Małgorzata Jasińska
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Endocrine and Autonomic Systems top 10%
- Oncology
- Co-authors
- Ewa Jasek-GajdaGrzegorz LisElżbieta PyzaJan A. LitwinHalina JurkowskaMałgorzata KossutEwa SiucińskaStanislaw Glazewski
- Topics
- Photoreceptor and optogenetics research (8 papers)Neuroscience and Neuropharmacology Research (8 papers)Neural dynamics and brain function (7 papers)
- Partner nations
- PolandUnited KingdomUnited States
In The Last Decade
Małgorzata Jasińska
31 papers receiving 369 citations
Peers
Comparison fields: 5 of 80
- Cellular and Molecular Neuroscience 149
- Molecular Biology 139
- Cognitive Neuroscience 112
- Endocrine and Autonomic Systems 58
- Oncology 31
Countries citing papers authored by Małgorzata Jasińska
This map shows the geographic impact of Małgorzata Jasińska'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 Małgorzata Jasińska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Jasińska more than expected).
Fields of papers citing papers by Małgorzata Jasińska
This network shows the impact of papers produced by Małgorzata Jasińska. 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 Małgorzata Jasińska. The network helps show where Małgorzata Jasińska may publish in the future.
Co-authorship network of co-authors of Małgorzata Jasińska
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Jasińska. A scholar is included among the top collaborators of Małgorzata Jasińska 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 Małgorzata Jasińska. Małgorzata Jasińska 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 | 0 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 18 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | Elevated serum osteoprotegerin is associated with decreased osteoclastic differentiation in stenotic aortic valves. | 7 |
| 17 | 14 | |
| 18 | 17 | |
| 19 | 15 | |
| 20 | Kardiochirurgia dorosłych Polish ventricular assist device (POLVAD) support for the treatment of cardiogenic shock in patients with myocarditis | 1 |
About Małgorzata Jasińska
Małgorzata Jasińska is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 37 papers that have together received 373 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (8 papers), Neuroscience and Neuropharmacology Research (8 papers) and Neural dynamics and brain function (7 papers). The work is most often cited by research in Endocrine and Autonomic Systems (58 citations), Cellular and Molecular Neuroscience (149 citations) and Cognitive Neuroscience (112 citations). Małgorzata Jasińska has collaborated with scholars based in Poland, United Kingdom and United States. Frequent co-authors include Ewa Jasek-Gajda, Grzegorz Lis, Elżbieta Pyza, Jan A. Litwin, Halina Jurkowska, Małgorzata Kossut, Ewa Siucińska, Stanislaw Glazewski, David N. Furness and Anita Cybulska-Kłosowicz. Their work appears in journals such as Journal of Neuroscience, PLoS ONE and Scientific Reports.
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.