Justyna Prusińska

441 total citations
11 papers, 206 citations indexed

About

Justyna Prusińska is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Justyna Prusińska has authored 11 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Plant Science and 2 papers in Genetics. Recurrent topics in Justyna Prusińska's work include Plant Molecular Biology Research (5 papers), Photosynthetic Processes and Mechanisms (3 papers) and Plant Reproductive Biology (3 papers). Justyna Prusińska is often cited by papers focused on Plant Molecular Biology Research (5 papers), Photosynthetic Processes and Mechanisms (3 papers) and Plant Reproductive Biology (3 papers). Justyna Prusińska collaborates with scholars based in United Kingdom, Poland and Japan. Justyna Prusińska's co-authors include Richard Napier, Grażyna B. Dąbrowska, Anna Goc, Mussa Quareshy, Justyna Boniecka, Jun Li, Ken‐ichiro Hayashi, Marta Lenartowska, Paul R. Schmitzer and Stefan Kepinski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Journal of Experimental Botany.

In The Last Decade

Justyna Prusińska

11 papers receiving 206 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Justyna Prusińska 144 125 19 14 12 11 206
Przemysław Jagodzik 254 1.8× 126 1.0× 5 0.3× 9 0.6× 16 1.3× 9 312
Romana Kopecká 248 1.7× 137 1.1× 9 0.5× 12 0.9× 7 0.6× 9 303
Beata Prabucka 243 1.7× 97 0.8× 14 0.7× 8 0.6× 8 0.7× 25 283
Wenqiang Jiang 254 1.8× 170 1.4× 4 0.2× 14 1.0× 9 0.8× 17 311
Erkui Yue 322 2.2× 213 1.7× 10 0.5× 26 1.9× 11 0.9× 22 375
Romain Schellenberger 222 1.5× 63 0.5× 14 0.7× 4 0.3× 11 0.9× 6 272
Yajin Ye 279 1.9× 159 1.3× 6 0.3× 17 1.2× 4 0.3× 23 342
Waqar Afzal Malik 265 1.8× 206 1.6× 5 0.3× 6 0.4× 7 0.6× 22 345
Sandep Yadav 313 2.2× 143 1.1× 4 0.2× 14 1.0× 6 0.5× 9 366
Yun Shang 394 2.7× 198 1.6× 8 0.4× 12 0.9× 27 2.3× 16 456

Countries citing papers authored by Justyna Prusińska

Since Specialization
Citations

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

Fields of papers citing papers by Justyna Prusińska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Justyna Prusińska

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

All Works

11 of 11 papers shown
1.
Kalverda, Arnout P., Iain W. Manfield, Gary S. Thompson, et al.. (2023). Intrinsic disorder and conformational coexistence in auxin coreceptors. Proceedings of the National Academy of Sciences. 120(40). e2221286120–e2221286120. 5 indexed citations
2.
Prusińska, Justyna, et al.. (2022). The differential binding and biological efficacy of auxin herbicides. Pest Management Science. 79(4). 1305–1315. 12 indexed citations
3.
Prusińska, Justyna, Justyna Boniecka, Grażyna B. Dąbrowska, & Anna Goc. (2019). Identification and characterization of the Ipomoea nil RelA/SpoT Homologs (InRSHs) and potential directions of their transcriptional regulation. Plant Science. 284. 161–176. 8 indexed citations
4.
Ishimaru, Yasuhiro, Takeshi Suzuki, Hidehiro Fukaki, et al.. (2018). Jasmonic Acid Inhibits Auxin-Induced Lateral Rooting Independently of the CORONATINE INSENSITIVE1 Receptor. PLANT PHYSIOLOGY. 177(4). 1704–1716. 36 indexed citations
5.
Quareshy, Mussa, Justyna Prusińska, Martin Kieffer, et al.. (2018). The Tetrazole Analogue of the Auxin Indole-3-acetic Acid Binds Preferentially to TIR1 and Not AFB5. ACS Chemical Biology. 13(9). 2585–2594. 17 indexed citations
6.
Quareshy, Mussa, Justyna Prusińska, Jun Li, & Richard Napier. (2017). A cheminformatics review of auxins as herbicides. Journal of Experimental Botany. 69(2). 265–275. 46 indexed citations
7.
Boniecka, Justyna, Justyna Prusińska, Grażyna B. Dąbrowska, & Anna Goc. (2017). Within and beyond the stringent response-RSH and (p)ppGpp in plants. Planta. 246(5). 817–842. 44 indexed citations
8.
Quareshy, Mussa, et al.. (2016). Assaying Auxin Receptor Activity Using SPR Assays with F-Box Proteins and Aux/IAA Degrons. Methods in molecular biology. 1497. 159–191. 9 indexed citations
9.
10.
Dąbrowska, Grażyna B., Justyna Prusińska, & Anna Goc. (2006). [Plant mechanism of an adaptive stress response homologous to bacterial stringent response].. PubMed. 52(1). 94–100. 8 indexed citations
11.
Dąbrowska, Grażyna B., Justyna Prusińska, & Anna Goc. (2006). [The stringent response--bacterial mechanism of an adaptive stress response].. PubMed. 52(1). 87–93. 8 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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2026