Justyna Zmorzyńska

704 total citations
9 papers, 402 citations indexed

About

Justyna Zmorzyńska is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Justyna Zmorzyńska has authored 9 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Justyna Zmorzyńska's work include Tuberous Sclerosis Complex Research (4 papers), Zebrafish Biomedical Research Applications (4 papers) and Mast cells and histamine (2 papers). Justyna Zmorzyńska is often cited by papers focused on Tuberous Sclerosis Complex Research (4 papers), Zebrafish Biomedical Research Applications (4 papers) and Mast cells and histamine (2 papers). Justyna Zmorzyńska collaborates with scholars based in Poland, Netherlands and Sweden. Justyna Zmorzyńska's co-authors include Jacek Jaworski, Aleksandra Janusz, Katarzyna Kotulska, Katarzyna Kisielewska, Ewa Liszewska, Anna R. Malik, Bartosz Tarkowski, ‪Siewert J. Marrink, Colette T. Dooley and Georgy Bakalkin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuroscience and Human Molecular Genetics.

In The Last Decade

Justyna Zmorzyńska

8 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Justyna Zmorzyńska Poland 6 209 100 87 76 52 9 402
Rebecca C. Meyer United States 9 307 1.5× 89 0.9× 175 2.0× 68 0.9× 32 0.6× 9 547
Vera Medvedeva United States 8 248 1.2× 92 0.9× 130 1.5× 48 0.6× 60 1.2× 9 451
Alejandro Tobon Italy 13 292 1.4× 157 1.6× 97 1.1× 42 0.6× 118 2.3× 18 556
Dove Keith United States 7 200 1.0× 67 0.7× 169 1.9× 57 0.8× 31 0.6× 10 418
Aswini Gnanasekaran Slovenia 6 220 1.1× 86 0.9× 110 1.3× 36 0.5× 16 0.3× 7 390
Enji Zhang South Korea 11 132 0.6× 157 1.6× 107 1.2× 38 0.5× 24 0.5× 19 388
Andrew Shum United States 9 247 1.2× 100 1.0× 236 2.7× 35 0.5× 30 0.6× 10 525
Stefano Cattaneo Italy 10 203 1.0× 122 1.2× 90 1.0× 39 0.5× 97 1.9× 18 401
Dharshaun Turner United States 9 290 1.4× 160 1.6× 122 1.4× 32 0.4× 47 0.9× 11 481
Fleur Davey United Kingdom 10 217 1.0× 96 1.0× 194 2.2× 56 0.7× 31 0.6× 13 470

Countries citing papers authored by Justyna Zmorzyńska

Since Specialization
Citations

This map shows the geographic impact of Justyna Zmorzyńska'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 Justyna Zmorzyńska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justyna Zmorzyńska more than expected).

Fields of papers citing papers by Justyna Zmorzyńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justyna Zmorzyńska. 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 Justyna Zmorzyńska. The network helps show where Justyna Zmorzyńska may publish in the future.

Co-authorship network of co-authors of Justyna Zmorzyńska

This figure shows the co-authorship network connecting the top 25 collaborators of Justyna Zmorzyńska. A scholar is included among the top collaborators of Justyna Zmorzyńska 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 Justyna Zmorzyńska. Justyna Zmorzyńska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Wnorowski, Artur, et al.. (2025). Exploring the impact of MDMA and oxytocin ligands on anxiety and social responses: A comprehensive behavioural and molecular study in the zebrafish model. Journal of Psychopharmacology. 39(4). 373–393. 1 indexed citations
3.
Zmorzyńska, Justyna, et al.. (2024). Hyperactive mTORC1 disrupts habenula function and light preference in zebrafish model of Tuberous sclerosis complex. iScience. 27(6). 110149–110149. 1 indexed citations
4.
Zmorzyńska, Justyna, et al.. (2024). Diving into the zebrafish brain: exploring neuroscience frontiers with genetic tools, imaging techniques, and behavioral insights. Frontiers in Molecular Neuroscience. 17. 1358844–1358844. 11 indexed citations
5.
Kisielewska, Katarzyna, et al.. (2020). TrkB hyperactivity contributes to brain dysconnectivity, epileptogenesis, and anxiety in zebrafish model of Tuberous Sclerosis Complex. Proceedings of the National Academy of Sciences. 117(4). 2170–2179. 24 indexed citations
6.
Malik, Anna R., et al.. (2017). Adaptor Complex 2 Controls Dendrite Morphology via mTOR-Dependent Expression of GluA2. Molecular Neurobiology. 55(2). 1590–1606. 24 indexed citations
7.
Zmorzyńska, Justyna, Manuel N. Melo, Colette T. Dooley, et al.. (2016). Altered secondary structure of Dynorphin A associates with loss of opioid signalling and NMDA-mediated excitotoxicity in SCA23. Human Molecular Genetics. 25(13). ddw130–ddw130. 11 indexed citations
8.
Kotulska, Katarzyna, et al.. (2016). Molecular neurobiology of mTOR. Neuroscience. 341. 112–153. 300 indexed citations
9.
Kotulska, Katarzyna, et al.. (2016). Tuberous sclerosis complex: From molecular biology to novel therapeutic approaches. IUBMB Life. 68(12). 955–962. 30 indexed citations

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.

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