Simone Temporal
Impact in
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
Papers in
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- Neurobiology and Insect Physiology Research 4
- Neuroscience and Neuropharmacology Research 3
- Neuroscience and Neural Engineering 2
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- Neural dynamics and brain function 3
- Co-authors
- David J. Schulz (8 shared papers)Olga Khorkova (1 shared paper)Jorge Golowasch (1 shared paper)Maria Luisa García (1 shared paper)Devin M. Barry (1 shared paper)Veronica J. Garcia (2 shared papers)Dirk M. Bucher (2 shared papers)Joseph L. Ransdell (1 shared paper)
- Journals
- Journal of Neurophysiology (3 papers)Genetics in Medicine (1 paper)eNeuro (1 paper)Neuroscience (1 paper)Cellular and Molecular Life Sciences (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Simone Temporal
10 papers receiving 298 citations
Peers
Comparison fields: 5 of 58
- Cellular and Molecular Neuroscience 191
- Cognitive Neuroscience 103
- Endocrine and Autonomic Systems 26
- Health Informatics 4
- Ecology 46
Countries citing papers authored by Simone Temporal
This map shows the geographic impact of Simone Temporal'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 Simone Temporal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Temporal more than expected).
Fields of papers citing papers by Simone Temporal
This network shows the impact of papers produced by Simone Temporal. 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 Simone Temporal. The network helps show where Simone Temporal may publish in the future.
Co-authors
The 16 scholars most cited alongside Simone Temporal, 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 | 2011 | 78 | |
| 2 | 2014 | 59 | |
| 3 | 2008 | 38 | |
| 4 | 2015 | 31 | |
| 5 | 2019 | 30 | |
| 6 | 2018 | 23 | |
| 7 | 2013 | 20 | |
| 8 | 2010 | 11 | |
| 9 | 2017 | 8 | |
| 10 | 2024 | 3 |
About Simone Temporal
Simone Temporal is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Ecology, Evolution, Behavior and Systematics, having authored 10 papers that have together received 301 indexed citations. Recurring topics across this work include Ion channel regulation and function (5 papers), Neurobiology and Insect Physiology Research (4 papers), Neural dynamics and brain function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Gene Regulatory Network Analysis (1 paper) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (191 citations), Cognitive Neuroscience (103 citations), Endocrine and Autonomic Systems (26 citations), Health Informatics (4 citations) and Ecology (46 citations). Simone Temporal has collaborated with scholars based in United States, France and Japan. Frequent co-authors include David J. Schulz, Olga Khorkova, Jorge Golowasch, Maria Luisa García, Devin M. Barry, Veronica J. Garcia, Dirk M. Bucher, Joseph L. Ransdell, Megan L. Leyrer and Jean A. Gabert. Their work appears in journals such as Journal of Neurophysiology, Genetics in Medicine, eNeuro, Neuroscience and Cellular and Molecular Life Sciences.
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.