Mark A. DeWitt
Impact in
- Molecular Biology top 2%
- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Receptor Mechanisms and Signaling
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Virus-based gene therapy research
Papers in
- Genetics 6
- Hemoglobinopathies and Related Disorders 6
- Virus-based gene therapy research 1
-
- Microtubule and mitosis dynamics 6
- Co-authors
- Jacob E. Corn (9 shared papers)Chris D. Richardson (1 shared paper)Gemma L. Curie (1 shared paper)Ahmet Yıldız (7 shared papers)Dana Carroll (2 shared papers)David Farrens (3 shared papers)Peter A. Combs (1 shared paper)Mark C. Walters (4 shared papers)
- Journals
- eLife (3 papers)Journal of Molecular Biology (2 papers)Cell Reports (2 papers)Science Translational Medicine (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesJapanSwitzerland
In The Last Decade
Mark A. DeWitt
23 papers receiving 3k citations
Mark A. DeWitt's Hit Papers
Peers
Comparison fields: 5 of 93
- Molecular Biology 2.2k
- Genetics 235
- Cell Biology 306
- Genetics 332
- Biomaterials 72
Countries citing papers authored by Mark A. DeWitt
This map shows the geographic impact of Mark A. DeWitt'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 Mark A. DeWitt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark A. DeWitt more than expected).
Fields of papers citing papers by Mark A. DeWitt
This network shows the impact of papers produced by Mark A. DeWitt. 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 Mark A. DeWitt. The network helps show where Mark A. DeWitt may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark A. DeWitt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhancing homology-directed genome editing by catalytically active and inactive CRISPR-Cas9 using asymmetric donor DNA Hit paper breakdown → | 2016 | 860 |
| 2 | Nanoparticle delivery of Cas9 ribonucleoprotein and donor DNA in vivo induces homology-directed DNA repair Hit paper breakdown → | 2017 | 659 |
| 3 | 2016 | 386 | |
| 4 | 2011 | 149 | |
| 5 | 2017 | 131 | |
| 6 | 2017 | 122 | |
| 7 | 2010 | 82 | |
| 8 | 2010 | 80 | |
| 9 | 2018 | 78 | |
| 10 | 2014 | 70 | |
| 11 | 2014 | 66 | |
| 12 | 2020 | 64 | |
| 13 | 2014 | 54 | |
| 14 | 2022 | 47 | |
| 15 | 2017 | 45 | |
| 16 | 2022 | 36 | |
| 17 | 2020 | 31 | |
| 18 | 2006 | 28 | |
| 19 | 2019 | 23 | |
| 20 | 2018 | 21 |
About Mark A. DeWitt
Mark A. DeWitt is a scholar working on Genetics, Cell Biology, Molecular Biology, Biophysics and Genetics, having authored 23 papers that have together received 3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Microtubule and mitosis dynamics (6 papers), Hemoglobinopathies and Related Disorders (6 papers), Protein Structure and Dynamics (2 papers), Receptor Mechanisms and Signaling (1 paper), RNA Interference and Gene Delivery (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Molecular Biology (2.2k citations), Genetics (235 citations), Cell Biology (306 citations), Genetics (332 citations) and Biomaterials (72 citations). Mark A. DeWitt has collaborated with scholars based in United States, Japan and Switzerland. Frequent co-authors include Jacob E. Corn, Chris D. Richardson, Gemma L. Curie, Ahmet Yıldız, Dana Carroll, David Farrens, Peter A. Combs, Mark C. Walters, Donald B. Kohn and Nicolas Bray. Their work appears in journals such as eLife, Journal of Molecular Biology, Cell Reports, Science Translational Medicine and Nature Structural & Molecular Biology.
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.