Herbert Jäckle, & Gerd Vorbrüggen. (2006). Mutations of theDrosophilaZinc Finger-encoding GenevielfältigImpair Mitotic Cell Divisions and Cause Improper Chromosome Segregation. Molecular Biology of the Cell. 17(5). 2356–2365. 52 indexed citations
17.
Staudt, Nicole, Kálmán Somogyi, Juan Mata, et al.. (2005). Gain-of-Function Screen for Genes That Affect Drosophila Muscle Pattern Formation. PLoS Genetics. 1(4). e55–e55. 42 indexed citations
18.
Dowe, Gordon, et al.. (2004). Systematic gene targeting on the X chromosome of Drosophila melanogaster. Chromosoma. 113(6). 271–275. 20 indexed citations
19.
Chung, Ho‐Ryun, et al.. (2004). Genome-wide Mapping of in Vivo Targets of the Drosophila Transcription Factor Krüppel. Journal of Biological Chemistry. 279(29). 30689–30696. 10 indexed citations
20.
Jauch, Ralf, Gleb Bourenkov, Ho‐Ryun Chung, et al.. (2003). The Zinc Finger-Associated Domain of the Drosophila Transcription Factor Grauzone Is a Novel Zinc-Coordinating Protein-Protein Interaction Module. Structure. 11(11). 1393–1402. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026