Adi Barzel
Impact in
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 10
- RNA and protein synthesis mechanisms 4
- RNA Interference and Gene Delivery 3
- RNA Research and Splicing 2
- Genetics 9
- Virus-based gene therapy research 8
- Co-authors
- Martin Kupiec (4 shared papers)Mark A. Kay (7 shared papers)Nicole K. Paulk (1 shared paper)Yuanhua Huang (1 shared paper)Laura Spector (1 shared paper)Yun Shi (1 shared paper)K. Chu (1 shared paper)K M Gaensler (1 shared paper)
- Journals
- Nature Biotechnology (2 papers)Molecular Therapy (1 paper)Nature Communications (1 paper)Frontiers in Immunology (1 paper)EMBO Molecular Medicine (1 paper)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Adi Barzel
16 papers receiving 897 citations
Adi Barzel's Hit Papers
Peers
Comparison fields: 5 of 64
- Genetics 423
- Business and International Management 27
- Molecular Biology 754
- Aging 12
- Oncology 180
Countries citing papers authored by Adi Barzel
This map shows the geographic impact of Adi Barzel'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 Adi Barzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adi Barzel more than expected).
Fields of papers citing papers by Adi Barzel
This network shows the impact of papers produced by Adi Barzel. 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 Adi Barzel. The network helps show where Adi Barzel may publish in the future.
Co-authors
The 25 scholars most cited alongside Adi Barzel, 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 | 2014 | 198 | |
| 2 | 2007 | 148 | |
| 3 | Frequent aneuploidy in primary human T cells after CRISPR–Cas9 cleavage Hit paper breakdown → | 2022 | 122 |
| 4 | 2017 | 55 | |
| 5 | 2020 | 52 | |
| 6 | 2022 | 52 | |
| 7 | 2017 | 47 | |
| 8 | 2019 | 46 | |
| 9 | 2020 | 43 | |
| 10 | 2016 | 39 | |
| 11 | 2011 | 29 | |
| 12 | 2011 | 21 | |
| 13 | 2011 | 20 | |
| 14 | 2011 | 18 | |
| 15 | 2022 | 16 | |
| 16 | 2021 | 13 | |
| 17 | 2023 | 0 | |
| 18 | 2025 | 0 |
About Adi Barzel
Adi Barzel is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Infectious Diseases, having authored 18 papers that have together received 919 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (10 papers), Virus-based gene therapy research (8 papers), CAR-T cell therapy research (6 papers), RNA and protein synthesis mechanisms (4 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), RNA Research and Splicing (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Genetics (423 citations), Business and International Management (27 citations), Molecular Biology (754 citations), Aging (12 citations) and Oncology (180 citations). Adi Barzel has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Martin Kupiec, Mark A. Kay, Nicole K. Paulk, Yuanhua Huang, Laura Spector, Yun Shi, K. Chu, K M Gaensler, Matthew H. Porteus and Paul N. Valdmanis. Their work appears in journals such as Nature Biotechnology, Molecular Therapy, Nature Communications, Frontiers in Immunology and EMBO Molecular Medicine.
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.