Małgorzata Urbańska
- Developmental Neuroscience top 10%
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- Neuroscience and Neuropharmacology Research 7
- Cell Biology top 10%
- Microtubule and mitosis dynamics 2
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- PI3K/AKT/mTOR signaling in cancer 4
- Protein Kinase Regulation and GTPase Signaling 3
- Wnt/β-catenin signaling in development and cancer 3
- RNA Interference and Gene Delivery 2
- Ion channel regulation and function 2
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- Tuberous Sclerosis Complex Research 2
- Co-authors
- Jacek JaworskiLukasz SwiechMagdalena BłażejczykAgata GóźdźAnna R. MalikMatylda MaciasIwona A. CymermanAgnieszka Skalecka
- Partner nations
- PolandUnited StatesBelgium
In The Last Decade
Małgorzata Urbańska
19 papers receiving 677 citations
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 68
- Cellular and Molecular Neuroscience 233
- Cell Biology 132
- Biological Psychiatry 18
- Molecular Biology 413
Countries citing papers authored by Małgorzata Urbańska
This map shows the geographic impact of Małgorzata Urbańska'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 Urbańska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Urbańska more than expected).
Fields of papers citing papers by Małgorzata Urbańska
This network shows the impact of papers produced by Małgorzata Urbańska. 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 Urbańska. The network helps show where Małgorzata Urbańska may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Małgorzata Urbańska, 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 | 2024 | 6 | |
| 2 | 2019 | 35 | |
| 3 | 2018 | 26 | |
| 4 | 2017 | 10 | |
| 5 | 2017 | 18 | |
| 6 | 2017 | 20 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 40 | |
| 9 | 2016 | 14 | |
| 10 | 2015 | 25 | |
| 11 | 2015 | 14 | |
| 12 | 2013 | 38 | |
| 13 | 2012 | 122 | |
| 14 | 2012 | 36 | |
| 15 | 2012 | 30 | |
| 16 | 2011 | 45 | |
| 17 | 2011 | 76 | |
| 18 | 2008 | 95 | |
| 19 | A search for antitumor compounds. VI. Biologic studies. Antitumor properties of 29 new acridine derivatives of groups 17-18. | 1969 | 7 |
About Małgorzata Urbańska
Małgorzata Urbańska is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Cell Biology, having authored 19 papers that have together received 686 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Tuberous Sclerosis Complex Research (2 papers), RNA Interference and Gene Delivery (2 papers), Microtubule and mitosis dynamics (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Developmental Neuroscience (68 citations), Cellular and Molecular Neuroscience (233 citations) and Cell Biology (132 citations). Małgorzata Urbańska has collaborated with scholars based in Poland, United States and Belgium. Frequent co-authors include Jacek Jaworski, Lukasz Swiech, Magdalena Błażejczyk, Agata Góźdź, Anna R. Malik, Matylda Macias, Iwona A. Cymerman, Agnieszka Skalecka, Małgorzata Perycz and Herman Devijver.
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.