Dániel Schlingloff
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Cognitive Neuroscience top 5%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Sleep and Wakefulness Research
Papers in
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- Neuroscience and Neuropharmacology Research 9
- Photoreceptor and optogenetics research 3
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- Neural dynamics and brain function 5
- Memory and Neural Mechanisms 5
- Sleep and Wakefulness Research 1
- Co-authors
- Tamás F. Freund (9 shared papers)Attila I. Gulyás (7 shared papers)Szabolcs Káli (3 shared papers)Norbert Hájos (2 shared papers)Gábor Nyíri (4 shared papers)Katalin E. Sos (3 shared papers)András Szőnyi (3 shared papers)Balázs Pósfai (2 shared papers)
- Journals
- Nature Communications (3 papers)Science (2 papers)Journal of Neuroscience (2 papers)Cell Reports (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- HungarySpainUnited States
In The Last Decade
Dániel Schlingloff
9 papers receiving 566 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 408
- Cognitive Neuroscience 371
- Neurology 59
- Behavioral Neuroscience 25
- Developmental Neuroscience 24
Countries citing papers authored by Dániel Schlingloff
This map shows the geographic impact of Dániel Schlingloff'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 Dániel Schlingloff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Schlingloff more than expected).
Fields of papers citing papers by Dániel Schlingloff
This network shows the impact of papers produced by Dániel Schlingloff. 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 Dániel Schlingloff. The network helps show where Dániel Schlingloff may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Schlingloff, 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 | 2014 | 187 | |
| 2 | 2018 | 113 | |
| 3 | 2019 | 75 | |
| 4 | 2019 | 61 | |
| 5 | 2020 | 55 | |
| 6 | 2016 | 49 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 0 |
About Dániel Schlingloff
Dániel Schlingloff is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Developmental Neuroscience, Molecular Biology and Social Psychology, having authored 10 papers that have together received 575 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Neural dynamics and brain function (5 papers), Memory and Neural Mechanisms (5 papers), Photoreceptor and optogenetics research (3 papers), Nicotinic Acetylcholine Receptors Study (2 papers), Sleep and Wakefulness Research (1 paper), Neuroendocrine regulation and behavior (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (408 citations), Cognitive Neuroscience (371 citations), Neurology (59 citations), Behavioral Neuroscience (25 citations) and Developmental Neuroscience (24 citations). Dániel Schlingloff has collaborated with scholars based in Hungary, Spain and United States. Frequent co-authors include Tamás F. Freund, Attila I. Gulyás, Szabolcs Káli, Norbert Hájos, Gábor Nyíri, Katalin E. Sos, András Szőnyi, Balázs Pósfai, Virág T. Takács and Viktor Varga. Their work appears in journals such as Nature Communications, Science, Journal of Neuroscience, Cell Reports and The Journal of Physiology.
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.