Douglas J. Chapski

55 total papers · 1.2k total citations
23 papers, 843 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 843 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 Research and Splicing (6 papers), RNA modifications and cancer (6 papers) and Genomics and Chromatin Dynamics (6 papers). Douglas J. Chapski is often cited by papers focused on RNA Research and Splicing (6 papers), RNA modifications and cancer (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, Andrey A. Parkhitko, Elizabeth P. Henske, Jamie M. Dempsey, Marcia C. Haigis, Chenggang Li, Tasha Morrison, Sarah‐Maria Fendt 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 839 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Douglas J. Chapski 585 227 139 131 95 23 843
Mark V. Stevens 571 1.0× 103 0.5× 190 1.4× 40 0.3× 85 0.9× 17 865
Don Wolfgeher 463 0.8× 88 0.4× 132 0.9× 142 1.1× 140 1.5× 13 894
Brendan Gongol 600 1.0× 140 0.6× 148 1.1× 34 0.3× 87 0.9× 23 936
Arianna Marino 374 0.6× 265 1.2× 216 1.6× 50 0.4× 54 0.6× 16 855
Caroline Perry 522 0.9× 160 0.7× 116 0.8× 67 0.5× 27 0.3× 25 1.0k
Traci Marin 579 1.0× 130 0.6× 147 1.1× 34 0.3× 86 0.9× 19 898
Li Dong 402 0.7× 242 1.1× 309 2.2× 63 0.5× 30 0.3× 24 847
Ian M. Williams 427 0.7× 100 0.4× 136 1.0× 83 0.6× 163 1.7× 24 822
Michael S. Goligorsky 355 0.6× 99 0.4× 126 0.9× 81 0.6× 84 0.9× 16 734
Xiaokan Zhang 731 1.2× 224 1.0× 68 0.5× 39 0.3× 178 1.9× 22 956

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

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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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