Katalin Ócsai
Impact in
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- Neuroscience and Neuropharmacology Research
- Photoreceptor and optogenetics research
- Neuroscience and Neural Engineering
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 5
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- Memory and Neural Mechanisms 3
- Neural dynamics and brain function 3
- Co-authors
- Balázs Rózsa (6 shared papers)Attila Losonczy (2 shared papers)Balázs Chiovini (5 shared papers)Satoshi Terada (2 shared papers)Gergely Katona (4 shared papers)Gergely Szalay (5 shared papers)Spyridon Chavlis (1 shared paper)Grigorios Tsagkatakis (1 shared paper)
- Journals
- Neuron (2 papers)Nature Methods (1 paper)Nature Communications (1 paper)Nature (1 paper)eLife (1 paper)
- Partner nations
- HungaryUnited StatesSwitzerland
In The Last Decade
Katalin Ócsai
7 papers receiving 206 citations
Peers
Comparison fields: 5 of 42
- Cellular and Molecular Neuroscience 143
- Cognitive Neuroscience 124
- Biophysics 34
- Neurology 21
- Sensory Systems 10
Countries citing papers authored by Katalin Ócsai
This map shows the geographic impact of Katalin Ócsai'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 Katalin Ócsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Ócsai more than expected).
Fields of papers citing papers by Katalin Ócsai
This network shows the impact of papers produced by Katalin Ócsai. 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 Katalin Ócsai. The network helps show where Katalin Ócsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Katalin Ócsai, 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 | 2020 | 83 | |
| 2 | 2016 | 68 | |
| 3 | 2022 | 26 | |
| 4 | 2024 | 15 | |
| 5 | 2022 | 11 | |
| 6 | 2015 | 2 | |
| 7 | 2024 | 1 | |
| 8 | Identification of Structural Changes Caused by Weed Infection in Agriculture by Optical and Radar Data | 2011 | 1 |
About Katalin Ócsai
Katalin Ócsai is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Biophysics, Molecular Biology and Sensory Systems, having authored 8 papers that have together received 207 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Memory and Neural Mechanisms (3 papers), Neural dynamics and brain function (3 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Zebrafish Biomedical Research Applications (1 paper), Smart Agriculture and AI (1 paper) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (143 citations), Cognitive Neuroscience (124 citations), Biophysics (34 citations), Neurology (21 citations) and Sensory Systems (10 citations). Katalin Ócsai has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Balázs Rózsa, Attila Losonczy, Balázs Chiovini, Satoshi Terada, Gergely Katona, Gergely Szalay, Spyridon Chavlis, Grigorios Tsagkatakis, Panayiota Poirazi and Panagiotis Tsakalides. Their work appears in journals such as Neuron, Nature Methods, Nature Communications, Nature 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.