Katalin Czöndör
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- Neuroscience and Neuropharmacology Research 8
- Photoreceptor and optogenetics research 2
- Neuroscience and Neural Engineering 2
- Biophysics top 10%
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- Neurogenesis and neuroplasticity mechanisms 2
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- Lipid Membrane Structure and Behavior 4
- Retinal Development and Disorders 2
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- Neuroinflammation and Neurodegeneration Mechanisms 3
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- Force Microscopy Techniques and Applications 1
- Co-authors
- Olivier ThoumineBéatrice TessierMagali MondinDaniel ChoquetGrégory GiannoneMatthieu SainlosKatalin SchlettJean‐Baptiste Sibarita
- Journals
- Molecular Biology of the Cell (2 papers)Nature Communications (2 papers)Cell Reports (1 paper)
- Partner nations
- FranceHungarySwitzerland
In The Last Decade
Katalin Czöndör
10 papers receiving 357 citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 250
- Biophysics 36
- Developmental Neuroscience 25
- Cell Biology 90
- Structural Biology 6
Countries citing papers authored by Katalin Czöndör
This map shows the geographic impact of Katalin Czöndör'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 Czöndör with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin Czöndör more than expected).
Fields of papers citing papers by Katalin Czöndör
This network shows the impact of papers produced by Katalin Czöndör. 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 Czöndör. The network helps show where Katalin Czöndör may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Katalin Czöndör, 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 | 2018 | 43 | |
| 2 | 2016 | 2 | |
| 3 | 2015 | 28 | |
| 4 | 2013 | 68 | |
| 5 | 2013 | 53 | |
| 6 | 2012 | 15 | |
| 7 | 2012 | 83 | |
| 8 | 2009 | 42 | |
| 9 | 2007 | 20 | |
| 10 | 2005 | 5 |
About Katalin Czöndör
Katalin Czöndör is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Physiology and Cell Biology, having authored 10 papers that have together received 359 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Lipid Membrane Structure and Behavior (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Retinal Development and Disorders (2 papers), Photoreceptor and optogenetics research (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neuroscience and Neural Engineering (2 papers) and Force Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (250 citations), Biophysics (36 citations), Developmental Neuroscience (25 citations), Cell Biology (90 citations) and Structural Biology (6 citations). Katalin Czöndör has collaborated with scholars based in France, Hungary and Switzerland. Frequent co-authors include Olivier Thoumine, Béatrice Tessier, Magali Mondin, Daniel Choquet, Grégory Giannone, Matthieu Sainlos, Katalin Schlett, Jean‐Baptiste Sibarita, Martin Heine and Renato Frischknecht. Their work appears in journals such as Molecular Biology of the Cell, Nature Communications, Cell Reports, Proceedings of the National Academy of Sciences and Journal of Neurochemistry.
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.