Mark J. Osborn
- Molecular Biology top 2%
- Genetics top 2%
- Cell Biology top 2%
- Oncology top 5%
- Ecology top 5%
- Co-authors
- Jakub TolarBruce R. BlazarDavid R. LiuGregory A. NewbyJohn E. WagnerMegan RiddleAmber McElroyRon McElmurry
- Topics
- CRISPR and Genetic Engineering (26 papers)Virus-based gene therapy research (16 papers)Skin and Cellular Biology Research (13 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Mark J. Osborn
71 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.6k
- Genetics 921
- Cell Biology 640
- Oncology 593
- Ecology 405
Countries citing papers authored by Mark J. Osborn
This map shows the geographic impact of Mark J. Osborn'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 J. Osborn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark J. Osborn more than expected).
Fields of papers citing papers by Mark J. Osborn
This network shows the impact of papers produced by Mark J. Osborn. 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 J. Osborn. The network helps show where Mark J. Osborn may publish in the future.
Co-authorship network of co-authors of Mark J. Osborn
This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Osborn. A scholar is included among the top collaborators of Mark J. Osborn 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 J. Osborn. Mark J. Osborn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Efficient site-specific integration of large genes in mammalian cells via continuously evolved recombinases and prime editingbreakdown → | 70 |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Engineered virus-like particles for efficient in vivo delivery of therapeutic proteinsbreakdown → | 397 |
| 6 | 4 | |
| 7 | Evolution of an adenine base editor into a small, efficient cytosine base editor with low off-target activitybreakdown → | 156 |
| 8 | Enhanced prime editing systems by manipulating cellular determinants of editing outcomesbreakdown → | 488 |
| 9 | 75 | |
| 10 | 38 | |
| 11 | 25 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 29 | |
| 16 | 55 | |
| 17 | 91 | |
| 18 | 118 | |
| 19 | 125 | |
| 20 | 39 |
About Mark J. Osborn
Mark J. Osborn is a scholar working on Business and International Management, Immunology and Allergy and Cell Biology, having authored 72 papers that have together received 4.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (26 papers), Virus-based gene therapy research (16 papers) and Skin and Cellular Biology Research (13 papers). The work is most often cited by research in Business and International Management (144 citations), Aging (84 citations) and Cell Biology (640 citations). Mark J. Osborn has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Jakub Tolar, Bruce R. Blazar, David R. Liu, Gregory A. Newby, John E. Wagner, Megan Riddle, Amber McElroy, Ron McElmurry, Lily Xia and Beau R. Webber. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.