Marko Jukič

1.6k citations
56 papers · 1.3k · h-index 19

Impact in

Papers in

Marko Jukič

55 papers receiving 1.2k citations

Peers

Marko Jukič
Comparison fields: 5 of 113
  • Computational Theory and Mathematics 395
  • Pharmacology 364
  • Organic Chemistry 479
  • Molecular Medicine 58
  • Complementary and alternative medicine 90
Replace Kemal Yelekçi with:
Kemal Yelekçi Türkiye
Khac‐Minh Thai Vietnam
Barij Nayan Sinha India
Ramin Ekhteiari Salmas Türkiye
Isabella Alvim Guedes Brazil
Faizul Azam Saudi Arabia
Sarah Naomi Bolz Germany
Samir Yahiaoui France
Thanh‐Dao Tran Vietnam
Alan Talevi Argentina
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Citations per field
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Kemal Yelekçi · 1×
Citations per year

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-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.

Border = papers with Marko Jukič Line = papers co-authored together Marko Jukič links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017131
2 202187
3 201879
4 201978
5 201776
6 201961
7 201752
8 202351
9 202250
10 202043
11 200843
12 201737
13 201235
14 201234
15 202030
16 201828
17 202222
18 202121
19 202119
20 202218

About Marko Jukič

Marko Jukič is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Pharmacology and Infectious Diseases, having authored 56 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 Microbial Natural Products and Biosynthesis (4 papers). The work is most often cited by research in Computational Theory and Mathematics (395 citations), Pharmacology (364 citations), Organic Chemistry (479 citations), Molecular Medicine (58 citations) and Complementary and alternative medicine (90 citations). Marko Jukič has collaborated with scholars based in Slovenia, France and Belgium. Frequent co-authors include Urban Bren, Stanislav Gobec, Dušanka Janežič, Matej Sova, Janko Kos, Damijan Knez, Anja Pišlar, Xavier Brazzolotto, Florian Nachon and Zdenko Časar. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Pharmaceuticals, European Journal of Medicinal Chemistry and Journal of Chemical Information and Modeling.

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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