Andrew T. Nelson
- Molecular Biology top 10%
- Genetics top 10%
- Physiology
- Plant Science
- Biochemistry top 5%
- Co-authors
- Andrew V. AnzaloneJonathan M. LevyDionicio SiegelJaron A. M. MercerLuke W. KoblanXin D. GaoAditya RaguramDavid Liu
- Topics
- CRISPR and Genetic Engineering (5 papers)Lipid metabolism and biosynthesis (3 papers)Adipose Tissue and Metabolism (3 papers)
- Partner nations
- United StatesSwedenAustria
In The Last Decade
Andrew T. Nelson
21 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Molecular Biology 866
- Genetics 223
- Physiology 117
- Plant Science 116
- Biochemistry 94
Countries citing papers authored by Andrew T. Nelson
This map shows the geographic impact of Andrew T. Nelson'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 Andrew T. Nelson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew T. Nelson more than expected).
Fields of papers citing papers by Andrew T. Nelson
This network shows the impact of papers produced by Andrew T. Nelson. 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 Andrew T. Nelson. The network helps show where Andrew T. Nelson may publish in the future.
Co-authorship network of co-authors of Andrew T. Nelson
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew T. Nelson. A scholar is included among the top collaborators of Andrew T. Nelson 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 Andrew T. Nelson. Andrew T. Nelson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 35 | |
| 5 | 0 | |
| 6 | Efficient prime editing in mouse brain, liver and heart with dual AAVsbreakdown → | 114 |
| 7 | Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in micebreakdown → | 85 |
| 8 | 88 | |
| 9 | 2 | |
| 10 | 51 | |
| 11 | Programmable deletion, replacement, integration and inversion of large DNA sequences with twin prime editingbreakdown → | 376 |
| 12 | 26 | |
| 13 | 75 | |
| 14 | 9 | |
| 15 | 45 | |
| 16 | 24 | |
| 17 | 33 | |
| 18 | 29 | |
| 19 | 11 | |
| 20 | 1 |
About Andrew T. Nelson
Andrew T. Nelson is a scholar working on Biochemistry, Biological Psychiatry and Molecular Biology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Lipid metabolism and biosynthesis (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Business and International Management (50 citations), Biochemistry (94 citations) and Molecular Biology (866 citations). Andrew T. Nelson has collaborated with scholars based in United States, Sweden and Austria. Frequent co-authors include Andrew V. Anzalone, Jonathan M. Levy, Dionicio Siegel, Jaron A. M. Mercer, Luke W. Koblan, Xin D. Gao, Aditya Raguram, David Liu, Barbara B. Kahn and Alan Saghatelian. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.