M A Bartel
Impact in
- Genetics top 10%
- Virus-based gene therapy research
-
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
- Viral Infectious Diseases and Gene Expression in Insects
- Advanced biosensing and bioanalysis techniques
Papers in
-
- RNA Interference and Gene Delivery 4
- CRISPR and Genetic Engineering 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- David V. Schaffer (4 shared papers)Nisha Shukla (4 shared papers)Andrew J. Gellman (4 shared papers)John R. Weinstein (1 shared paper)Tandis Vazin (2 shared papers)Prashanth Asuri (2 shared papers)Jae‐Hyung Jang (2 shared papers)Jung‐Suk Kim (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Frontiers in Microbiology (1 paper)Journal of the American Chemical Society (1 paper)Gene Therapy (1 paper)Catalysis Letters (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
M A Bartel
9 papers receiving 547 citations
Peers
Comparison fields: 5 of 69
- Genetics 283
- Molecular Biology 345
- Electronic, Optical and Magnetic Materials 69
- Business and International Management 7
- Biomaterials 40
Countries citing papers authored by M A Bartel
This map shows the geographic impact of M A Bartel'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 M A Bartel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M A Bartel more than expected).
Fields of papers citing papers by M A Bartel
This network shows the impact of papers produced by M A Bartel. 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 M A Bartel. The network helps show where M A Bartel may publish in the future.
Co-authors
The 13 scholars most cited alongside M A Bartel, 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 | 2010 | 146 | |
| 2 | 2012 | 134 | |
| 3 | 2011 | 91 | |
| 4 | 2011 | 84 | |
| 5 | 2011 | 81 | |
| 6 | 2009 | 12 | |
| 7 | 2010 | 3 | |
| 8 | 2011 | 1 | |
| 9 | 2014 | 1 |
About M A Bartel
M A Bartel is a scholar working on Molecular Biology, Genetics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 9 papers that have together received 553 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), CRISPR and Genetic Engineering (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Iron oxide chemistry and applications (2 papers), Advanced Electron Microscopy Techniques and Applications (1 paper), Force Microscopy Techniques and Applications (1 paper) and Electron and X-Ray Spectroscopy Techniques (1 paper). The work is most often cited by research in Genetics (283 citations), Molecular Biology (345 citations), Electronic, Optical and Magnetic Materials (69 citations), Business and International Management (7 citations) and Biomaterials (40 citations). M A Bartel has collaborated with scholars based in United States and South Korea. Frequent co-authors include David V. Schaffer, Nisha Shukla, Andrew J. Gellman, John R. Weinstein, Tandis Vazin, Prashanth Asuri, Jae‐Hyung Jang, Jung‐Suk Kim, Albert J. Keung and Inchan Kwon. Their work appears in journals such as Molecular Therapy, Frontiers in Microbiology, Journal of the American Chemical Society, Gene Therapy and Catalysis Letters.
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.