Mark A. DeWitt

4.0k total citations · 2 hit papers
22 papers, 2.1k citations indexed

About

Mark A. DeWitt is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Mark A. DeWitt has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Genetics. Recurrent topics in Mark A. DeWitt's work include CRISPR and Genetic Engineering (10 papers), Microtubule and mitosis dynamics (6 papers) and Hemoglobinopathies and Related Disorders (4 papers). Mark A. DeWitt is often cited by papers focused on CRISPR and Genetic Engineering (10 papers), Microtubule and mitosis dynamics (6 papers) and Hemoglobinopathies and Related Disorders (4 papers). Mark A. DeWitt collaborates with scholars based in United States, Switzerland and Japan. Mark A. DeWitt's co-authors include Jacob E. Corn, Gemma L. Curie, Graham J. Ray, Chris D. Richardson, Ahmet Yıldız, Dana Carroll, David Farrens, Amy Chang, Peter A. Combs and Mark C. Walters and has published in prestigious journals such as Science, Nature Communications and ACS Nano.

In The Last Decade

Mark A. DeWitt

22 papers receiving 2.1k citations

Hit Papers

Enhancing homology-directed genome editing by catalytical... 2016 2026 2019 2022 2016 2016 250 500 750

Peers

Mark A. DeWitt
Comparison fields: 5 of 88
  • Molecular Biology 1.9k
  • Genetics 451
  • Cell Biology 308
  • Genetics 151
  • Business and International Management 144
Replace Kyle A. Barlow with:
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Joao Matos Switzerland
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Pablo Huertas Spain
Keith T. Gagnon United States
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Kyle A. Barlow United States View profile →
Citations per field, relative to Mark A. DeWitt
Mark A. DeWitt · 1×
Citations per year, relative to Mark A. DeWitt
Mark A. DeWitt · 1×

Countries citing papers authored by Mark A. DeWitt

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark A. DeWitt

This figure shows the co-authorship network connecting the top 25 collaborators of Mark A. DeWitt. A scholar is included among the top collaborators of Mark A. DeWitt 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 Mark A. DeWitt. Mark A. DeWitt 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
# Work Indexed citations
1 29
2 1
3 57
4 22
5 9
6 21
7 68
8 115
9 118
10 39
11
Enhancing homology-directed genome editing by catalytically active and inactive CRISPR-Cas9 using asymmetric donor DNA breakdown →
775
12
Selection-free genome editing of the sickle mutation in human adult hematopoietic stem/progenitor cells breakdown →
342
13 2
14 60
15 2
16 63
17 50
18 143
19 80
20 28

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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