Mark Moosburner
Impact in
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- Innovation and Socioeconomic Development
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 3
- RNA and protein synthesis mechanisms 3
- Photosynthetic Processes and Mechanisms 2
- Protist diversity and phylogeny 1
- Ecology 3
- Microbial Community Ecology and Physiology 2
- Co-authors
- George M. Church (4 shared papers)Prashant Mali (3 shared papers)Kevin M. Esvelt (2 shared papers)Sriram Kosuri (1 shared paper)Luhan Yang (1 shared paper)John Aach (1 shared paper)P. Benjamin Stranges (1 shared paper)Stephanie J. Yaung (1 shared paper)
- Journals
- New Phytologist (2 papers)Nature Methods (2 papers)Frontiers in Microbiology (1 paper)Nature Biotechnology (1 paper)Science (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Mark Moosburner
9 papers receiving 2.7k citations
Mark Moosburner's Hit Papers
Peers
Comparison fields: 5 of 103
- Business and International Management 257
- Aging 215
- Molecular Biology 2.6k
- Genetics 540
- Insect Science 179
Countries citing papers authored by Mark Moosburner
This map shows the geographic impact of Mark Moosburner'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 Moosburner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Moosburner more than expected).
Fields of papers citing papers by Mark Moosburner
This network shows the impact of papers produced by Mark Moosburner. 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 Moosburner. The network helps show where Mark Moosburner may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Moosburner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | CAS9 transcriptional activators for target specificity screening and paired nickases for cooperative genome engineering Hit paper breakdown → | 2013 | 1387 |
| 2 | Orthogonal Cas9 proteins for RNA-guided gene regulation and editing Hit paper breakdown → | 2013 | 653 |
| 3 | 2015 | 303 | |
| 4 | 2016 | 213 | |
| 5 | 2019 | 46 | |
| 6 | 2020 | 39 | |
| 7 | 2020 | 32 | |
| 8 | 2021 | 30 | |
| 9 | 2022 | 21 |
About Mark Moosburner
Mark Moosburner is a scholar working on Molecular Biology, Ecology, Oceanography, Renewable Energy, Sustainability and the Environment and Biomaterials, having authored 9 papers that have together received 2.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), RNA and protein synthesis mechanisms (3 papers), Algal biology and biofuel production (2 papers), Microbial Community Ecology and Physiology (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Protist diversity and phylogeny (1 paper) and Marine and coastal ecosystems (1 paper). The work is most often cited by research in Business and International Management (257 citations), Aging (215 citations), Molecular Biology (2.6k citations), Genetics (540 citations) and Insect Science (179 citations). Mark Moosburner has collaborated with scholars based in United States, France and Germany. Frequent co-authors include George M. Church, Prashant Mali, Kevin M. Esvelt, Sriram Kosuri, Luhan Yang, John Aach, P. Benjamin Stranges, Stephanie J. Yaung, Raj Chari and Andrew E. Allen. Their work appears in journals such as New Phytologist, Nature Methods, Frontiers in Microbiology, Nature Biotechnology and Science.
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.