Douglas J. Chapski

1.2k total citations
23 papers, 851 citations indexed

About

Douglas J. Chapski is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Douglas J. Chapski has authored 23 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Douglas J. Chapski's work include RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers) and Genomics and Chromatin Dynamics (6 papers). Douglas J. Chapski is often cited by papers focused on RNA modifications and cancer (6 papers), RNA Research and Splicing (6 papers) and Genomics and Chromatin Dynamics (6 papers). Douglas J. Chapski collaborates with scholars based in United States, Japan and Bulgaria. Douglas J. Chapski's co-authors include Thomas M. Vondriska, Manuel Rosa‐Garrido, Andrew Y. Choo, Elizabeth P. Henske, John Blenis, George Poulogiannis, Lewis C. Cantley, Jane Yu, Andrey A. Parkhitko and Seung Min Jeong and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Circulation.

In The Last Decade

Douglas J. Chapski

20 papers receiving 847 citations

Peers

Douglas J. Chapski
Eoin McDonnell United States
Lora W. Forman United States
Meixia Bi United States
Jamie M. Dempsey United States
Douglas J. Chapski
Citations per year, relative to Douglas J. Chapski Douglas J. Chapski (= 1×) peers Shilong You

Countries citing papers authored by Douglas J. Chapski

Since Specialization
Citations

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

Fields of papers citing papers by Douglas J. Chapski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Douglas J. Chapski. 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 Douglas J. Chapski. The network helps show where Douglas J. Chapski may publish in the future.

Co-authorship network of co-authors of Douglas J. Chapski

This figure shows the co-authorship network connecting the top 25 collaborators of Douglas J. Chapski. A scholar is included among the top collaborators of Douglas J. Chapski 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 Douglas J. Chapski. Douglas J. Chapski 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.
Zhang, Jiandong, Manuel Rosa‐Garrido, Douglas J. Chapski, et al.. (2025). Novel insights into post-myocardial infarction cardiac remodeling through algorithmic detection of cell-type composition shifts. PLoS Genetics. 21(7). e1011807–e1011807.
2.
Arrieta, Adrian, Douglas J. Chapski, Todd Kimball, et al.. (2024). Circadian control of histone turnover during cardiac development and growth. Journal of Biological Chemistry. 300(7). 107434–107434. 2 indexed citations
3.
Lazaropoulos, Michael P., Andrew Gibb, Douglas J. Chapski, et al.. (2024). Nuclear ATP-citrate lyase regulates chromatin-dependent activation and maintenance of the myofibroblast gene program. Nature Cardiovascular Research. 3(7). 869–882. 11 indexed citations
4.
Arrieta, Adrian, Marina Angelini, Elizabeth Soehalim, et al.. (2024). Decreased Left Atrial Cardiomyocyte Fibroblast Growth Factor 13 Expression Increases Vulnerability to Postoperative Atrial Fibrillation in Humans. Journal of the American Heart Association. 13(12). e034896–e034896. 2 indexed citations
5.
Chapski, Douglas J., Todd Kimball, Amy C. Rowat, et al.. (2024). Histone H1.0 couples cellular mechanical behaviors to chromatin structure. Nature Cardiovascular Research. 3(4). 441–459. 9 indexed citations
6.
Chen, Junjie, Douglas J. Chapski, Yijie Wang, et al.. (2023). Integrative transcriptomics and cell systems analyses reveal protective pathways controlled by Igfbp‐3 in anthracycline‐induced cardiotoxicity. The FASEB Journal. 37(6). e22977–e22977. 4 indexed citations
7.
Arrieta, Adrian, et al.. (2023). Abstract P1133: Bmal1 Drives Postnatal Cardiac Hypertrophy Via Circadian Chromatin Remodeling Of The Pro-hypertrophic Gene Sik1. Circulation Research. 133(Suppl_1). 1 indexed citations
8.
Chapski, Douglas J. & Thomas M. Vondriska. (2023). Unwind to the beat: chromatin and cardiac conduction. Journal of Clinical Investigation. 133(3).
9.
Chen, Junjie, et al.. (2022). genomeSidekick: A user-friendly epigenomics data analysis tool. SHILAP Revista de lepidopterología. 2. 831025–831025.
10.
Chapski, Douglas J., Elizabeth Soehalim, Dennis Montoya, et al.. (2022). Longitudinal profiling in patients undergoing cardiac surgery reveals postoperative changes in DNA methylation. Clinical Epigenetics. 14(1). 195–195. 4 indexed citations
11.
Mahajan, Aman, Todd Kimball, Marco Morselli, et al.. (2022). DNA Methylation-Based Prediction of Post-operative Atrial Fibrillation. Frontiers in Cardiovascular Medicine. 9. 837725–837725. 10 indexed citations
12.
Chapski, Douglas J. & Thomas M. Vondriska. (2021). Taking Data Science to Heart: Next Scale of Gene Regulation. Current Cardiology Reports. 23(5). 46–46. 1 indexed citations
13.
Chapski, Douglas J., Marco Morselli, Elizabeth Soehalim, et al.. (2021). Early adaptive chromatin remodeling events precede pathologic phenotypes and are reinforced in the failing heart. Journal of Molecular and Cellular Cardiology. 160. 73–86. 22 indexed citations
14.
Pezhouman, Arash, Ngoc B. Nguyen, Alexander J. Sercel, et al.. (2021). Transcriptional, Electrophysiological, and Metabolic Characterizations of hESC-Derived First and Second Heart Fields Demonstrate a Potential Role of TBX5 in Cardiomyocyte Maturation. Frontiers in Cell and Developmental Biology. 9. 787684–787684. 8 indexed citations
15.
Chapski, Douglas J., Manuel Rosa‐Garrido, Nan Hua, Frank Alber, & Thomas M. Vondriska. (2019). Spatial Principles of Chromatin Architecture Associated With Organ-Specific Gene Regulation. Frontiers in Cardiovascular Medicine. 5. 186–186. 13 indexed citations
16.
Karbassi, Elaheh, Manuel Rosa‐Garrido, Douglas J. Chapski, et al.. (2019). Direct visualization of cardiac transcription factories reveals regulatory principles of nuclear architecture during pathological remodeling. Journal of Molecular and Cellular Cardiology. 128. 198–211. 11 indexed citations
17.
Rosa‐Garrido, Manuel, Douglas J. Chapski, & Thomas M. Vondriska. (2018). Epigenomes in Cardiovascular Disease. Circulation Research. 122(11). 1586–1607. 53 indexed citations
18.
Karbassi, Elaheh, Emma Monte, Douglas J. Chapski, et al.. (2016). Relationship of disease-associated gene expression to cardiac phenotype is buffered by genetic diversity and chromatin regulation. Physiological Genomics. 48(8). 601–615. 3 indexed citations
19.
Gao, Chen, Shuxun Ren, Jae‐Hyung Lee, et al.. (2015). RBFox1-mediated RNA splicing regulates cardiac hypertrophy and heart failure. Journal of Clinical Investigation. 126(1). 195–206. 114 indexed citations
20.
Fendt, Sarah‐Maria, Chenggang Li, George Poulogiannis, et al.. (2013). The mTORC1 Pathway Stimulates Glutamine Metabolism and Cell Proliferation by Repressing SIRT4. Cell. 153(4). 840–854. 466 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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