Ari E. Friedland

2.9k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

Ari E. Friedland is a scholar working on Molecular Biology, Aging and Genetics. According to data from OpenAlex, Ari E. Friedland has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Aging and 2 papers in Genetics. Recurrent topics in Ari E. Friedland's work include CRISPR and Genetic Engineering (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and RNA and protein synthesis mechanisms (3 papers). Ari E. Friedland is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and RNA and protein synthesis mechanisms (3 papers). Ari E. Friedland collaborates with scholars based in United States and China. Ari E. Friedland's co-authors include George M. Church, John A. Calarco, Yonatan B. Tzur, Mónica P. Colaiácovo, Kevin M. Esvelt, David E. Shi, Xiao Wang, James J. Collins, Timothy K. Lu and Saravanapriah Nadarajan and has published in prestigious journals such as Science, Nature Communications and Blood.

In The Last Decade

Ari E. Friedland

10 papers receiving 1.5k citations

Hit Papers

Heritable genome editing in C. elegans via a CRISPR-Cas9 ... 2013 2026 2017 2021 2013 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ari E. Friedland United States 7 1.4k 406 355 120 101 10 1.5k
Te‐Wen Lo United States 9 745 0.5× 245 0.6× 199 0.6× 115 1.0× 48 0.5× 13 874
Yonatan B. Tzur Israel 11 1.1k 0.8× 454 1.1× 211 0.6× 115 1.0× 65 0.6× 18 1.3k
Erwei Zuo China 18 1.7k 1.2× 73 0.2× 505 1.4× 207 1.7× 171 1.7× 35 1.9k
Becky Xu Hua Fu United States 10 720 0.5× 420 1.0× 135 0.4× 76 0.6× 31 0.3× 16 871
Chaoyang Ye United States 10 1.1k 0.8× 73 0.2× 659 1.9× 109 0.9× 66 0.7× 17 1.6k
Matthew McNeill United States 11 814 0.6× 50 0.1× 249 0.7× 106 0.9× 75 0.7× 16 1.0k
Håkon Tjeldnes Norway 5 922 0.7× 48 0.1× 181 0.5× 115 1.0× 20 0.2× 7 1.2k
Robert J. Ihry United States 7 847 0.6× 65 0.2× 237 0.7× 50 0.4× 69 0.7× 9 1.1k
Peter Lotfy United States 5 1.1k 0.8× 45 0.1× 149 0.4× 77 0.6× 85 0.8× 6 1.2k

Countries citing papers authored by Ari E. Friedland

Since Specialization
Citations

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

Fields of papers citing papers by Ari E. Friedland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ari E. Friedland. 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 Ari E. Friedland. The network helps show where Ari E. Friedland may publish in the future.

Co-authorship network of co-authors of Ari E. Friedland

This figure shows the co-authorship network connecting the top 25 collaborators of Ari E. Friedland. A scholar is included among the top collaborators of Ari E. Friedland 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 Ari E. Friedland. Ari E. Friedland 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.
Tremblay, Francine, Kevin R. Kelly, Svati H. Shah, et al.. (2024). An epigenetic editor targeting human PCSK9 efficiently and durably lowers Low Density Lipoprotein Cholesterol (LDL-C) in non-human primates. European Heart Journal. 45(Supplement_1). 2 indexed citations
2.
Schafer, Jamie L., Justin D. Trombley, McKensie Collins, et al.. (2023). Durable Multiplex Epigenetic Editing for Generation of Allogeneic CAR T without Chromosomal Rearrangements. Blood. 142(Supplement 1). 3446–3446. 1 indexed citations
3.
Tycko, Josh, Luis Barrera, Nicholas C. Huston, et al.. (2018). Pairwise library screen systematically interrogates Staphylococcus aureus Cas9 specificity in human cells. Nature Communications. 9(1). 2962–2962. 27 indexed citations
4.
Mann, Frederick G., Eric L. Van Nostrand, Ari E. Friedland, Xiao Liu, & Stuart K. Kim. (2016). Deactivation of the GATA Transcription Factor ELT-2 Is a Major Driver of Normal Aging in C. elegans. PLoS Genetics. 12(4). e1005956–e1005956. 37 indexed citations
5.
Friedland, Ari E., Pankhuri Singhal, Shen Shen, et al.. (2015). Characterization of Staphylococcus aureus Cas9: a smaller Cas9 for all-in-one adeno-associated virus delivery and paired nickase applications. Genome biology. 16(1). 257–257. 223 indexed citations
6.
Calarco, John A. & Ari E. Friedland. (2015). Creating Genome Modifications in C. elegans Using the CRISPR/Cas9 System. Methods in molecular biology. 1327. 59–74. 3 indexed citations
7.
Maeder, Morgan L., Shen Shen, Erin R. Burnight, et al.. (2015). 687. Therapeutic Correction of an LCA-Causing Splice Defect in the CEP290 Gene by CRISPR/Cas-Mediated Genome Editing. Molecular Therapy. 23. S273–S274. 9 indexed citations
8.
Friedland, Ari E., Yonatan B. Tzur, Kevin M. Esvelt, et al.. (2013). Heritable genome editing in C. elegans via a CRISPR-Cas9 system. Nature Methods. 10(8). 741–743. 684 indexed citations breakdown →
9.
Tzur, Yonatan B., Ari E. Friedland, Saravanapriah Nadarajan, et al.. (2013). Heritable Custom Genomic Modifications in Caenorhabditis elegans via a CRISPR–Cas9 System. Genetics. 195(3). 1181–1185. 110 indexed citations
10.
Friedland, Ari E., Timothy K. Lu, Xiao Wang, et al.. (2009). Synthetic Gene Networks That Count. Science. 324(5931). 1199–1202. 429 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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