Emre Aksay
Impact in
- Biophysics top 1%
- Advanced Fluorescence Microscopy Techniques
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
Papers in
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- Retinal Development and Disorders 12
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- Neural dynamics and brain function 13
- Visual perception and processing mechanisms 3
- Co-authors
- David W. Tank (12 shared papers)H. Sebastian Seung (9 shared papers)R. Baker (6 shared papers)R. A. Stepnoski (1 shared paper)Juergen C. Jung (1 shared paper)Mark J. Schnitzer (1 shared paper)Amit Mehta (1 shared paper)Kayvon Daie (4 shared papers)
- Journals
- Journal of Neurophysiology (4 papers)Journal of Neuroscience (3 papers)Nature Neuroscience (3 papers)Current Biology (2 papers)Neuron (2 papers)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Emre Aksay
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 93
- Biophysics 205
- Cognitive Neuroscience 682
- Cellular and Molecular Neuroscience 550
- Neurology 154
- Cell Biology 258
Countries citing papers authored by Emre Aksay
This map shows the geographic impact of Emre Aksay'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 Emre Aksay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emre Aksay more than expected).
Fields of papers citing papers by Emre Aksay
This network shows the impact of papers produced by Emre Aksay. 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 Emre Aksay. The network helps show where Emre Aksay may publish in the future.
Co-authors
The 25 scholars most cited alongside Emre Aksay, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 280 | |
| 2 | 2001 | 146 | |
| 3 | 2011 | 92 | |
| 4 | 2010 | 92 | |
| 5 | 2007 | 90 | |
| 6 | 2000 | 85 | |
| 7 | 1995 | 69 | |
| 8 | 2013 | 50 | |
| 9 | 2004 | 44 | |
| 10 | 2003 | 41 | |
| 11 | 2017 | 39 | |
| 12 | 2003 | 38 | |
| 13 | 2002 | 35 | |
| 14 | 2015 | 29 | |
| 15 | 2004 | 26 | |
| 16 | 2003 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2017 | 13 | |
| 19 | 2012 | 12 | |
| 20 | 2022 | 10 |
About Emre Aksay
Emre Aksay is a scholar working on Molecular Biology, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Cell Biology and Neurology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (13 papers), Retinal Development and Disorders (12 papers), Zebrafish Biomedical Research Applications (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Vestibular and auditory disorders (5 papers), Visual perception and processing mechanisms (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Biophysics (205 citations), Cognitive Neuroscience (682 citations), Cellular and Molecular Neuroscience (550 citations), Neurology (154 citations) and Cell Biology (258 citations). Emre Aksay has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include David W. Tank, H. Sebastian Seung, R. Baker, R. A. Stepnoski, Juergen C. Jung, Mark J. Schnitzer, Amit Mehta, Kayvon Daie, Mark S. Goldman and Andrew Miri. Their work appears in journals such as Journal of Neurophysiology, Journal of Neuroscience, Nature Neuroscience, Current Biology and Neuron.
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.