Jeff Smith

1.3k citations
22 papers · 952 · h-index 11

Impact in

Papers in

    • CRISPR and Genetic Engineering 9
    • Mitochondrial Function and Pathology 2
    • RNA regulation and disease 2
    • Plant tissue culture and regeneration 2
    • CAR-T cell therapy research 7

Jeff Smith

21 papers receiving 913 citations

Peers

Jeff Smith
Comparison fields: 5 of 65
  • Business and International Management 53
  • Oncology 269
  • Molecular Biology 725
  • Aging 14
  • Genetics 214
Replace Elizabeth A. Boydston with:
Elizabeth A. Boydston United States
Stacey Thibodeau-Beganny United States
Angela N. Pogson United States
Camilla Lööv Sweden
Hiromi Miura Japan
Erwei Zuo China
Yidi Sun China
Elizabeth Frias Switzerland
Mandana Arbab United States
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Citations per field
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Citations per year

Countries citing papers authored by Jeff Smith

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jeff Smith Line = papers co-authored together Jeff Smith links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017231
2 2009213
3 2013117
4 201893
5 200174
6 202171
7 201249
8 202128
9 202326
10 202217
11 202210
12 20225
13 20164
14 20233
15 20163
16
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).
20212
17 20202
18 20241
19 20251
20 20161

About Jeff Smith

Jeff Smith is a scholar working on Molecular Biology, Oncology, Plant Science, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 952 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (9 papers), CAR-T cell therapy research (7 papers), Chromosomal and Genetic Variations (3 papers), Mitochondrial Function and Pathology (2 papers), Lymphoma Diagnosis and Treatment (2 papers), RNA regulation and disease (2 papers), Virus-based gene therapy research (2 papers) and Plant tissue culture and regeneration (2 papers). The work is most often cited by research in Business and International Management (53 citations), Oncology (269 citations), Molecular Biology (725 citations), Aging (14 citations) and Genetics (214 citations). Jeff Smith has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Derek Jantz, Michael G. Nicholson, Ande West, L. Alexander Lyznik, Meizhu Yang, Dennis Bidney, Janel Lape, Spencer Jones, Huirong Gao and Vesna Djukanovic. Their work appears in journals such as Molecular Therapy, The Plant Journal, Nature Communications, British Journal of Haematology and The Journal of Immunology.

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.

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