Eli J. Fine

7.0k total citations · 2 hit papers
19 papers, 5.0k citations indexed

About

Eli J. Fine is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Eli J. Fine has authored 19 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Plant Science. Recurrent topics in Eli J. Fine's work include CRISPR and Genetic Engineering (13 papers), Virus-based gene therapy research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Eli J. Fine is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Virus-based gene therapy research (5 papers) and Advanced biosensing and bioanalysis techniques (5 papers). Eli J. Fine collaborates with scholars based in United States, India and Germany. Eli J. Fine's co-authors include Thomas J. Cradick, Gang Bao, Vineeta Agarwala, Yinqing Li, Xuebing Wu, Joshua A. Weinstein, Patrick D. Hsu, Silvana Konermann, David A. Scott and Ophir Shalem and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Eli J. Fine

18 papers receiving 4.9k citations

Hit Papers

DNA targeting specificity of RNA-guided Cas9 nucleases 2013 2026 2017 2021 2013 2013 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eli J. Fine United States 15 4.6k 1.1k 576 461 420 19 5.0k
Gang Bao United States 9 4.1k 0.9× 895 0.8× 520 0.9× 406 0.9× 375 0.9× 11 4.5k
Alexandro E. Trevino United States 13 5.4k 1.2× 1.1k 1.0× 609 1.1× 431 0.9× 430 1.0× 30 6.0k
Vikram Pattanayak United States 16 4.2k 0.9× 985 0.9× 461 0.8× 535 1.2× 351 0.8× 24 4.4k
Thomas J. Cradick United States 20 5.9k 1.3× 1.4k 1.3× 721 1.3× 648 1.4× 501 1.2× 33 6.4k
Alexander A. Sousa United States 11 5.1k 1.1× 1.4k 1.3× 763 1.3× 568 1.2× 375 0.9× 13 5.4k
Michelle S. Prew United States 10 4.3k 0.9× 931 0.9× 492 0.9× 575 1.2× 370 0.9× 14 4.4k
Ved V. Topkar United States 11 4.2k 0.9× 904 0.8× 443 0.8× 542 1.2× 358 0.9× 15 4.3k
Nicole M. Gaudelli United States 13 4.2k 0.9× 1.2k 1.1× 572 1.0× 397 0.9× 224 0.5× 18 4.4k
Peyton B. Randolph United States 7 4.1k 0.9× 1.2k 1.1× 664 1.2× 366 0.8× 259 0.6× 7 4.4k
Jeongbin Park South Korea 15 3.4k 0.7× 691 0.6× 617 1.1× 322 0.7× 231 0.6× 30 3.9k

Countries citing papers authored by Eli J. Fine

Since Specialization
Citations

This map shows the geographic impact of Eli J. Fine'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 Eli J. Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli J. Fine more than expected).

Fields of papers citing papers by Eli J. Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli J. Fine. 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 Eli J. Fine. The network helps show where Eli J. Fine may publish in the future.

Co-authorship network of co-authors of Eli J. Fine

This figure shows the co-authorship network connecting the top 25 collaborators of Eli J. Fine. A scholar is included among the top collaborators of Eli J. Fine 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 Eli J. Fine. Eli J. Fine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
2.
Fine, Eli J., Afshin Ameri, Satish Kumar, et al.. (2020). Specific Correction of the Intron-22 Inverted Factor VIII Gene in Autologous Blood Outgrowth Endothelial Cells from Patients with Severe Hemophilia A. Blood. 136(Supplement 1). 30–31. 2 indexed citations
3.
Doering, Christopher B., Gabriela Denning, Eli J. Fine, et al.. (2018). Preclinical Development of a Hematopoietic Stem and Progenitor Cell Bioengineered Factor VIII Lentiviral Vector Gene Therapy for Hemophilia A. Human Gene Therapy. 29(10). 1183–1201. 45 indexed citations
4.
Fine, Eli J., et al.. (2018). Leveraging genetic diversity in vitro: Evolution or revolution in cardiac safety assessment?. Journal of Pharmacological and Toxicological Methods. 93. 163–163. 1 indexed citations
5.
Vilariño, Marcela, S. Tamir Rashid, Fabian P. Suchy, et al.. (2017). CRISPR/Cas9 microinjection in oocytes disables pancreas development in sheep. Scientific Reports. 7(1). 17472–17472. 63 indexed citations
6.
Lee, Ciaran M., Thomas J. Cradick, Eli J. Fine, & Gang Bao. (2016). Nuclease Target Site Selection for Maximizing On-target Activity and Minimizing Off-target Effects in Genome Editing. Molecular Therapy. 24(3). 475–487. 89 indexed citations
7.
Fine, Eli J., et al.. (2015). Trans-spliced Cas9 allows cleavage of HBB and CCR5 genes in human cells using compact expression cassettes. Scientific Reports. 5(1). 10777–10777. 35 indexed citations
8.
Hendel, Ayal, Eli J. Fine, Gang Bao, & Matthew H. Porteus. (2015). Quantifying on- and off-target genome editing. Trends in biotechnology. 33(2). 132–140. 114 indexed citations
9.
Fine, Eli J., Thomas J. Cradick, & Gang Bao. (2014). Identification of Off-Target Cleavage Sites of Zinc Finger Nucleases and TAL Effector Nucleases Using Predictive Models. Methods in molecular biology. 1114. 371–383. 4 indexed citations
10.
Cradick, Thomas J., Peng Qiu, Ciaran M. Lee, Eli J. Fine, & Gang Bao. (2014). COSMID: A Web-based Tool for Identifying and Validating CRISPR/Cas Off-target Sites. Molecular Therapy — Nucleic Acids. 3. e214–e214. 284 indexed citations
11.
Hendel, Ayal, Eric Kildebeck, Eli J. Fine, et al.. (2014). Quantifying Genome-Editing Outcomes at Endogenous Loci with SMRT Sequencing. Cell Reports. 7(1). 293–305. 95 indexed citations
12.
Fine, Eli J., Zhilan Zheng, Richard A. Voit, et al.. (2014). SAPTA: a new design tool for improving TALE nuclease activity. Nucleic Acids Research. 42(6). e47–e47. 41 indexed citations
13.
Mussolino, Claudio, Jamal Alzubi, Eli J. Fine, et al.. (2014). TALENs facilitate targeted genome editing in human cells with high specificity and low cytotoxicity. Nucleic Acids Research. 42(10). 6762–6773. 131 indexed citations
14.
Cradick, Thomas J., et al.. (2013). CRISPR/Cas9 systems targeting β-globin and CCR5 genes have substantial off-target activity. Nucleic Acids Research. 41(20). 9584–9592. 459 indexed citations breakdown →
15.
Hsu, Patrick D., David A. Scott, Joshua A. Weinstein, et al.. (2013). DNA targeting specificity of RNA-guided Cas9 nucleases. Nature Biotechnology. 31(9). 827–832. 3441 indexed citations breakdown →
16.
Fine, Eli J., et al.. (2013). An online bioinformatics tool predicts zinc finger and TALE nuclease off-target cleavage. Nucleic Acids Research. 42(6). e42–e42. 107 indexed citations
17.
Tong, Sheng, et al.. (2013). Nanomedicine: Tiny Particles and Machines Give Huge Gains. Annals of Biomedical Engineering. 42(2). 243–259. 21 indexed citations
18.
Liu, Huinan & Eli J. Fine. (2010). Mechanical properties of dispersed ceramic nanoparticles in polymer composites for orthopedic applications. SHILAP Revista de lepidopterología. 15 indexed citations
19.
Fine, Eli J.. (2009). Enhanced endothelial cell functions on rosette nanotube-coated titanium vascular stents. International Journal of Nanomedicine. 91–91. 53 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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