Attila Losonczy
- Cellular and Molecular Neuroscience top 0.1%
- Cognitive Neuroscience top 0.2%
- Molecular Biology top 5%
- Neurology top 1%
- Developmental Neuroscience top 0.5%
- Co-authors
- Jeffrey C. MageeBoris V. ZemelmanGergely F. TuriPatrick KaifoshJudit K. MakaraNathan DanielsonMatthew Lovett-BarronJeffrey D. Zaremba
- Topics
- Neuroscience and Neuropharmacology Research (57 papers)Memory and Neural Mechanisms (43 papers)Neural dynamics and brain function (27 papers)
- Partner nations
- United StatesHungaryUnited Kingdom
In The Last Decade
Attila Losonczy
78 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 5.3k
- Cognitive Neuroscience 4.5k
- Molecular Biology 1.3k
- Neurology 852
- Developmental Neuroscience 560
Countries citing papers authored by Attila Losonczy
This map shows the geographic impact of Attila Losonczy'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 Attila Losonczy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attila Losonczy more than expected).
Fields of papers citing papers by Attila Losonczy
This network shows the impact of papers produced by Attila Losonczy. 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 Attila Losonczy. The network helps show where Attila Losonczy may publish in the future.
Co-authorship network of co-authors of Attila Losonczy
This figure shows the co-authorship network connecting the top 25 collaborators of Attila Losonczy. A scholar is included among the top collaborators of Attila Losonczy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Attila Losonczy. Attila Losonczy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 24 | |
| 3 | 4 | |
| 4 | 9 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 56 | |
| 10 | 23 | |
| 11 | 49 | |
| 12 | 40 | |
| 13 | A zero-inflated gamma model for post-deconvolved calcium imaging traces | 1 |
| 14 | 66 | |
| 15 | 6 | |
| 16 | 82 | |
| 17 | 254 | |
| 18 | 357 | |
| 19 | 129 | |
| 20 | 207 |
About Attila Losonczy
Attila Losonczy is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Developmental Neuroscience, having authored 78 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (57 papers), Memory and Neural Mechanisms (43 papers) and Neural dynamics and brain function (27 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.3k citations), Cognitive Neuroscience (4.5k citations) and Developmental Neuroscience (560 citations). Attila Losonczy has collaborated with scholars based in United States, Hungary and United Kingdom. Frequent co-authors include Jeffrey C. Magee, Boris V. Zemelman, Gergely F. Turi, Patrick Kaifosh, Judit K. Makara, Nathan Danielson, Matthew Lovett-Barron, Jeffrey D. Zaremba, Iván Soltész and György Buzsáki. Their work appears in journals such as Nature, Science and Cell.
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.