Marko Jukič

1.6k total citations
56 papers, 1.3k citations indexed

About

Marko Jukič is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Marko Jukič has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 18 papers in Organic Chemistry. Recurrent topics in Marko Jukič's work include Computational Drug Discovery Methods (21 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Synthesis and biological activity (7 papers). Marko Jukič is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Cholinesterase and Neurodegenerative Diseases (8 papers) and Synthesis and biological activity (7 papers). Marko Jukič collaborates with scholars based in Slovenia, France and Belgium. Marko Jukič's co-authors include Urban Bren, Stanislav Gobec, Dušanka Janežič, Matej Sova, Janko Kos, Damijan Knez, Xavier Brazzolotto, Anja Pišlar, Florian Nachon and Damjan Šterk and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Communications and Food Chemistry.

In The Last Decade

Marko Jukič

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marko Jukič Slovenia 19 479 478 395 364 103 56 1.3k
Kemal Yelekçi Türkiye 22 678 1.4× 696 1.5× 471 1.2× 270 0.7× 221 2.1× 66 1.6k
Khac‐Minh Thai Vietnam 19 371 0.8× 398 0.8× 319 0.8× 206 0.6× 51 0.5× 60 1.0k
Faizul Azam Saudi Arabia 24 652 1.4× 494 1.0× 431 1.1× 265 0.7× 53 0.5× 99 1.7k
Isabella Alvim Guedes Brazil 14 292 0.6× 619 1.3× 575 1.5× 198 0.5× 102 1.0× 29 1.2k
Ramin Ekhteiari Salmas Türkiye 23 442 0.9× 835 1.7× 267 0.7× 371 1.0× 40 0.4× 63 1.5k
Alan Talevi Argentina 24 473 1.0× 757 1.6× 638 1.6× 157 0.4× 107 1.0× 103 1.9k
Venkatesan Jayaprakash India 30 1.1k 2.3× 748 1.6× 310 0.8× 456 1.3× 240 2.3× 122 2.3k
Samir Yahiaoui France 22 435 0.9× 472 1.0× 182 0.5× 398 1.1× 69 0.7× 40 1.1k
Vijay H. Masand India 23 922 1.9× 533 1.1× 750 1.9× 264 0.7× 94 0.9× 102 1.7k
Sarah Naomi Bolz Germany 8 249 0.5× 757 1.6× 300 0.8× 146 0.4× 93 0.9× 12 1.4k

Countries citing papers authored by Marko Jukič

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Marko Jukič

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Jukič. A scholar is included among the top collaborators of Marko Jukič based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marko Jukič. Marko Jukič is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jukič, Marko, et al.. (2025). Identification of Furin Protease Small-Molecule Inhibitor with a 1,3-Thiazol-2-ylaminosulfonyl Scaffold. Pharmaceuticals. 18(2). 273–273. 1 indexed citations
2.
Lešnik, Samo, Marko Jukič, & Urban Bren. (2025). Unveiling polyphenol-protein interactions: a comprehensive computational analysis. Journal of Cheminformatics. 17(1). 50–50. 2 indexed citations
3.
Jukič, Marko, et al.. (2024). Identification of Triazolopyrimidinyl Scaffold SARS-CoV-2 Papain-Like Protease (PLpro) Inhibitor. Pharmaceutics. 16(2). 169–169. 2 indexed citations
4.
Jukič, Marko, et al.. (2023). Design of Tetra-Peptide Ligands of Antibody Fc Regions Using In Silico Combinatorial Library Screening. Pharmaceuticals. 16(8). 1170–1170. 1 indexed citations
5.
Jukič, Marko, et al.. (2023). Molecular Filters in Medicinal Chemistry. SHILAP Revista de lepidopterología. 3(2). 501–511. 51 indexed citations
6.
7.
Meden, Anton, Damijan Knez, Marko Jukič, et al.. (2023). Synthesis and Cholinesterase Inhibitory Activity of Selected Indole-Based Compounds. Acta chimica slovenica. 70(4). 545–559. 2 indexed citations
8.
Gobec, Martina, et al.. (2023). Design and synthesis of amino-substituted N-arylpiperidinyl-based inhibitors of the (immuno)proteasome. Acta Pharmaceutica. 73(3). 441–456. 1 indexed citations
9.
Jukič, Marko, et al.. (2023). Naive Prediction of Protein Backbone Phi and Psi Dihedral Angles Using Deep Learning. Molecules. 28(20). 7046–7046. 1 indexed citations
10.
Jukič, Marko & Urban Bren. (2022). Machine Learning in Antibacterial Drug Design. Frontiers in Pharmacology. 13. 864412–864412. 50 indexed citations
11.
Jukič, Marko, et al.. (2022). Towards discovery of inhibitors of the undecaprenyl-pyrophosphate phosphatase BacA by virtual high-throughput screening. Computational and Structural Biotechnology Journal. 20. 2360–2371. 2 indexed citations
12.
Mitrović, Ana, et al.. (2022). New inhibitors of cathepsin V impair tumor cell proliferation and elastin degradation and increase immune cell cytotoxicity. Computational and Structural Biotechnology Journal. 20. 4667–4687. 7 indexed citations
13.
Wichur, Tomasz, Justyna Godyń, Gniewomir Latacz, et al.. (2021). Development and crystallography-aided SAR studies of multifunctional BuChE inhibitors and 5-HT6R antagonists with β-amyloid anti-aggregation properties. European Journal of Medicinal Chemistry. 225. 113792–113792. 19 indexed citations
14.
Jukič, Marko, et al.. (2021). Inhibition of the SARS-CoV-2 3CLpro main protease by plant polyphenols. Food Chemistry. 373(Pt B). 131594–131594. 87 indexed citations
15.
Košak, Urban, Damijan Knez, Marko Jukič, et al.. (2020). N-alkylpiperidine carbamates as potential anti-Alzheimer’s agents. European Journal of Medicinal Chemistry. 197. 112282–112282. 43 indexed citations
16.
Wasowski, Cristina, et al.. (2019). Chalcone derivatives: synthesis, in vitro and in vivo evaluation of their anti-anxiety, anti-depression and analgesic effects. Heliyon. 5(3). e01376–e01376. 61 indexed citations
17.
Kotar, Anita, Alenka Šmid, Marko Jukič, et al.. (2018). Methylation of selenocysteine catalysed by thiopurine S-methyltransferase. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(1). 182–190. 15 indexed citations
18.
Knez, Damijan, Nicolas Coquelle, Anja Pišlar, et al.. (2018). Multi-target-directed ligands for treating Alzheimer's disease: Butyrylcholinesterase inhibitors displaying antioxidant and neuroprotective activities. European Journal of Medicinal Chemistry. 156. 598–617. 79 indexed citations
19.
Jukič, Marko, et al.. (2015). Recent Advances in the Development of Undecaprenyl Pyrophosphate Synthase Inhibitors as Potential Antibacterials. Current Medicinal Chemistry. 23(5). 464–482. 6 indexed citations
20.
Jukič, Marko, Aleksandra Ɖorđević, Jelena Lazarević, et al.. (2013). Antimicrobial activity and cytotoxicity of some 2-amino-5-alkylidene-thiazol-4-ones. Molecular Diversity. 17(4). 773–780. 11 indexed citations

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.

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