Amir Ayali
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neural Engineering
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- Animal Behavior and Reproduction
- Plant and animal studies
Papers in
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- Neurobiology and Insect Physiology Research 49
- Neuroscience and Neural Engineering 11
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- Circadian rhythm and melatonin 10
- Co-authors
- Ronald M. Harris‐WarrickEshel Ben‐JacobEinat Couzin-FuchsGil ArielM. P. PenerYael ZilbersteinSarit AnavaOrit Shefi
- Journals
- Journal of Experimental Biology (10 papers)Journal of Insect Physiology (7 papers)Journal of Comparative Physiology A (6 papers)CIRP journal of manufacturing science and technology (4 papers)iScience (4 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Amir Ayali
120 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 129
- Cellular and Molecular Neuroscience 1.3k
- Ecology, Evolution, Behavior and Systematics 528
- Cognitive Neuroscience 477
- Genetics 607
- Insect Science 238
Countries citing papers authored by Amir Ayali
This map shows the geographic impact of Amir Ayali'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 Amir Ayali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amir Ayali more than expected).
Fields of papers citing papers by Amir Ayali
This network shows the impact of papers produced by Amir Ayali. 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 Amir Ayali. The network helps show where Amir Ayali may publish in the future.
Co-authors
The 25 scholars most cited alongside Amir Ayali, 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 | 2024 | 9 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 11 | |
| 7 | 2022 | 11 | |
| 8 | 2021 | 14 | |
| 9 | 2018 | 15 | |
| 10 | 2018 | 4 | |
| 11 | 2017 | 28 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 123 | |
| 14 | 2014 | 32 | |
| 15 | 2012 | 30 | |
| 16 | 2010 | 22 | |
| 17 | 2010 | 37 | |
| 18 | 2006 | 4 | |
| 19 | 2004 | 44 | |
| 20 | 1998 | 98 |
About Amir Ayali
Amir Ayali is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems, Developmental Biology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 123 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (49 papers), Insect and Arachnid Ecology and Behavior (38 papers), Animal Behavior and Reproduction (26 papers), Neural dynamics and brain function (18 papers), Physiological and biochemical adaptations (15 papers), Neuroscience and Neural Engineering (11 papers), Circadian rhythm and melatonin (10 papers) and Plant and animal studies (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Ecology, Evolution, Behavior and Systematics (528 citations), Cognitive Neuroscience (477 citations), Genetics (607 citations) and Insect Science (238 citations). Amir Ayali has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ronald M. Harris‐Warrick, Eshel Ben‐Jacob, Einat Couzin-Fuchs, Gil Ariel, M. P. Pener, Yael Zilberstein, Sarit Anava, Orit Shefi, Yael Hanein and Gábor Kósa. Their work appears in journals such as Journal of Experimental Biology, Journal of Insect Physiology, Journal of Comparative Physiology A, CIRP journal of manufacturing science and technology and iScience.
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.