Bożena Gabryel
- Molecular Biology
- Neurology top 5%
- Physiology top 10%
- Epidemiology
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Krzysztof ŁabuzekSebastian LiberBogusław OkopieńAnna BieleckaAndrzej MałeckiDariusz SuchyHenryk I. TrzeciakAnna Pudełko
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (15 papers)Neuroscience and Neuropharmacology Research (8 papers)Autophagy in Disease and Therapy (7 papers)
In The Last Decade
Bożena Gabryel
54 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 472
- Neurology 289
- Physiology 224
- Epidemiology 185
- Cellular and Molecular Neuroscience 180
Countries citing papers authored by Bożena Gabryel
This map shows the geographic impact of Bożena Gabryel'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 Bożena Gabryel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bożena Gabryel more than expected).
Fields of papers citing papers by Bożena Gabryel
This network shows the impact of papers produced by Bożena Gabryel. 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 Bożena Gabryel. The network helps show where Bożena Gabryel may publish in the future.
Co-authorship network of co-authors of Bożena Gabryel
This figure shows the co-authorship network connecting the top 25 collaborators of Bożena Gabryel. A scholar is included among the top collaborators of Bożena Gabryel 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 Bożena Gabryel. Bożena Gabryel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 26 | |
| 5 | Koncepcja niestabilnej blaszki miażdżycowej i farmakologiczne strategie terapeutyczne | 2 |
| 6 | 12 | |
| 7 | 25 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 33 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 340 | |
| 14 | 7 | |
| 15 | Disturbances of the Wnt signalling pathway in the pathogenesis of schizophrenia | 1 |
| 16 | 16 | |
| 17 | 7 | |
| 18 | 22 | |
| 19 | 35 | |
| 20 | Effects of coal dusts with different concentrations of metals on structure, hepatocellular enzymatic markers, and cytochrome P-450-dependent monooxygenase system in rat liver | 0 |
About Bożena Gabryel
Bożena Gabryel is a scholar working on Physiology, Neurology and Biological Psychiatry, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (15 papers), Neuroscience and Neuropharmacology Research (8 papers) and Autophagy in Disease and Therapy (7 papers). The work is most often cited by research in Neurology (289 citations), Biological Psychiatry (70 citations) and Developmental Neuroscience (70 citations). Bożena Gabryel has collaborated with scholars based in Poland and Czechia. Frequent co-authors include Krzysztof Łabuzek, Sebastian Liber, Bogusław Okopień, Anna Bielecka, Andrzej Małecki, Dariusz Suchy, Henryk I. Trzeciak, Anna Pudełko, Zbigniew S. Herman and Jan Kowalski. Their work appears in journals such as Molecules, European Journal of Pharmacology and Naunyn-Schmiedeberg s Archives of Pharmacology.
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.