Jeff Smith

1.2k total citations
20 papers, 787 citations indexed

About

Jeff Smith is a scholar working on Molecular Biology, Oncology and Plant Science. According to data from OpenAlex, Jeff Smith has authored 20 papers receiving a total of 787 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Plant Science. Recurrent topics in Jeff Smith's work include CRISPR and Genetic Engineering (9 papers), CAR-T cell therapy research (6 papers) and Chromosomal and Genetic Variations (4 papers). Jeff Smith is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), CAR-T cell therapy research (6 papers) and Chromosomal and Genetic Variations (4 papers). Jeff Smith collaborates with scholars based in United States, United Kingdom and Sweden. Jeff Smith's co-authors include Derek Jantz, Michael G. Nicholson, Janel Lape, Spencer Jones, Ande West, Dennis Bidney, L. Alexander Lyznik, Huirong Gao, Meizhu Yang and Vesna Djukanovic and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jeff Smith

18 papers receiving 755 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jeff Smith United States 10 617 257 209 197 76 20 787
Janel Lape United States 5 358 0.6× 209 0.8× 69 0.3× 160 0.8× 70 0.9× 8 479
Linhong Li United States 16 571 0.9× 261 1.0× 103 0.5× 209 1.1× 67 0.9× 35 924
Tony P. Huang United States 11 1.2k 2.0× 59 0.2× 95 0.5× 342 1.7× 24 0.3× 11 1.3k
Michael T. Certo United States 9 684 1.1× 137 0.5× 86 0.4× 200 1.0× 44 0.6× 10 754
Kendall R Sanson United States 5 949 1.5× 138 0.5× 49 0.2× 160 0.8× 21 0.3× 5 1.1k
Christine Strand United States 7 819 1.3× 128 0.5× 54 0.3× 146 0.7× 16 0.2× 7 995
In-Young Jung United States 8 604 1.0× 290 1.1× 48 0.2× 174 0.9× 111 1.5× 13 802
Mahmut Parlak United States 12 633 1.0× 152 0.6× 74 0.4× 121 0.6× 16 0.2× 12 797
Tanglong Yuan China 9 1.1k 1.7× 39 0.2× 114 0.5× 299 1.5× 18 0.2× 13 1.1k
Julian Grünewald United States 9 1.6k 2.6× 71 0.3× 228 1.1× 454 2.3× 16 0.2× 11 1.6k

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-authorship network of co-authors of Jeff Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Smith. A scholar is included among the top collaborators of Jeff Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jeff Smith. Jeff Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Martin, Chris, et al.. (2024). Zeolites – tabletting ibuprofen with and without zeolites as an excipient. International Journal of Pharmacy Practice. 32(Supplement_2). ii41–ii42.
4.
Evans, K. D., Whitney Lewis, Ying K. Tam, et al.. (2024). LBP-022 Preclinical safety data for PBGENE-HBV gene editing program supports advancement to clinical trials as a potentially curative treatment for chronic hepatitis B. Journal of Hepatology. 80. S88–S88. 1 indexed citations
5.
Lape, Janel, Sandra R. Bacman, Flavia Fontanesi, et al.. (2023). Efficient elimination of MELAS-associated m.3243G mutant mitochondrial DNA by an engineered mitoARCUS nuclease. Nature Metabolism. 5(12). 2169–2183. 20 indexed citations
6.
Dewey, Ralph E., Devarshi Selote, Harold C. Griffin, et al.. (2023). Cytoplasmic male sterility and abortive seed traits generated through mitochondrial genome editing coupled with allotopic expression of atp1 in tobacco. Frontiers in Plant Science. 14. 1253640–1253640. 2 indexed citations
7.
Greig, Jenny A., Camilo Breton, Yanqing Zhu, et al.. (2022). Treating Transthyretin Amyloidosis via Adeno-Associated Virus Vector Delivery of Meganucleases. Human Gene Therapy. 33(21-22). 1174–1186. 5 indexed citations
8.
Cwynarski, Kate, Wendy Osborne, Sridhar Chaganti, et al.. (2022). Management of secondary central nervous system lymphoma. British Journal of Haematology. 200(2). 160–169. 9 indexed citations
9.
OGASAWARA, K., James Lymp, Timothy R. Mack, et al.. (2022). In Vivo Cellular Expansion of Lisocabtagene Maraleucel and Association With Efficacy and Safety in Relapsed/Refractory Large B‐Cell Lymphoma. Clinical Pharmacology & Therapeutics. 112(1). 81–89. 14 indexed citations
10.
Noel, Jennifer, Wei Wang, Nazarul Hasan, et al.. (2021). 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).. Investigative Ophthalmology & Visual Science. 62(8). 1478–1478. 2 indexed citations
11.
Bacman, Sandra R., Jeff Smith, Cláudia V. Pereira, et al.. (2021). Mitochondrial targeted meganuclease as a platform to eliminate mutant mtDNA in vivo. Nature Communications. 12(1). 3210–3210. 61 indexed citations
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Spaulding, Vikki, et al.. (2020). 217 Evaluating biomarkers of JTX-8064 (anti-LILRB2/ILT4 monoclonal antibody) in an ex vivo human tumor histoculture system to inform clinical development. SHILAP Revista de lepidopterología. A129.2–A130. 2 indexed citations
14.
Wang, Lili, Jeff Smith, Camilo Breton, et al.. (2018). Meganuclease targeting of PCSK9 in macaque liver leads to stable reduction in serum cholesterol. Nature Biotechnology. 36(8). 717–725. 89 indexed citations
15.
MacLeod, Daniel T., Aaron J. Martin, Armin Hekele, et al.. (2017). Integration of a CD19 CAR into the TCR Alpha Chain Locus Streamlines Production of Allogeneic Gene-Edited CAR T Cells. Molecular Therapy. 25(4). 949–961. 223 indexed citations
16.
Brown, Audrey E., Daniel T. MacLeod, Aaron J. Martin, et al.. (2016). T cell receptor knockout efficiency utilizing an engineered meganuclease is influenced by stimulation conditions.. The Journal of Immunology. 196(1_Supplement). 138.2–138.2. 3 indexed citations
17.
Bartsevich, Victor V., John Morris, Michael G. Nicholson, et al.. (2016). 579. Meganucleases as an Efficient Tool for Genome Editing. Molecular Therapy. 24. S230–S230. 4 indexed citations
18.
Djukanovic, Vesna, Jeff Smith, Keith Lowe, et al.. (2013). Male‐sterile maize plants produced by targeted mutagenesis of the cytochrome P450‐like gene (MS26) using a re‐designed I–CreI homing endonuclease. The Plant Journal. 76(5). 888–899. 98 indexed citations
19.
Antunes, Mauricio S., Jeff Smith, Derek Jantz, & June I. Medford. (2012). Targeted DNA excision in Arabidopsis by a re-engineered homing endonuclease. BMC Biotechnology. 12(1). 86–86. 42 indexed citations
20.
Gao, Huirong, Jeff Smith, Meizhu Yang, et al.. (2009). Heritable targeted mutagenesis in maize using a designed endonuclease. The Plant Journal. 61(1). 176–187. 184 indexed citations

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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