David Biron
Impact in
- Aging top 0.2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
- Aging 23
- Genetics, Aging, and Longevity in Model Organisms 23
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- Circadian rhythm and melatonin 17
- Co-authors
- Aravinthan D. T. Samuel (5 shared papers)Piali Sengupta (4 shared papers)Damon Clark (4 shared papers)Stanislav Nagy (10 shared papers)Shachar Iwanir (5 shared papers)Elisha Moses (8 shared papers)Eli Biham (3 shared papers)Markus Grassl (3 shared papers)
- Journals
- eLife (3 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Experimental Biology (2 papers)BMC Neuroscience (2 papers)Physical Review A (2 papers)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
David Biron
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 115
- Aging 840
- Endocrine and Autonomic Systems 665
- Cellular and Molecular Neuroscience 316
- Physiology 244
- Biological Psychiatry 21
Countries citing papers authored by David Biron
This map shows the geographic impact of David Biron'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 David Biron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Biron more than expected).
Fields of papers citing papers by David Biron
This network shows the impact of papers produced by David Biron. 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 David Biron. The network helps show where David Biron may publish in the future.
Co-authors
The 25 scholars most cited alongside David Biron, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 168 | |
| 2 | 2008 | 115 | |
| 3 | 2014 | 91 | |
| 4 | 1999 | 87 | |
| 5 | 2006 | 77 | |
| 6 | 2017 | 68 | |
| 7 | 2013 | 66 | |
| 8 | 2006 | 60 | |
| 9 | 2016 | 56 | |
| 10 | 2000 | 56 | |
| 11 | 1999 | 52 | |
| 12 | 2014 | 52 | |
| 13 | 2001 | 50 | |
| 14 | 2018 | 40 | |
| 15 | 2016 | 38 | |
| 16 | 2014 | 38 | |
| 17 | 2007 | 35 | |
| 18 | 2013 | 29 | |
| 19 | 2016 | 29 | |
| 20 | 2005 | 27 |
About David Biron
David Biron is a scholar working on Aging, Endocrine and Autonomic Systems, Cell Biology, Cellular and Molecular Neuroscience and Physiology, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (23 papers), Circadian rhythm and melatonin (17 papers), Spaceflight effects on biology (5 papers), Quantum Information and Cryptography (3 papers), Quantum Mechanics and Applications (3 papers), Microtubule and mitosis dynamics (3 papers), Cellular Mechanics and Interactions (3 papers) and Quantum Computing Algorithms and Architecture (3 papers). The work is most often cited by research in Aging (840 citations), Endocrine and Autonomic Systems (665 citations), Cellular and Molecular Neuroscience (316 citations), Physiology (244 citations) and Biological Psychiatry (21 citations). David Biron has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Aravinthan D. T. Samuel, Piali Sengupta, Damon Clark, Stanislav Nagy, Shachar Iwanir, Elisha Moses, Eli Biham, Markus Grassl, Ofer Biham and Daniel Lidar. Their work appears in journals such as eLife, Proceedings of the National Academy of Sciences, Journal of Experimental Biology, BMC Neuroscience and Physical Review A.
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.