Andrzej Bąk
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 5%
Papers in
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- Protein Structure and Dynamics 7
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- Computational Drug Discovery Methods 30
- Co-authors
- Jarosław Polański (26 shared papers)Violetta Kozik (39 shared papers)Rafał Gieleciak (9 shared papers)Adam Smoliński (23 shared papers)Josef Jampílek (30 shared papers)Arshad Kudrolli (1 shared paper)J. P. Gollub (1 shared paper)Satoru Nasuno (1 shared paper)
In The Last Decade
Andrzej Bąk
91 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Computational Theory and Mathematics 399
- Toxicology 65
- Organic Chemistry 387
- Process Chemistry and Technology 32
- Spectroscopy 137
Countries citing papers authored by Andrzej Bąk
This map shows the geographic impact of Andrzej Bąk'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 Andrzej Bąk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrzej Bąk more than expected).
Fields of papers citing papers by Andrzej Bąk
This network shows the impact of papers produced by Andrzej Bąk. 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 Andrzej Bąk. The network helps show where Andrzej Bąk may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrzej Bąk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 170 | |
| 2 | 2005 | 68 | |
| 3 | 2015 | 57 | |
| 4 | 2012 | 47 | |
| 5 | 2007 | 41 | |
| 6 | 2005 | 37 | |
| 7 | 2002 | 32 | |
| 8 | 2018 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2018 | 29 | |
| 12 | 2020 | 26 | |
| 13 | 2004 | 26 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2004 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2016 | 20 | |
| 20 | 2014 | 20 |
About Andrzej Bąk
Andrzej Bąk is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Materials Chemistry and Spectroscopy, having authored 95 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (30 papers), Analytical Chemistry and Chromatography (12 papers), Liquid Crystal Research Advancements (11 papers), Synthesis and biological activity (10 papers), Material Dynamics and Properties (8 papers), Protein Structure and Dynamics (7 papers), Quinazolinone synthesis and applications (5 papers) and Free Radicals and Antioxidants (5 papers). The work is most often cited by research in Computational Theory and Mathematics (399 citations), Toxicology (65 citations), Organic Chemistry (387 citations), Process Chemistry and Technology (32 citations) and Spectroscopy (137 citations). Andrzej Bąk has collaborated with scholars based in Poland, Slovakia and Czechia. Frequent co-authors include Jarosław Polański, Violetta Kozik, Rafał Gieleciak, Adam Smoliński, Josef Jampílek, Arshad Kudrolli, J. P. Gollub, Satoru Nasuno, Tomasz Magdziarz and Krzysztof Barbusiński. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Materials, Combinatorial Chemistry & High Throughput Screening and Energies.
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.