Marko Jukič
Impact in
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
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- Computational Drug Discovery Methods
Papers in
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- Computational Drug Discovery Methods 22
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- Synthesis and biological activity 7
- Synthesis of β-Lactam Compounds 5
- Co-authors
- Stanislav Gobec (25 shared papers)Urban Bren (24 shared papers)Dušanka Janežič (5 shared papers)Damijan Knez (7 shared papers)Janko Kos (6 shared papers)Matej Sova (4 shared papers)Xavier Brazzolotto (5 shared papers)Anja Hafner Pišlar (5 shared papers)
In The Last Decade
Marko Jukič
61 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Pharmacology 373
- Computational Theory and Mathematics 381
- Organic Chemistry 488
- Complementary and alternative medicine 94
- Molecular Medicine 53
Countries citing papers authored by Marko Jukič
This map shows the geographic impact of Marko Jukič'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 Marko Jukič with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Jukič more than expected).
Fields of papers citing papers by Marko Jukič
This network shows the impact of papers produced by Marko Jukič. 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 Marko Jukič. The network helps show where Marko Jukič may publish in the future.
Co-authors
The 25 scholars most cited alongside Marko Jukič, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 146 | |
| 2 | 2021 | 99 | |
| 3 | 2018 | 87 | |
| 4 | 2017 | 87 | |
| 5 | 2019 | 86 | |
| 6 | 2019 | 68 | |
| 7 | 2022 | 54 | |
| 8 | 2017 | 51 | |
| 9 | 2020 | 49 | |
| 10 | 2008 | 44 | |
| 11 | 2017 | 42 | |
| 12 | 2012 | 39 | |
| 13 | 2012 | 34 | |
| 14 | 2020 | 31 | |
| 15 | 2018 | 29 | |
| 16 | 2021 | 24 | |
| 17 | 2021 | 23 | |
| 18 | 2022 | 23 | |
| 19 | 2022 | 20 | |
| 20 | 2022 | 17 |
About Marko Jukič
Marko Jukič is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Pharmacology, Molecular Biology and Infectious Diseases, having authored 65 papers that have together received 1.4k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (22 papers), SARS-CoV-2 and COVID-19 Research (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), vaccines and immunoinformatics approaches (7 papers), Synthesis and biological activity (7 papers), Phenothiazines and Benzothiazines Synthesis and Activities (6 papers), Protein Structure and Dynamics (6 papers) and Synthesis of β-Lactam Compounds (5 papers). The work is most often cited by research in Pharmacology (373 citations), Computational Theory and Mathematics (381 citations), Organic Chemistry (488 citations), Complementary and alternative medicine (94 citations) and Molecular Medicine (53 citations). Marko Jukič has collaborated with scholars based in Slovenia, France and Belgium. Frequent co-authors include Stanislav Gobec, Urban Bren, Dušanka Janežič, Damijan Knez, Janko Kos, Matej Sova, Xavier Brazzolotto, Anja Hafner Pišlar, Florian Nachon and Damjan Šterk. Their work appears in journals such as Pharmaceuticals, International Journal of Molecular Sciences, Journal of Chemical Information and Modeling, Molecules and European Journal of Medicinal 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.