Marko Jukič
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 2%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Phenothiazines and Benzothiazines Synthesis and Activities 6
- Protein Structure and Dynamics 6
- vaccines and immunoinformatics approaches 5
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- Computational Drug Discovery Methods 21
- Co-authors
- Urban Bren (23 shared papers)Stanislav Gobec (25 shared papers)Dušanka Janežič (5 shared papers)Damijan Knez (7 shared papers)Matej Sova (4 shared papers)Janko Kos (6 shared papers)Xavier Brazzolotto (5 shared papers)Anja Pišlar (5 shared papers)
In The Last Decade
Marko Jukič
55 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 395
- Pharmacology 362
- Organic Chemistry 482
- Complementary and alternative medicine 87
- Molecular Medicine 54
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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 135 | |
| 2 | 2021 | 89 | |
| 3 | 2018 | 81 | |
| 4 | 2019 | 80 | |
| 5 | 2017 | 77 | |
| 6 | 2019 | 63 | |
| 7 | 2023 | 58 | |
| 8 | 2022 | 53 | |
| 9 | 2017 | 52 | |
| 10 | 2020 | 47 | |
| 11 | 2008 | 44 | |
| 12 | 2017 | 40 | |
| 13 | 2012 | 35 | |
| 14 | 2012 | 34 | |
| 15 | 2020 | 30 | |
| 16 | 2018 | 28 | |
| 17 | 2022 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2021 | 20 | |
| 20 | 2022 | 20 |
About Marko Jukič
Marko Jukič is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Infectious Diseases, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (21 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Synthesis and biological activity (7 papers), Phenothiazines and Benzothiazines Synthesis and Activities (6 papers), Protein Structure and Dynamics (6 papers), SARS-CoV-2 and COVID-19 Research (6 papers), Synthesis of β-Lactam Compounds (5 papers) and vaccines and immunoinformatics approaches (5 papers). The work is most often cited by research in Computational Theory and Mathematics (395 citations), Pharmacology (362 citations), Organic Chemistry (482 citations), Complementary and alternative medicine (87 citations) and Molecular Medicine (54 citations). Marko Jukič has collaborated with scholars based in Slovenia, France and Belgium. Frequent co-authors include Urban Bren, Stanislav Gobec, Dušanka Janežič, Damijan Knez, Matej Sova, Janko Kos, Xavier Brazzolotto, Anja Pišlar, Florian Nachon and Marko Anderluh. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Chemical Information and Modeling, Pharmaceuticals, European Journal of 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.