Sanja Koštrun

34 total papers · 584 total citations
25 papers, 474 citations indexed

About

Sanja Koštrun is a scholar working on Organic Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Sanja Koštrun has authored 25 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Organic Chemistry, 11 papers in Molecular Biology and 7 papers in Computational Theory and Mathematics. Recurrent topics in Sanja Koštrun's work include Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (6 papers) and Pneumonia and Respiratory Infections (4 papers). Sanja Koštrun is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (6 papers) and Pneumonia and Respiratory Infections (4 papers). Sanja Koštrun collaborates with scholars based in Croatia, United Kingdom and United States. Sanja Koštrun's co-authors include Dubravko Jelić, Silvana Raić‐Malić, Andrea Bistrović, Luka Krstulović, Petra Grbčić, Sandra Kraljević Pavelić, Mirela Sedić, Anja Harej, Višnja Stepanić and Vesna Munić Kos and has published in prestigious journals such as Journal of Medicinal Chemistry, Inorganic Chemistry and The Journal of Physical Chemistry A.

In The Last Decade

Sanja Koštrun

25 papers receiving 451 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sanja Koštrun 222 189 58 51 44 25 474
Himanshu Verma 130 0.6× 211 1.1× 63 1.1× 33 0.6× 53 1.2× 44 541
Andrew M. Mason 277 1.2× 183 1.0× 33 0.6× 36 0.7× 51 1.2× 19 532
Ekta Rathi 165 0.7× 197 1.0× 123 2.1× 32 0.6× 51 1.2× 25 408
Matthew D. Selby 284 1.3× 215 1.1× 21 0.4× 31 0.6× 36 0.8× 22 492
Paresh K. Patel 250 1.1× 143 0.8× 45 0.8× 24 0.5× 25 0.6× 25 548
Lori Kunselman 124 0.6× 197 1.0× 56 1.0× 79 1.5× 30 0.7× 11 468
Wayne A. Spitzer 328 1.5× 168 0.9× 14 0.2× 56 1.1× 48 1.1× 28 551
Hanno Wild 189 0.9× 215 1.1× 122 2.1× 27 0.5× 53 1.2× 24 475
Vijay Kumar 184 0.8× 231 1.2× 27 0.5× 40 0.8× 24 0.5× 34 541
Dániel Erös 128 0.6× 214 1.1× 116 2.0× 21 0.4× 29 0.7× 18 426

Countries citing papers authored by Sanja Koštrun

Since Specialization
Citations

This map shows the geographic impact of Sanja Koštrun'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 Sanja Koštrun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanja Koštrun more than expected).

Fields of papers citing papers by Sanja Koštrun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanja Koštrun. 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 Sanja Koštrun. The network helps show where Sanja Koštrun may publish in the future.

Co-authorship network of co-authors of Sanja Koštrun

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Koštrun. A scholar is included among the top collaborators of Sanja Koštrun 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 Sanja Koštrun. Sanja Koštrun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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