Daniel Žucha
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
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- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Single-cell and spatial transcriptomics 5
- Advanced biosensing and bioanalysis techniques 2
- Molecular Biology Techniques and Applications 2
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- Neuroinflammation and Neurodegeneration Mechanisms 5
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- Lukáš Valihrach (13 shared papers)Mikael Kubista (11 shared papers)Pavel Abaffy (9 shared papers)Peter Androvic (4 shared papers)Miroslava Anděrová (6 shared papers)Denisa Kirdajová (4 shared papers)Ján Kriška (3 shared papers)Jana Turečková (2 shared papers)
In The Last Decade
Daniel Žucha
14 papers receiving 264 citations
Peers
Comparison fields: 5 of 58
- Neurology 102
- Developmental Neuroscience 27
- Sensory Systems 13
- Immunology 53
- Cancer Research 29
Countries citing papers authored by Daniel Žucha
This map shows the geographic impact of Daniel Žucha'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 Daniel Žucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Žucha more than expected).
Fields of papers citing papers by Daniel Žucha
This network shows the impact of papers produced by Daniel Žucha. 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 Daniel Žucha. The network helps show where Daniel Žucha may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Žucha, 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 | 69 | |
| 2 | 2019 | 32 | |
| 3 | 2023 | 27 | |
| 4 | 2018 | 25 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 20 | |
| 7 | 2023 | 14 | |
| 8 | 2024 | 13 | |
| 9 | 2024 | 11 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 7 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 1 |
About Daniel Žucha
Daniel Žucha is a scholar working on Molecular Biology, Neurology, Immunology, Cancer Research and Surgery, having authored 14 papers that have together received 264 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), MicroRNA in disease regulation (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Pancreatic function and diabetes (2 papers), Molecular Biology Techniques and Applications (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Neurology (102 citations), Developmental Neuroscience (27 citations), Sensory Systems (13 citations), Immunology (53 citations) and Cancer Research (29 citations). Daniel Žucha has collaborated with scholars based in Czechia, Sweden and Germany. Frequent co-authors include Lukáš Valihrach, Mikael Kubista, Pavel Abaffy, Peter Androvic, Miroslava Anděrová, Denisa Kirdajová, Ján Kriška, Jana Turečková, Daniel Jirák and R. Bryan Klassen. Their work appears in journals such as Clinical Chemistry, Glia, Frontiers in Aging Neuroscience, Neuroscience and Nature Communications.
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.