Jakub Jończyk
Impact in
- Pharmacology top 1%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 27
- Pharmacology 26
- Cholinesterase and Neurodegenerative Diseases 26
- Co-authors
- Barbara Malawska (20 shared papers)Justyna Godyń (9 shared papers)Dawid Panek (8 shared papers)Marek Bajda (28 shared papers)Anna Więckowska (8 shared papers)Stanislav Gobec (5 shared papers)Damijan Knez (5 shared papers)Tomasz Wichur (4 shared papers)
In The Last Decade
Jakub Jończyk
40 papers receiving 1.1k citations
Jakub Jończyk's Hit Papers
Peers
Comparison fields: 5 of 89
- Pharmacology 572
- Computational Theory and Mathematics 401
- Physiology 321
- Complementary and alternative medicine 94
- Organic Chemistry 333
Countries citing papers authored by Jakub Jończyk
This map shows the geographic impact of Jakub Jończyk'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 Jakub Jończyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jakub Jończyk more than expected).
Fields of papers citing papers by Jakub Jończyk
This network shows the impact of papers produced by Jakub Jończyk. 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 Jakub Jończyk. The network helps show where Jakub Jończyk may publish in the future.
Co-authors
The 25 scholars most cited alongside Jakub Jończyk, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Therapeutic strategies for Alzheimer's disease in clinical trials Hit paper breakdown → | 2015 | 363 |
| 2 | 2016 | 82 | |
| 3 | 2015 | 66 | |
| 4 | 2015 | 62 | |
| 5 | 2018 | 50 | |
| 6 | 2019 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2018 | 35 | |
| 9 | 2012 | 25 | |
| 10 | 2015 | 24 | |
| 11 | 2018 | 24 | |
| 12 | 2024 | 23 | |
| 13 | 2016 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2014 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2014 | 19 | |
| 18 | 2017 | 17 | |
| 19 | 2018 | 17 | |
| 20 | 2019 | 16 |
About Jakub Jończyk
Jakub Jończyk is a scholar working on Computational Theory and Mathematics, Pharmacology, Molecular Biology, Organic Chemistry and Physiology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Cholinesterase and Neurodegenerative Diseases (26 papers), Alzheimer's disease research and treatments (9 papers), Chemical synthesis and alkaloids (7 papers), Phenothiazines and Benzothiazines Synthesis and Activities (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers) and Phosphodiesterase function and regulation (2 papers). The work is most often cited by research in Pharmacology (572 citations), Computational Theory and Mathematics (401 citations), Physiology (321 citations), Complementary and alternative medicine (94 citations) and Organic Chemistry (333 citations). Jakub Jończyk has collaborated with scholars based in Poland, Czechia and Slovenia. Frequent co-authors include Barbara Malawska, Justyna Godyń, Dawid Panek, Marek Bajda, Anna Więckowska, Stanislav Gobec, Damijan Knez, Tomasz Wichur, Anna Pasieka and Muhammad Yar. Their work appears in journals such as ACS Chemical Neuroscience, Journal of Enzyme Inhibition and Medicinal Chemistry, International Journal of Molecular Sciences, European Journal of Medicinal Chemistry and Bioorganic Chemistry.
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.