Mark A. DeWitt
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 3
- Protist diversity and phylogeny 3
- Photosynthetic Processes and Mechanisms 2
-
- Microtubule and mitosis dynamics 6
- Co-authors
- Jacob E. Corn (10 shared papers)Graham J. Ray (1 shared paper)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)Amy Chang (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Cell Reports (2 papers)eLife (2 papers)Biochemistry (1 paper)iScience (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Mark A. DeWitt
22 papers receiving 2.2k citations
Mark A. DeWitt's Hit Papers
Peers
Comparison fields: 5 of 89
- Aging 136
- Business and International Management 148
- Molecular Biology 1.9k
- Cell Biology 324
- Genetics 456
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 22 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 | 804 |
| 2 | Selection-free genome editing of the sickle mutation in human adult hematopoietic stem/progenitor cells Hit paper breakdown → | 2016 | 355 |
| 3 | 2011 | 149 | |
| 4 | 2017 | 127 | |
| 5 | 2017 | 117 | |
| 6 | 2010 | 82 | |
| 7 | 2010 | 81 | |
| 8 | 2018 | 69 | |
| 9 | 2014 | 68 | |
| 10 | 2014 | 63 | |
| 11 | 2020 | 59 | |
| 12 | 2014 | 54 | |
| 13 | 2017 | 44 | |
| 14 | 2022 | 32 | |
| 15 | 2006 | 28 | |
| 16 | 2020 | 26 | |
| 17 | 2019 | 22 | |
| 18 | 2018 | 22 | |
| 19 | 2020 | 9 | |
| 20 | 2014 | 2 |
About Mark A. DeWitt
Mark A. DeWitt is a scholar working on Molecular Biology, Cell Biology, Genetics, Condensed Matter Physics and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 2.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), Microtubule and mitosis dynamics (6 papers), Hemoglobinopathies and Related Disorders (4 papers), RNA and protein synthesis mechanisms (3 papers), Protist diversity and phylogeny (3 papers), Photosynthetic Processes and Mechanisms (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Aging (136 citations), Business and International Management (148 citations), Molecular Biology (1.9k citations), Cell Biology (324 citations) and Genetics (456 citations). Mark A. DeWitt has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include Jacob E. Corn, Graham J. Ray, Chris D. Richardson, Gemma L. Curie, Ahmet Yıldız, Dana Carroll, David Farrens, Amy Chang, Peter A. Combs and Mark C. Walters. Their work appears in journals such as Journal of Molecular Biology, Cell Reports, eLife, Biochemistry and iScience.
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.