Eli Kopel

582 total citations
10 papers, 330 citations indexed

About

Eli Kopel is a scholar working on Molecular Biology, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eli Kopel has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Epidemiology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Eli Kopel's work include RNA regulation and disease (9 papers), CRISPR and Genetic Engineering (5 papers) and RNA Research and Splicing (4 papers). Eli Kopel is often cited by papers focused on RNA regulation and disease (9 papers), CRISPR and Genetic Engineering (5 papers) and RNA Research and Splicing (4 papers). Eli Kopel collaborates with scholars based in Israel, Italy and United States. Eli Kopel's co-authors include Erez Y. Levanon, Amos Schaffer, Eli Eisenberg, Ernesto Picardi, Tiziano Flati, Graziano Pesole, Claudio Lo Giudice, Giovanni Chillemi, Tiziana Castrignanò and M. A. Tangaro and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Genome Research.

In The Last Decade

Eli Kopel

10 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eli Kopel Israel 9 271 47 38 28 27 10 330
Galip Servet Aslan United States 8 74 0.3× 20 0.4× 21 0.6× 21 0.8× 27 1.0× 11 149
Árpád Ferenc Kovács Hungary 8 139 0.5× 83 1.8× 51 1.3× 8 0.3× 3 0.1× 19 209
Richard de Reuver Belgium 4 310 1.1× 185 3.9× 27 0.7× 39 1.4× 4 0.1× 5 357
Yong Yao China 7 111 0.4× 29 0.6× 85 2.2× 5 0.2× 5 0.2× 7 168
Kalin Mayberry United States 7 160 0.6× 7 0.1× 12 0.3× 9 0.3× 46 1.7× 16 227
Omar Farah United States 7 152 0.6× 75 1.6× 29 0.8× 5 0.2× 2 0.1× 10 299
Stacey Hume Canada 10 108 0.4× 5 0.1× 29 0.8× 15 0.5× 4 0.1× 19 207
Maria Grazia D’Errigo Italy 4 106 0.4× 13 0.3× 17 0.4× 5 0.2× 67 2.5× 9 176
Christophe Capelle Luxembourg 5 74 0.3× 110 2.3× 14 0.4× 10 0.4× 4 0.1× 8 189
Jiaoyang Liao China 7 168 0.6× 7 0.1× 11 0.3× 7 0.3× 21 0.8× 12 219

Countries citing papers authored by Eli Kopel

Since Specialization
Citations

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

Fields of papers citing papers by Eli Kopel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eli Kopel

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

All Works

10 of 10 papers shown
1.
Mann, Tomer, Eli Kopel, Eli Eisenberg, & Erez Y. Levanon. (2023). Increased A-to-I RNA editing in atherosclerosis and cardiomyopathies. PLoS Computational Biology. 19(4). e1010923–e1010923. 8 indexed citations
2.
Kopel, Eli, Sarit Karako‐Lampert, Joshua J. C. Rosenthal, et al.. (2023). Identification of exceptionally potent adenosine deaminases RNA editors from high body temperature organisms. PLoS Genetics. 19(3). e1010661–e1010661. 9 indexed citations
3.
Kopel, Eli, Tomer Mann, Roni Cohen‐Fultheim, et al.. (2022). Landscape of adenosine-to-inosine RNA recoding across human tissues. Nature Communications. 13(1). 1184–1184. 60 indexed citations
4.
Kopel, Eli, et al.. (2022). Altered RNA Editing in Atopic Dermatitis Highlights the Role of Double-Stranded RNA for Immune Surveillance. Journal of Investigative Dermatology. 143(6). 933–943.e8. 6 indexed citations
5.
Buchumenski, Ilana, Shalom Hillel Roth, Eli Kopel, et al.. (2021). Global quantification exposes abundant low-level off-target activity by base editors. Genome Research. 31(12). 2354–2361. 14 indexed citations
6.
Kopel, Eli, Ariel Feiglin, Tamar Sofer, et al.. (2020). Increased RNA editing in maternal immune activation model of neurodevelopmental disease. Nature Communications. 11(1). 5236–5236. 27 indexed citations
7.
Tangaro, M. A., Claudio Lo Giudice, Tiziano Flati, et al.. (2020). REDIportal: millions of novel A-to-I RNA editing events from thousands of RNAseq experiments. Nucleic Acids Research. 49(D1). D1012–D1019. 91 indexed citations
8.
Schaffer, Amos, Eli Kopel, Ayal Hendel, et al.. (2020). The cell line A-to-I RNA editing catalogue. Nucleic Acids Research. 48(11). 5849–5858. 50 indexed citations
9.
Fein, Joshua, Avichai Shimoni, Myriam Labopin, et al.. (2018). The impact of individual comorbidities on non-relapse mortality following allogeneic hematopoietic stem cell transplantation. Leukemia. 32(8). 1787–1794. 31 indexed citations
10.
Kopel, Eli, Ariel Feiglin, Dror Avni, et al.. (2018). Decreased A-to-I RNA editing as a source of keratinocytes' dsRNA in psoriasis. RNA. 24(6). 828–840. 34 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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