Michael Doron
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 6
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- Neuroscience and Neuropharmacology Research 4
- Neuroscience and Neural Engineering 2
- Co-authors
- Idan Segev (6 shared papers)Juan Carlos Caicedo (2 shared papers)Aditya Pratapa (2 shared papers)Henry Markram (2 shared papers)Giuseppe Chindemi (2 shared papers)Eilif Müller (2 shared papers)Larry Abbott (1 shared paper)Valentine Andreu (1 shared paper)
- Journals
- PLoS Computational Biology (1 paper)Journal of Neuroscience (1 paper)Nature Communications (1 paper)Cell Reports (1 paper)Nature Neuroscience (1 paper)
- Partner nations
- United StatesIsraelSwitzerland
In The Last Decade
Michael Doron
8 papers receiving 265 citations
Peers
Comparison fields: 5 of 62
- Biophysics 51
- Cellular and Molecular Neuroscience 135
- Cognitive Neuroscience 135
- Media Technology 17
- Neurology 16
Countries citing papers authored by Michael Doron
This map shows the geographic impact of Michael Doron'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 Michael Doron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Doron more than expected).
Fields of papers citing papers by Michael Doron
This network shows the impact of papers produced by Michael Doron. 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 Michael Doron. The network helps show where Michael Doron may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Doron, 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 | 2020 | 95 | |
| 2 | 2021 | 65 | |
| 3 | 2017 | 43 | |
| 4 | 2022 | 41 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2021 | 3 | |
| 9 | 2025 | 0 |
About Michael Doron
Michael Doron is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Biophysics, Molecular Biology and Artificial Intelligence, having authored 9 papers that have together received 265 indexed citations. Recurring topics across this work include Neural dynamics and brain function (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Cell Image Analysis Techniques (3 papers), Single-cell and spatial transcriptomics (2 papers), Neuroscience and Neural Engineering (2 papers), Advanced Memory and Neural Computing (2 papers), Image Processing Techniques and Applications (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Biophysics (51 citations), Cellular and Molecular Neuroscience (135 citations), Cognitive Neuroscience (135 citations), Media Technology (17 citations) and Neurology (16 citations). Michael Doron has collaborated with scholars based in United States, Israel and Switzerland. Frequent co-authors include Idan Segev, Juan Carlos Caicedo, Aditya Pratapa, Henry Markram, Giuseppe Chindemi, Eilif Müller, Larry Abbott, Valentine Andreu, Heike Blockus and Daniel Maxim Iascone. Their work appears in journals such as PLoS Computational Biology, Journal of Neuroscience, Nature Communications, Cell Reports and Nature Neuroscience.
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.