David E. Paschon
Impact in
- Aging top 2%
Papers in
-
- CRISPR and Genetic Engineering 19
- RNA Interference and Gene Delivery 6
- Pluripotent Stem Cells Research 4
- Advanced biosensing and bioanalysis techniques 3
- Genetics 12
- Virus-based gene therapy research 10
- Co-authors
- Philip D. Gregory (16 shared papers)Michael C. Holmes (17 shared papers)Edward J. Rebar (17 shared papers)Jeffrey C. Miller (9 shared papers)Fyodor D. Urnov (6 shared papers)Jianbin Wang (3 shared papers)Sarah J. Hinkley (5 shared papers)Irina Ankoudinova (2 shared papers)
- Journals
- Blood (7 papers)Molecular Therapy (3 papers)Nature (2 papers)Nature Biotechnology (2 papers)Stem Cell Reports (2 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
David E. Paschon
26 papers receiving 3.7k citations
David E. Paschon's Hit Papers
Peers
Comparison fields: 5 of 108
- Business and International Management 196
- Aging 134
- Molecular Biology 3.3k
- Genetics 1.2k
- Cell Biology 227
Countries citing papers authored by David E. Paschon
This map shows the geographic impact of David E. Paschon'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 David E. Paschon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Paschon more than expected).
Fields of papers citing papers by David E. Paschon
This network shows the impact of papers produced by David E. Paschon. 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 David E. Paschon. The network helps show where David E. Paschon may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Paschon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A TALE nuclease architecture for efficient genome editing Hit paper breakdown → | 2010 | 1580 |
| 2 | Targeted gene correction of α1-antitrypsin deficiency in induced pluripotent stem cells Hit paper breakdown → | 2011 | 472 |
| 3 | 2011 | 411 | |
| 4 | 2015 | 235 | |
| 5 | 2013 | 216 | |
| 6 | 2011 | 186 | |
| 7 | 2015 | 153 | |
| 8 | 2011 | 114 | |
| 9 | 2019 | 85 | |
| 10 | 2016 | 84 | |
| 11 | 2019 | 69 | |
| 12 | 2010 | 56 | |
| 13 | 2019 | 40 | |
| 14 | 2016 | 36 | |
| 15 | 2019 | 21 | |
| 16 | 2005 | 20 | |
| 17 | 2018 | 10 | |
| 18 | 2004 | 7 | |
| 19 | 2015 | 3 | |
| 20 | 2012 | 2 |
About David E. Paschon
David E. Paschon is a scholar working on Molecular Biology, Genetics, Oncology, Cellular and Molecular Neuroscience and Immunology, having authored 27 papers that have together received 3.8k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (19 papers), Virus-based gene therapy research (10 papers), RNA Interference and Gene Delivery (6 papers), CAR-T cell therapy research (5 papers), Pluripotent Stem Cells Research (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Plant Virus Research Studies (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Business and International Management (196 citations), Aging (134 citations), Molecular Biology (3.3k citations), Genetics (1.2k citations) and Cell Biology (227 citations). David E. Paschon has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Philip D. Gregory, Michael C. Holmes, Edward J. Rebar, Jeffrey C. Miller, Fyodor D. Urnov, Jianbin Wang, Sarah J. Hinkley, Irina Ankoudinova, Danny F. Xia and Xiangdong Meng. Their work appears in journals such as Blood, Molecular Therapy, Nature, Nature Biotechnology and Stem Cell Reports.
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.