Ari E. Friedland
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
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- Innovation and Socioeconomic Development
Papers in
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- CRISPR and Genetic Engineering 7
- RNA and protein synthesis mechanisms 2
- Bioinformatics and Genomic Networks 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Gene Regulatory Network Analysis 1
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
- Co-authors
- George M. Church (3 shared papers)John A. Calarco (3 shared papers)Mónica P. Colaiácovo (2 shared papers)Yonatan B. Tzur (2 shared papers)Kevin M. Esvelt (1 shared paper)Timothy K. Lu (1 shared paper)Xiao Wang (1 shared paper)James J. Collins (1 shared paper)
- Journals
- Nature Communications (1 paper)Nature Methods (1 paper)Genetics (1 paper)Genome biology (1 paper)European Heart Journal (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ari E. Friedland
10 papers receiving 1.5k citations
Ari E. Friedland's Hit Papers
Peers
Comparison fields: 5 of 94
- Aging 399
- Business and International Management 100
- Molecular Biology 1.4k
- Genetics 349
- Endocrine and Autonomic Systems 40
Countries citing papers authored by Ari E. Friedland
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
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-authors
The 25 scholars most cited alongside Ari E. Friedland, 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 | Heritable genome editing in C. elegans via a CRISPR-Cas9 system Hit paper breakdown → | 2013 | 687 |
| 2 | 2009 | 431 | |
| 3 | 2015 | 223 | |
| 4 | 2013 | 110 | |
| 5 | 2016 | 38 | |
| 6 | 2018 | 29 | |
| 7 | 2015 | 10 | |
| 8 | 2015 | 3 | |
| 9 | 2024 | 2 | |
| 10 | 2023 | 1 |
About Ari E. Friedland
Ari E. Friedland is a scholar working on Molecular Biology, Aging, Genetics, Surgery and Neuropsychology and Physiological Psychology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Evolution and Genetic Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Lipoproteins and Cardiovascular Health (1 paper) and Gene Regulatory Network Analysis (1 paper). The work is most often cited by research in Aging (399 citations), Business and International Management (100 citations), Molecular Biology (1.4k citations), Genetics (349 citations) and Endocrine and Autonomic Systems (40 citations). Ari E. Friedland has collaborated with scholars based in United States and China. Frequent co-authors include George M. Church, John A. Calarco, Mónica P. Colaiácovo, Yonatan B. Tzur, Kevin M. Esvelt, Timothy K. Lu, Xiao Wang, James J. Collins, David E. Shi and Saravanapriah Nadarajan. Their work appears in journals such as Nature Communications, Nature Methods, Genetics, Genome biology and European Heart Journal.
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.