Jeff Smith
Impact in
- Oncology top 10%
- CAR-T cell therapy research
Papers in
-
- CRISPR and Genetic Engineering 9
- Plant tissue culture and regeneration 3
- RNA regulation and disease 2
- Oncology 6
- CAR-T cell therapy research 6
- Co-authors
- Derek Jantz (12 shared papers)Michael G. Nicholson (5 shared papers)Janel Lape (6 shared papers)Dennis Bidney (2 shared papers)S. Carl Falco (2 shared papers)Vesna Djukanovic (2 shared papers)Ande West (2 shared papers)Spencer Jones (2 shared papers)
- Journals
- Molecular Therapy (2 papers)The Plant Journal (2 papers)Human Gene Therapy (1 paper)British Journal of Haematology (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Jeff Smith
18 papers receiving 755 citations
Peers
Comparison fields: 5 of 58
- Business and International Management 49
- Oncology 257
- Molecular Biology 617
- Genetics 197
- Aging 11
Countries citing papers authored by Jeff Smith
This map shows the geographic impact of Jeff Smith'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 Jeff Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Smith more than expected).
Fields of papers citing papers by Jeff Smith
This network shows the impact of papers produced by Jeff Smith. 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 Jeff Smith. The network helps show where Jeff Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeff Smith, 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 | 2017 | 223 | |
| 2 | 2009 | 184 | |
| 3 | 2013 | 98 | |
| 4 | 2018 | 89 | |
| 5 | 2021 | 61 | |
| 6 | 2012 | 42 | |
| 7 | 2021 | 27 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 9 | |
| 11 | 2022 | 5 | |
| 12 | 2016 | 4 | |
| 13 | 2016 | 3 | |
| 14 | Rho 1-2 meganuclease, an allele-specific gene-editing therapy, rejuvenates rod photoreceptor structure and function in a pig model of autosomal dominant Retinitis Pigmentosa (adRP). | 2021 | 2 |
| 15 | 2023 | 2 | |
| 16 | 2020 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Jeff Smith
Jeff Smith is a scholar working on Molecular Biology, Oncology, Plant Science, Pathology and Forensic Medicine and Genetics, having authored 20 papers that have together received 787 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), CAR-T cell therapy research (6 papers), Chromosomal and Genetic Variations (4 papers), Plant tissue culture and regeneration (3 papers), Virus-based gene therapy research (2 papers), Integrated Circuits and Semiconductor Failure Analysis (2 papers), RNA regulation and disease (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Business and International Management (49 citations), Oncology (257 citations), Molecular Biology (617 citations), Genetics (197 citations) and Aging (11 citations). Jeff Smith has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Derek Jantz, Michael G. Nicholson, Janel Lape, Dennis Bidney, S. Carl Falco, Vesna Djukanovic, Ande West, Spencer Jones, L. Alexander Lyznik and Meizhu Yang. Their work appears in journals such as Molecular Therapy, The Plant Journal, Human Gene Therapy, British Journal of Haematology and Journal of Hepatology.
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.