Marek Bajda
Impact in
- Pharmacology top 0.5%
- Cholinesterase and Neurodegenerative Diseases
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
- Pharmacology 57
- Cholinesterase and Neurodegenerative Diseases 56
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- Computational Drug Discovery Methods 58
- Co-authors
- Barbara Malawska (49 shared papers)Natalia Guzior (9 shared papers)Jakub Jończyk (29 shared papers)Anna Więckowska (19 shared papers)Muhammad Yar (12 shared papers)Paweł Szymański (17 shared papers)Christoph Sotriffer (1 shared paper)Stanislav Gobec (8 shared papers)
In The Last Decade
Marek Bajda
102 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 96
- Pharmacology 1.4k
- Computational Theory and Mathematics 1.0k
- Organic Chemistry 1.1k
- Complementary and alternative medicine 178
- Physiology 454
Countries citing papers authored by Marek Bajda
This map shows the geographic impact of Marek Bajda'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 Marek Bajda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Bajda more than expected).
Fields of papers citing papers by Marek Bajda
This network shows the impact of papers produced by Marek Bajda. 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 Marek Bajda. The network helps show where Marek Bajda may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Bajda, 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 106 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 242 | |
| 2 | 2011 | 219 | |
| 3 | 2007 | 174 | |
| 4 | 2016 | 90 | |
| 5 | 2013 | 72 | |
| 6 | 2015 | 68 | |
| 7 | 2021 | 66 | |
| 8 | 2019 | 66 | |
| 9 | 2015 | 64 | |
| 10 | 2015 | 63 | |
| 11 | 2015 | 63 | |
| 12 | 2019 | 62 | |
| 13 | 2014 | 59 | |
| 14 | 2014 | 58 | |
| 15 | 2014 | 55 | |
| 16 | 2018 | 52 | |
| 17 | 2012 | 49 | |
| 18 | 2015 | 47 | |
| 19 | 2020 | 46 | |
| 20 | 2015 | 44 |
About Marek Bajda
Marek Bajda is a scholar working on Pharmacology, Computational Theory and Mathematics, Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 106 papers that have together received 2.8k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (58 papers), Cholinesterase and Neurodegenerative Diseases (56 papers), Chemical synthesis and alkaloids (13 papers), Phenothiazines and Benzothiazines Synthesis and Activities (12 papers), Alzheimer's disease research and treatments (12 papers), Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Synthesis and biological activity (10 papers). The work is most often cited by research in Pharmacology (1.4k citations), Computational Theory and Mathematics (1.0k citations), Organic Chemistry (1.1k citations), Complementary and alternative medicine (178 citations) and Physiology (454 citations). Marek Bajda has collaborated with scholars based in Poland, Germany and Pakistan. Frequent co-authors include Barbara Malawska, Natalia Guzior, Jakub Jończyk, Anna Więckowska, Muhammad Yar, Paweł Szymański, Christoph Sotriffer, Stanislav Gobec, Sohail Anjum Shahzad and Dawid Panek. Their work appears in journals such as Bioorganic Chemistry, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry and Molecules.
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.