Samo Lešnik

835 total citations
30 papers, 626 citations indexed

About

Samo Lešnik is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Samo Lešnik has authored 30 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 15 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in Samo Lešnik's work include Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Samo Lešnik is often cited by papers focused on Computational Drug Discovery Methods (15 papers), Protein Structure and Dynamics (8 papers) and Microbial Natural Products and Biosynthesis (5 papers). Samo Lešnik collaborates with scholars based in Slovenia, Germany and Romania. Samo Lešnik's co-authors include Urban Bren, Janez Konc, Dušanka Janežič, Stanislav Gobec, Ana‐Nicoleta Bondar, Damijan Knez, Boris Brus, H. Lee Woodcock, Matej Sova and Bernard R. Brooks and has published in prestigious journals such as Angewandte Chemie International Edition, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Samo Lešnik

30 papers receiving 621 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samo Lešnik Slovenia 16 380 179 95 81 58 30 626
Khaled M. Elokely United States 16 390 1.0× 190 1.1× 158 1.7× 127 1.6× 54 0.9× 48 909
Sunhye Hong South Korea 10 355 0.9× 279 1.6× 126 1.3× 75 0.9× 21 0.4× 13 836
Vivek Chandramohan India 17 243 0.6× 170 0.9× 201 2.1× 77 1.0× 64 1.1× 49 804
Mohamed A. Helal Egypt 17 327 0.9× 81 0.5× 177 1.9× 59 0.7× 44 0.8× 46 691
Sean A. Hudson United Kingdom 9 661 1.7× 205 1.1× 179 1.9× 163 2.0× 68 1.2× 10 1.2k
Speranța Avram Romania 15 311 0.8× 152 0.8× 253 2.7× 93 1.1× 36 0.6× 74 730
Camila S. de Magalhães Brazil 6 302 0.8× 237 1.3× 153 1.6× 59 0.7× 25 0.4× 9 606
Surovi Saikia India 9 249 0.7× 135 0.8× 74 0.8× 58 0.7× 41 0.7× 21 526
Enade Perdana Istyastono Indonesia 15 441 1.2× 294 1.6× 259 2.7× 143 1.8× 33 0.6× 78 891
Virginie Nahoum France 16 457 1.2× 64 0.4× 116 1.2× 66 0.8× 33 0.6× 29 914

Countries citing papers authored by Samo Lešnik

Since Specialization
Citations

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

Fields of papers citing papers by Samo Lešnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samo Lešnik

This figure shows the co-authorship network connecting the top 25 collaborators of Samo Lešnik. A scholar is included among the top collaborators of Samo Lešnik 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 Samo Lešnik. Samo Lešnik 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.
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
2.
3.
Lebar, Tina, et al.. (2022). Chemically inducible split protein regulators for mammalian cells. Nature Chemical Biology. 19(1). 64–71. 21 indexed citations
4.
Konc, Janez, Samo Lešnik, Blaž Škrlj, et al.. (2022). ProBiS-Dock: A Hybrid Multitemplate Homology Flexible Docking Algorithm Enabled by Protein Binding Site Comparison. Journal of Chemical Information and Modeling. 62(6). 1573–1584. 8 indexed citations
5.
Lešnik, Samo, et al.. (2021). Rosemary (Rosmarinus officinalis L.): extraction techniques, analytical methods and health-promoting biological effects. Phytochemistry Reviews. 20(6). 1273–1328. 64 indexed citations
6.
7.
Konc, Janez, Samo Lešnik, Blaž Škrlj, & Dušanka Janežič. (2021). ProBiS-Dock Database: A Web Server and Interactive Web Repository of Small Ligand–Protein Binding Sites for Drug Design. Journal of Chemical Information and Modeling. 61(8). 4097–4107. 18 indexed citations
8.
Lešnik, Samo, Milan Hodošček, Barbara Podobnik, & Janez Konc. (2020). Loop Grafting between Similar Local Environments for Fc-Silent Antibodies. Journal of Chemical Information and Modeling. 60(11). 5475–5486. 3 indexed citations
9.
Lešnik, Samo, et al.. (2020). Protein-water hydrogen-bond networks of G protein-coupled receptors: Graph-based analyses of static structures and molecular dynamics. Journal of Structural Biology. 212(3). 107634–107634. 45 indexed citations
10.
Švajger, Urban, et al.. (2019). Selective Toll-like receptor 7 agonists with novel chromeno[3,4-d]imidazol-4(1H)-one and 2-(trifluoromethyl)quinoline/ quinazoline-4-amine scaffolds. European Journal of Medicinal Chemistry. 179. 109–122. 17 indexed citations
11.
Lešnik, Samo & Janez Konc. (2019). In Silico Laboratory: Tools for Similarity-Based Drug Discovery. Methods in molecular biology. 2089. 1–28. 3 indexed citations
12.
Lešnik, Samo, et al.. (2017). BoBER: web interface to the base of bioisosterically exchangeable replacements. Journal of Cheminformatics. 9(1). 62–62. 12 indexed citations
13.
Lešnik, Samo, Boris Brus, Martina Hrast, et al.. (2017). Discovery of new MurA inhibitors using induced-fit simulation and docking. Bioorganic & Medicinal Chemistry Letters. 27(4). 944–949. 23 indexed citations
14.
Lešnik, Samo, et al.. (2016). Scaffold Hopping and Bioisosteric Replacements Based on Binding Site Alignments. Croatica Chemica Acta. 89(4). 4 indexed citations
15.
Lešnik, Samo, Mitja M. Zdouc, An Ghysels, et al.. (2016). Discovery of Mycobacterium tuberculosis InhA Inhibitors by Binding Sites Comparison and Ligands Prediction. Journal of Medicinal Chemistry. 59(24). 11069–11078. 27 indexed citations
16.
Lešnik, Samo, et al.. (2016). Ligand-based virtual screening interface between PyMOL and LiSiCA. Journal of Cheminformatics. 8(1). 46–46. 9 indexed citations
17.
Turk, Samo, Samo Lešnik, Izidor Sosič, et al.. (2015). Molecular dynamics to enhance structure-based virtual screening on cathepsin B. Journal of Computer-Aided Molecular Design. 29(8). 707–712. 23 indexed citations
18.
Konc, Janez, Samo Lešnik, & Dušanka Janežič. (2015). Modeling enzyme-ligand binding in drug discovery. Journal of Cheminformatics. 7(1). 48–48. 21 indexed citations
19.
Lešnik, Samo, Boris Brus, Damijan Knez, et al.. (2015). LiSiCA: A Software for Ligand-Based Virtual Screening and Its Application for the Discovery of Butyrylcholinesterase Inhibitors. Journal of Chemical Information and Modeling. 55(8). 1521–1528. 66 indexed citations
20.
Konc, Janez, Benjamin T. Miller, Samo Lešnik, et al.. (2015). ProBiS-CHARMMing: Web Interface for Prediction and Optimization of Ligands in Protein Binding Sites. Journal of Chemical Information and Modeling. 55(11). 2308–2314. 53 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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