Tamar Friedlander
Impact in
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- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
Papers in
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- Gene Regulatory Network Analysis 7
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- Bioinformatics and Genomic Networks 2
- Plant Reproductive Biology 2
- Genetics 5
- Evolution and Genetic Dynamics 5
- Co-authors
- Avi Mayo (2 shared papers)Uri Alon (2 shared papers)Tsvi Tlusty (2 shared papers)Naama Brenner (3 shared papers)Gašper Tkačik (1 shared paper)Călin C. Guet (1 shared paper)Nick Barton (1 shared paper)Roshan Prizak (1 shared paper)
- Journals
- PLoS Computational Biology (2 papers)Nature Communications (2 papers)PLoS ONE (1 paper)Molecular Biology and Evolution (1 paper)BMC Psychiatry (1 paper)
- Partner nations
- IsraelUnited StatesAustria
In The Last Decade
Tamar Friedlander
14 papers receiving 235 citations
Peers
Comparison fields: 5 of 77
- Aging 10
- Molecular Biology 171
- Genetics 67
- Biophysics 10
- Statistical and Nonlinear Physics 10
Countries citing papers authored by Tamar Friedlander
This map shows the geographic impact of Tamar Friedlander'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 Tamar Friedlander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Friedlander more than expected).
Fields of papers citing papers by Tamar Friedlander
This network shows the impact of papers produced by Tamar Friedlander. 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 Tamar Friedlander. The network helps show where Tamar Friedlander may publish in the future.
Co-authors
The 22 scholars most cited alongside Tamar Friedlander, 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 | 2015 | 82 | |
| 2 | 2016 | 38 | |
| 3 | 2009 | 29 | |
| 4 | 2013 | 22 | |
| 5 | 2013 | 19 | |
| 6 | 2008 | 12 | |
| 7 | 2024 | 8 | |
| 8 | 2020 | 8 | |
| 9 | 2023 | 7 | |
| 10 | 2011 | 6 | |
| 11 | 2022 | 3 | |
| 12 | 1967 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 1 |
About Tamar Friedlander
Tamar Friedlander is a scholar working on Molecular Biology, Genetics, Plant Science, Organic Chemistry and Surgery, having authored 14 papers that have together received 238 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Evolution and Genetic Dynamics (5 papers), Horticultural and Viticultural Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant Physiology and Cultivation Studies (2 papers), Bioinformatics and Genomic Networks (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Aging (10 citations), Molecular Biology (171 citations), Genetics (67 citations), Biophysics (10 citations) and Statistical and Nonlinear Physics (10 citations). Tamar Friedlander has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Avi Mayo, Uri Alon, Tsvi Tlusty, Naama Brenner, Gašper Tkačik, Călin C. Guet, Nick Barton, Roshan Prizak, Rinat Arbel‐Goren and Nina Costantino. Their work appears in journals such as PLoS Computational Biology, Nature Communications, PLoS ONE, Molecular Biology and Evolution and BMC Psychiatry.
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.