Aleksander Dębiński
Impact in
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- Neuropeptides and Animal Physiology
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- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Lipid Membrane Structure and Behavior
Papers in
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- Receptor Mechanisms and Signaling 3
- Protein Structure and Dynamics 2
- Chemical Synthesis and Analysis 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Computational Drug Discovery Methods 3
- Co-authors
- Sławomir Filipek (5 shared papers)Umesh Ghoshdastider (3 shared papers)Dorota Latek (3 shared papers)Bartosz Trzaskowski (2 shared papers)Shuguang Yuan (2 shared papers)Sebastian Kmiecik (3 shared papers)Mateusz Kurciński (3 shared papers)Andrzej Koliński (3 shared papers)
- Journals
- Methods (1 paper)Journal of Molecular Modeling (1 paper)Forests (1 paper)PLoS ONE (1 paper)European Biophysics Journal (1 paper)
- Partner nations
- PolandGermanyUnited States
In The Last Decade
Aleksander Dębiński
10 papers receiving 676 citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 234
- Molecular Biology 528
- Computational Theory and Mathematics 71
- Physiology 19
- Pharmacology 45
Countries citing papers authored by Aleksander Dębiński
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
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-authors
The 25 scholars most cited alongside Aleksander Dębiński, 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 | 2012 | 371 | |
| 2 | 2015 | 116 | |
| 3 | 2011 | 61 | |
| 4 | 2016 | 40 | |
| 5 | 2011 | 28 | |
| 6 | 2012 | 22 | |
| 7 | 2016 | 21 | |
| 8 | 2023 | 16 | |
| 9 | 2012 | 8 | |
| 10 | 2016 | 1 |
About Aleksander Dębiński
Aleksander Dębiński is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Materials Chemistry, having authored 10 papers that have together received 684 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Receptor Mechanisms and Signaling (3 papers), Enzyme Structure and Function (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Chemical Synthesis and Analysis (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (234 citations), Molecular Biology (528 citations), Computational Theory and Mathematics (71 citations), Physiology (19 citations) and Pharmacology (45 citations). Aleksander Dębiński has collaborated with scholars based in Poland, Germany and United States. Frequent co-authors include Sławomir Filipek, Umesh Ghoshdastider, Dorota Latek, Bartosz Trzaskowski, Shuguang Yuan, Sebastian Kmiecik, Mateusz Kurciński, Andrzej Koliński, Maksim Kouza and Łukasz Wieteska. Their work appears in journals such as Methods, Journal of Molecular Modeling, Forests, PLoS ONE and European Biophysics Journal.
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.