Tamar Danon
Impact in
- Biophysics top 1%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Molecular Biology top 5%
- Gene Regulatory Network Analysis
- Single-cell and spatial transcriptomics
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
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- Gene Regulatory Network Analysis 4
- Protein Structure and Dynamics 3
- RNA and protein synthesis mechanisms 3
- Heat shock proteins research 2
- Bioinformatics and Genomic Networks 2
-
- Cell Image Analysis Techniques 7
- Advanced Fluorescence Microscopy Techniques 3
- Co-authors
- Uri Alon (13 shared papers)Ariel Cohen (12 shared papers)Naama Geva‐Zatorsky (11 shared papers)Alex Sigal (8 shared papers)Ron Milo (7 shared papers)Natalie Perzov (6 shared papers)Lydia Cohen (9 shared papers)Yuvalal Liron (6 shared papers)
- Journals
- PLoS ONE (3 papers)iScience (2 papers)Science (2 papers)Nature Protocols (2 papers)Nature Medicine (1 paper)
- Partner nations
- IsraelUnited StatesDenmark
In The Last Decade
Tamar Danon
20 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 121
- Biophysics 310
- Molecular Biology 1.4k
- Cancer Research 168
- Spectroscopy 165
- Modeling and Simulation 42
Countries citing papers authored by Tamar Danon
This map shows the geographic impact of Tamar Danon'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 Danon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tamar Danon more than expected).
Fields of papers citing papers by Tamar Danon
This network shows the impact of papers produced by Tamar Danon. 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 Danon. The network helps show where Tamar Danon may publish in the future.
Co-authors
The 25 scholars most cited alongside Tamar Danon, 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 | 2008 | 465 | |
| 2 | 2006 | 429 | |
| 3 | 2011 | 236 | |
| 4 | 2011 | 130 | |
| 5 | 2006 | 113 | |
| 6 | 2012 | 99 | |
| 7 | 2010 | 84 | |
| 8 | 2007 | 53 | |
| 9 | 2009 | 52 | |
| 10 | 2017 | 23 | |
| 11 | 2009 | 22 | |
| 12 | 2012 | 15 | |
| 13 | 2014 | 15 | |
| 14 | 2012 | 14 | |
| 15 | 2005 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2017 | 11 | |
| 18 | 2010 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 1982 | 1 |
About Tamar Danon
Tamar Danon is a scholar working on Molecular Biology, Biophysics, Spectroscopy, Genetics and Behavioral Neuroscience, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (7 papers), Advanced Proteomics Techniques and Applications (5 papers), Gene Regulatory Network Analysis (4 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Protein Structure and Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers), Heat shock proteins research (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Biophysics (310 citations), Molecular Biology (1.4k citations), Cancer Research (168 citations), Spectroscopy (165 citations) and Modeling and Simulation (42 citations). Tamar Danon has collaborated with scholars based in Israel, United States and Denmark. Frequent co-authors include Uri Alon, Ariel Cohen, Naama Geva‐Zatorsky, Alex Sigal, Ron Milo, Natalie Perzov, Lydia Cohen, Yuvalal Liron, Irina Issaeva and Eran Eden. Their work appears in journals such as PLoS ONE, iScience, Science, Nature Protocols and Nature Medicine.
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.