Eli J. Fine
Impact in
- Aging top 0.5%
-
- Innovation and Socioeconomic Development
Papers in
-
- CRISPR and Genetic Engineering 13
- Advanced biosensing and bioanalysis techniques 5
- RNA Interference and Gene Delivery 3
- RNA and protein synthesis mechanisms 3
- RNA regulation and disease 2
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Thomas J. Cradick (9 shared papers)Gang Bao (8 shared papers)Silvana Konermann (1 shared paper)Luciano A. Marraffini (1 shared paper)F. Ann Ran (1 shared paper)Vineeta Agarwala (1 shared paper)Xuebing Wu (1 shared paper)Feng Zhang (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Blood (2 papers)Scientific Reports (2 papers)Human Gene Therapy (1 paper)Annals of Biomedical Engineering (1 paper)
- Partner nations
- United StatesGermanyIndia
In The Last Decade
Eli J. Fine
16 papers receiving 4.9k citations
Eli J. Fine's Hit Papers
Peers
Comparison fields: 5 of 115
- Aging 401
- Business and International Management 446
- Molecular Biology 4.6k
- Genetics 1.0k
- Virology 121
Countries citing papers authored by Eli J. Fine
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
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-authors
The 25 scholars most cited alongside Eli J. Fine, 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 | DNA targeting specificity of RNA-guided Cas9 nucleases Hit paper breakdown → | 2013 | 3503 |
| 2 | CRISPR/Cas9 systems targeting β-globin and CCR5 genes have substantial off-target activity Hit paper breakdown → | 2013 | 465 |
| 3 | 2014 | 292 | |
| 4 | 2014 | 134 | |
| 5 | 2015 | 114 | |
| 6 | 2013 | 107 | |
| 7 | 2014 | 96 | |
| 8 | 2016 | 90 | |
| 9 | 2017 | 63 | |
| 10 | 2018 | 47 | |
| 11 | 2014 | 41 | |
| 12 | 2015 | 35 | |
| 13 | 2013 | 21 | |
| 14 | 2014 | 4 | |
| 15 | 2020 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 0 |
About Eli J. Fine
Eli J. Fine is a scholar working on Molecular Biology, Genetics, Plant Science, Public Health, Environmental and Occupational Health and Hematology, having authored 17 papers that have together received 5.0k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Advanced biosensing and bioanalysis techniques (5 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (3 papers), Plant Virus Research Studies (3 papers), RNA and protein synthesis mechanisms (3 papers), RNA regulation and disease (2 papers) and Hemophilia Treatment and Research (2 papers). The work is most often cited by research in Aging (401 citations), Business and International Management (446 citations), Molecular Biology (4.6k citations), Genetics (1.0k citations) and Virology (121 citations). Eli J. Fine has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Thomas J. Cradick, Gang Bao, Silvana Konermann, Luciano A. Marraffini, F. Ann Ran, Vineeta Agarwala, Xuebing Wu, Feng Zhang, Ophir Shalem and David A. Scott. Their work appears in journals such as Nucleic Acids Research, Blood, Scientific Reports, Human Gene Therapy and Annals of Biomedical Engineering.
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.