Thomas Gaj
Impact in
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- Innovation and Socioeconomic Development
- Aging top 1%
Papers in
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- CRISPR and Genetic Engineering 40
- RNA Interference and Gene Delivery 11
- Advanced biosensing and bioanalysis techniques 9
- Pluripotent Stem Cells Research 7
- Genetics 18
- Virus-based gene therapy research 10
- Animal Genetics and Reproduction 5
- Co-authors
- Carlos F. Barbas (23 shared papers)Charles A. Gersbach (5 shared papers)David V. Schaffer (10 shared papers)Shannon J. Sirk (9 shared papers)Jia Liu (5 shared papers)Jing Guo (2 shared papers)David S. Ojala (3 shared papers)Andrew C. Mercer (7 shared papers)
- Journals
- Nucleic Acids Research (6 papers)Molecular Therapy (4 papers)PLoS ONE (3 papers)Nature Communications (3 papers)Science Advances (2 papers)
- Partner nations
- United StatesChinaPortugal
In The Last Decade
Thomas Gaj
48 papers receiving 6.3k citations
Thomas Gaj's Hit Papers
Peers
Comparison fields: 5 of 134
- Business and International Management 362
- Aging 256
- Molecular Biology 5.0k
- Genetics 1.6k
- Cellular and Molecular Neuroscience 742
Countries citing papers authored by Thomas Gaj
This map shows the geographic impact of Thomas Gaj'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 Thomas Gaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gaj more than expected).
Fields of papers citing papers by Thomas Gaj
This network shows the impact of papers produced by Thomas Gaj. 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 Thomas Gaj. The network helps show where Thomas Gaj may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Gaj, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering Hit paper breakdown → | 2013 | 2693 |
| 2 | A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons Hit paper breakdown → | 2016 | 849 |
| 3 | 2016 | 244 | |
| 4 | 2012 | 234 | |
| 5 | 2020 | 171 | |
| 6 | 2010 | 158 | |
| 7 | 2017 | 146 | |
| 8 | 2014 | 119 | |
| 9 | 2019 | 112 | |
| 10 | 2014 | 108 | |
| 11 | 2018 | 106 | |
| 12 | 2015 | 104 | |
| 13 | 2012 | 99 | |
| 14 | 2015 | 91 | |
| 15 | 2015 | 89 | |
| 16 | 2014 | 75 | |
| 17 | 2017 | 73 | |
| 18 | 2013 | 71 | |
| 19 | 2022 | 64 | |
| 20 | 2020 | 64 |
About Thomas Gaj
Thomas Gaj is a scholar working on Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging, Cellular and Molecular Neuroscience and Neurology, having authored 48 papers that have together received 6.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (40 papers), RNA Interference and Gene Delivery (11 papers), Virus-based gene therapy research (10 papers), Advanced biosensing and bioanalysis techniques (9 papers), Pluripotent Stem Cells Research (7 papers), Animal Genetics and Reproduction (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). The work is most often cited by research in Business and International Management (362 citations), Aging (256 citations), Molecular Biology (5.0k citations), Genetics (1.6k citations) and Cellular and Molecular Neuroscience (742 citations). Thomas Gaj has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Carlos F. Barbas, Charles A. Gersbach, David V. Schaffer, Shannon J. Sirk, Jia Liu, Jing Guo, David S. Ojala, Andrew C. Mercer, M. Alejandra Zeballos C. and Prajit Limsirichai. Their work appears in journals such as Nucleic Acids Research, Molecular Therapy, PLoS ONE, Nature Communications and Science Advances.
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.