Anna Gąsiorowska
- Cellular and Molecular Neuroscience top 5%
- Physiology top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Neurology top 10%
- Co-authors
- Wiktor NiewiadomskiGrażyna NiewiadomskaEwelina PałaszAdrianna WysockaMałgorzata ChalimoniukGerard CybulskiMarta SteczkowskaJózef Langfort
- Topics
- Heart Rate Variability and Autonomic Control (14 papers)Alzheimer's disease research and treatments (6 papers)Neuroscience and Neuropharmacology Research (6 papers)
- Journals
- Scientific ReportsFree Radical Biology and MedicineInternational Journal of Molecular Sciences
- Partner nations
- PolandUnited KingdomGermany
In The Last Decade
Anna Gąsiorowska
37 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cellular and Molecular Neuroscience 316
- Physiology 232
- Molecular Biology 210
- Cardiology and Cardiovascular Medicine 190
- Neurology 180
Countries citing papers authored by Anna Gąsiorowska
This map shows the geographic impact of Anna Gąsiorowska'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 Anna Gąsiorowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Gąsiorowska more than expected).
Fields of papers citing papers by Anna Gąsiorowska
This network shows the impact of papers produced by Anna Gąsiorowska. 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 Anna Gąsiorowska. The network helps show where Anna Gąsiorowska may publish in the future.
Co-authorship network of co-authors of Anna Gąsiorowska
This figure shows the co-authorship network connecting the top 25 collaborators of Anna Gąsiorowska. A scholar is included among the top collaborators of Anna Gąsiorowska 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 Anna Gąsiorowska. Anna Gąsiorowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 92 | |
| 4 | 118 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | BDNF as a Promising Therapeutic Agent in Parkinson’s Diseasebreakdown → | 363 |
| 8 | 31 | |
| 9 | 6 | |
| 10 | 64 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 7 | |
| 16 | 12 | |
| 17 | 43 | |
| 18 | 27 | |
| 19 | 12 | |
| 20 | 11 |
About Anna Gąsiorowska
Anna Gąsiorowska is a scholar working on Complementary and alternative medicine, Cardiology and Cardiovascular Medicine and Orthopedics and Sports Medicine, having authored 40 papers that have together received 1.1k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (14 papers), Alzheimer's disease research and treatments (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Developmental Neuroscience (99 citations), Biological Psychiatry (56 citations) and Cellular and Molecular Neuroscience (316 citations). Anna Gąsiorowska has collaborated with scholars based in Poland, United Kingdom and Germany. Frequent co-authors include Wiktor Niewiadomski, Grażyna Niewiadomska, Ewelina Pałasz, Adrianna Wysocka, Małgorzata Chalimoniuk, Gerard Cybulski, Marta Steczkowska, Józef Langfort, Anna Mietelska‐Porowska and Anna Mróz. Their work appears in journals such as Scientific Reports, Free Radical Biology and Medicine and International Journal of Molecular Sciences.
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.