Eva Syková
- Cellular and Molecular Neuroscience top 0.1%
- Molecular Biology top 1%
- Genetics top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Developmental Neuroscience top 0.1%
- Co-authors
- Charles NicholsonPavla JendelováŠárka KubinováLýdia VargováAlexandr ChvátalIvan VoříšekMilan HájekLucia Machová Urdzíková
- Topics
- Neuroscience and Neuropharmacology Research (85 papers)Neurogenesis and neuroplasticity mechanisms (53 papers)Mesenchymal stem cell research (46 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeurosciencePhysiological Reviews
- Partner nations
- CzechiaGermanyUnited Kingdom
In The Last Decade
Eva Syková
278 papers receiving 15.2k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cellular and Molecular Neuroscience 6.4k
- Molecular Biology 4.6k
- Genetics 2.3k
- Radiology, Nuclear Medicine and Imaging 2.0k
- Developmental Neuroscience 2.0k
Countries citing papers authored by Eva Syková
This map shows the geographic impact of Eva Syková'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 Eva Syková with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Syková more than expected).
Fields of papers citing papers by Eva Syková
This network shows the impact of papers produced by Eva Syková. 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 Eva Syková. The network helps show where Eva Syková may publish in the future.
Co-authorship network of co-authors of Eva Syková
This figure shows the co-authorship network connecting the top 25 collaborators of Eva Syková. A scholar is included among the top collaborators of Eva Syková 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 Eva Syková. Eva Syková is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 136 | |
| 3 | 44 | |
| 4 | 27 | |
| 5 | 30 | |
| 6 | 28 | |
| 7 | HUMAN FETAL SPINAL STEM CELLS IMPROVE LOCOMOTOR FUNCTION AFTER SPINAL CORD INJURY IN THE RAT | 1 |
| 8 | 20 | |
| 9 | 96 | |
| 10 | 105 | |
| 11 | 16 | |
| 12 | 20 | |
| 13 | 10 | |
| 14 | 79 | |
| 15 | 62 | |
| 16 | 5 | |
| 17 | 29 | |
| 18 | 60 | |
| 19 | 56 | |
| 20 | 228 |
About Eva Syková
Eva Syková is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Genetics, having authored 279 papers that have together received 15.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (85 papers), Neurogenesis and neuroplasticity mechanisms (53 papers) and Mesenchymal stem cell research (46 papers). The work is most often cited by research in Developmental Neuroscience (2.0k citations), Cellular and Molecular Neuroscience (6.4k citations) and Genetics (2.3k citations). Eva Syková has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include Charles Nicholson, Pavla Jendelová, Šárka Kubinová, Lýdia Vargová, Alexandr Chvátal, Ivan Voříšek, Milan Hájek, Lucia Machová Urdzíková, Ladislav Vyklický and Petr Lesný. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and Physiological Reviews.
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.