Netta Cohen
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Aging 22
- Genetics, Aging, and Longevity in Model Organisms 22
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- Circadian rhythm and melatonin 15
- Co-authors
- Jordan H. Boyle (11 shared papers)J. S. H. Taylor (1 shared paper)Larry Scott (1 shared paper)Philippe Soriano (1 shared paper)R. W. Guillery (1 shared paper)Andrew J. Furley (1 shared paper)Stefano Berri (4 shared papers)John Bryden (3 shared papers)
- Journals
- BMC Neuroscience (4 papers)Physical Review Letters (3 papers)Journal of Applied Probability (2 papers)Biosystems (2 papers)Physical Biology (2 papers)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Netta Cohen
50 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 123
- Aging 496
- Developmental Neuroscience 182
- Endocrine and Autonomic Systems 290
- Cellular and Molecular Neuroscience 583
- Cognitive Neuroscience 251
Countries citing papers authored by Netta Cohen
This map shows the geographic impact of Netta Cohen'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 Netta Cohen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Netta Cohen more than expected).
Fields of papers citing papers by Netta Cohen
This network shows the impact of papers produced by Netta Cohen. 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 Netta Cohen. The network helps show where Netta Cohen may publish in the future.
Co-authors
The 25 scholars most cited alongside Netta Cohen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 351 | |
| 2 | 2002 | 189 | |
| 3 | 2009 | 100 | |
| 4 | 2012 | 97 | |
| 5 | 2016 | 95 | |
| 6 | 2007 | 82 | |
| 7 | 2010 | 76 | |
| 8 | 2004 | 67 | |
| 9 | 2005 | 64 | |
| 10 | 2021 | 64 | |
| 11 | 2008 | 57 | |
| 12 | 2002 | 51 | |
| 13 | 2014 | 47 | |
| 14 | 2023 | 40 | |
| 15 | 1999 | 37 | |
| 16 | 2008 | 33 | |
| 17 | 2018 | 24 | |
| 18 | 2009 | 22 | |
| 19 | 2012 | 21 | |
| 20 | 2008 | 20 |
About Netta Cohen
Netta Cohen is a scholar working on Aging, Endocrine and Autonomic Systems, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 51 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (22 papers), Circadian rhythm and melatonin (15 papers), Neural dynamics and brain function (13 papers), Photoreceptor and optogenetics research (10 papers), Spaceflight effects on biology (8 papers), RNA and protein synthesis mechanisms (5 papers), Nonlinear Dynamics and Pattern Formation (4 papers) and stochastic dynamics and bifurcation (4 papers). The work is most often cited by research in Aging (496 citations), Developmental Neuroscience (182 citations), Endocrine and Autonomic Systems (290 citations), Cellular and Molecular Neuroscience (583 citations) and Cognitive Neuroscience (251 citations). Netta Cohen has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Jordan H. Boyle, J. S. H. Taylor, Larry Scott, Philippe Soriano, R. W. Guillery, Andrew J. Furley, Stefano Berri, John Bryden, Margaritis Voliotis and Tanniemola B. Liverpool. Their work appears in journals such as BMC Neuroscience, Physical Review Letters, Journal of Applied Probability, Biosystems and Physical Biology.
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.