Aleksander Dębiński

891 total citations
10 papers, 675 citations indexed

About

Aleksander Dębiński is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Aleksander Dębiński has authored 10 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Aleksander Dębiński's work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers) and Chemical Synthesis and Analysis (2 papers). Aleksander Dębiński is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers) and Chemical Synthesis and Analysis (2 papers). Aleksander Dębiński collaborates with scholars based in Poland, Germany and United States. Aleksander Dębiński's co-authors include Sławomir Filipek, Dorota Latek, Umesh Ghoshdastider, Shuguang Yuan, Bartosz Trzaskowski, Mateusz Kurciński, Sebastian Kmiecik, Andrzej Koliński, Łukasz Wieteska and Maksim Kouza and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biophysical Journal.

In The Last Decade

Aleksander Dębiński

10 papers receiving 665 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aleksander Dębiński Poland 9 540 238 79 56 54 10 675
Lorena A. Kallal United States 13 732 1.4× 291 1.2× 58 0.7× 75 1.3× 56 1.0× 25 895
Isabelle Huvent France 21 779 1.4× 127 0.5× 45 0.6× 40 0.7× 98 1.8× 38 1.2k
James R. Valcourt United States 4 456 0.8× 161 0.7× 82 1.0× 52 0.9× 33 0.6× 6 537
Bertil Macao Sweden 17 942 1.7× 74 0.3× 124 1.6× 69 1.2× 84 1.6× 26 1.2k
Joel Karpiak United States 13 729 1.4× 330 1.4× 224 2.8× 100 1.8× 59 1.1× 14 991
Abhiram Dukkipati United States 11 534 1.0× 222 0.9× 32 0.4× 104 1.9× 131 2.4× 12 723
Robin Hurst United States 17 848 1.6× 252 1.1× 27 0.3× 97 1.7× 101 1.9× 34 1.1k
W. Mei Kok Australia 14 448 0.8× 61 0.3× 69 0.9× 50 0.9× 61 1.1× 20 729
Daniela Bertinetti Germany 20 816 1.5× 151 0.6× 22 0.3× 26 0.5× 59 1.1× 41 1.0k
Deborah Heyl United States 18 836 1.5× 255 1.1× 45 0.6× 12 0.2× 59 1.1× 48 1.0k

Countries citing papers authored by Aleksander Dębiński

Since Specialization
Citations

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

Fields of papers citing papers by Aleksander Dębiński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aleksander Dębiński

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

All Works

10 of 10 papers shown
1.
Dębiński, Aleksander, et al.. (2023). Influence of Upcycled Post-Treatment Bark Biomass Addition to the Binder on Produced Plywood Properties. Forests. 14(1). 110–110. 15 indexed citations
3.
Ciemny, Maciej Paweł, Aleksander Dębiński, Marta Paczkowska, et al.. (2016). Protein-peptide molecular docking with large-scale conformational changes: the p53-MDM2 interaction. Scientific Reports. 6(1). 37532–37532. 40 indexed citations
4.
Kouza, Maksim, Maciej Błaszczyk, Mateusz Kurciński, et al.. (2016). Protein-Peptide Docking with High Conformational Flexibility using CABS-dock Web Tool. Biophysical Journal. 110(3). 543a–543a. 1 indexed citations
5.
Błaszczyk, Maciej, Mateusz Kurciński, Maksim Kouza, et al.. (2015). Modeling of protein–peptide interactions using the CABS-dock web server for binding site search and flexible docking. Methods. 93. 72–83. 115 indexed citations
6.
Yuan, Shuguang, Umesh Ghoshdastider, Bartosz Trzaskowski, et al.. (2012). The Role of Water in Activation Mechanism of Human N-Formyl Peptide Receptor 1 (FPR1) Based on Molecular Dynamics Simulations. PLoS ONE. 7(11). e47114–e47114. 21 indexed citations
7.
Filipek, Sławomir, et al.. (2012). Low-temperature molecular dynamics simulations of horse heart cytochrome c and comparison with inelastic neutron scattering data. European Biophysics Journal. 42(4). 291–300. 8 indexed citations
8.
Trzaskowski, Bartosz, Dorota Latek, Shuguang Yuan, et al.. (2012). Action of Molecular Switches in GPCRs - Theoretical and Experimental Studies. Current Medicinal Chemistry. 19(8). 1090–1109. 365 indexed citations
9.
Latek, Dorota, Michał Koliński, Umesh Ghoshdastider, et al.. (2011). Modeling of ligand binding to G protein coupled receptors: cannabinoid CB1, CB2 and adrenergic β2AR. Journal of Molecular Modeling. 17(9). 2353–2366. 28 indexed citations
10.
Jastrzębska, Beata, Aleksander Dębiński, Sławomir Filipek, & Krzysztof Palczewski. (2011). Role of membrane integrity on G protein-coupled receptors: Rhodopsin stability and function. Progress in Lipid Research. 50(3). 267–277. 61 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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