Ivan Soltesz
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
-
- Neuroscience and Neuropharmacology Research 5
- Photoreceptor and optogenetics research 1
-
- Memory and Neural Mechanisms 2
- Neural dynamics and brain function 1
- Co-authors
- Kang Chen (1 shared paper)Mariam Eghbal-Ahmadi (1 shared paper)Ildikó Aradi (1 shared paper)Niklas Thon (1 shared paper)Tallie Z. Baram (1 shared paper)Zsolt Tóth (1 shared paper)Greg S. Hollrigel (1 shared paper)Tamäs J. Görcs (1 shared paper)
- Journals
- Hippocampus (2 papers)Nature Medicine (1 paper)Journal of Neuroscience (1 paper)eLife (1 paper)
- Partner nations
- United StatesBrazil
In The Last Decade
Ivan Soltesz
6 papers receiving 707 citations
Peers
Comparison fields: 5 of 60
- Cellular and Molecular Neuroscience 544
- Cognitive Neuroscience 314
- Developmental Neuroscience 63
- Psychiatry and Mental health 148
- Neurology 48
Countries citing papers authored by Ivan Soltesz
This map shows the geographic impact of Ivan Soltesz'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 Ivan Soltesz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Soltesz more than expected).
Fields of papers citing papers by Ivan Soltesz
This network shows the impact of papers produced by Ivan Soltesz. 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 Ivan Soltesz. The network helps show where Ivan Soltesz may publish in the future.
Co-authors
The 12 scholars most cited alongside Ivan Soltesz, 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 | 2001 | 344 | |
| 2 | 1997 | 161 | |
| 3 | 2016 | 125 | |
| 4 | Diversity in the Neuronal Machine: Order and Variability in Interneuronal Microcircuits | 2005 | 55 |
| 5 | 1995 | 24 | |
| 6 | 2019 | 7 |
About Ivan Soltesz
Ivan Soltesz is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 6 papers that have together received 716 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (2 papers), Ion channel regulation and function (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Neural dynamics and brain function (1 paper), Neuroscience of respiration and sleep (1 paper), Lipid Membrane Structure and Behavior (1 paper) and Photoreceptor and optogenetics research (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (544 citations), Cognitive Neuroscience (314 citations), Developmental Neuroscience (63 citations), Psychiatry and Mental health (148 citations) and Neurology (48 citations). Ivan Soltesz has collaborated with scholars based in United States and Brazil. Frequent co-authors include Kang Chen, Mariam Eghbal-Ahmadi, Ildikó Aradi, Niklas Thon, Tallie Z. Baram, Zsolt Tóth, Greg S. Hollrigel, Tamäs J. Görcs, Ivan Raikov and Kelly Burk. Their work appears in journals such as Hippocampus, Nature Medicine, Journal of Neuroscience and eLife.
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.