Beata Duszyńska

102 total papers · 1.5k total citations
76 papers, 1.3k citations indexed

About

Beata Duszyńska is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Beata Duszyńska has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Organic Chemistry, 55 papers in Molecular Biology and 27 papers in Cellular and Molecular Neuroscience. Recurrent topics in Beata Duszyńska's work include Synthesis and Biological Evaluation (40 papers), Neurotransmitter Receptor Influence on Behavior (22 papers) and Receptor Mechanisms and Signaling (22 papers). Beata Duszyńska is often cited by papers focused on Synthesis and Biological Evaluation (40 papers), Neurotransmitter Receptor Influence on Behavior (22 papers) and Receptor Mechanisms and Signaling (22 papers). Beata Duszyńska collaborates with scholars based in Poland, France and United States. Beata Duszyńska's co-authors include Andrzej J. Bojarski, Maciej Pawłowski, E Tatarczyńska, E Chojnacka-Wójcik, Jerzy L. Mokrosz, Paweł Zajdel, Maria J. Mokrosz, Maria H. Paluchowska, Grzegorz Satała and Aleksandra Kłodzińska and has published in prestigious journals such as International Journal of Molecular Sciences, Journal of Medicinal Chemistry and Molecules.

In The Last Decade

Beata Duszyńska

74 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Beata Duszyńska 766 687 369 105 105 76 1.3k
Jean‐Jacques Bourguignon 656 0.9× 797 1.2× 420 1.1× 166 1.6× 91 0.9× 83 1.7k
Paweł Zajdel 854 1.1× 694 1.0× 394 1.1× 258 2.5× 71 0.7× 94 1.6k
Mark Froimowitz 644 0.8× 296 0.4× 463 1.3× 97 0.9× 178 1.7× 54 1.2k
Anette M. Johansson 939 1.2× 388 0.6× 696 1.9× 93 0.9× 81 0.8× 62 1.6k
Emmanuel Pinard 542 0.7× 384 0.6× 320 0.9× 143 1.4× 38 0.4× 44 1.3k
Fabrizio Micheli 645 0.8× 582 0.8× 423 1.1× 71 0.7× 78 0.7× 68 1.2k
Serge Halazy 682 0.9× 739 1.1× 225 0.6× 49 0.5× 68 0.6× 70 1.4k
Henryk Marona 616 0.8× 460 0.7× 326 0.9× 246 2.3× 86 0.8× 135 1.7k
Romano Di Fabio 606 0.8× 901 1.3× 336 0.9× 132 1.3× 85 0.8× 104 1.6k
Bellinda Benhamú 1.0k 1.3× 595 0.9× 447 1.2× 158 1.5× 89 0.8× 60 1.6k

Countries citing papers authored by Beata Duszyńska

Since Specialization
Citations

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

Fields of papers citing papers by Beata Duszyńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beata Duszyńska

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

All Works

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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