Milan Senćanski

684 total citations
46 papers, 471 citations indexed

About

Milan Senćanski is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Milan Senćanski has authored 46 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 9 papers in Organic Chemistry. Recurrent topics in Milan Senćanski's work include Receptor Mechanisms and Signaling (12 papers), Computational Drug Discovery Methods (10 papers) and Neuropeptides and Animal Physiology (6 papers). Milan Senćanski is often cited by papers focused on Receptor Mechanisms and Signaling (12 papers), Computational Drug Discovery Methods (10 papers) and Neuropeptides and Animal Physiology (6 papers). Milan Senćanski collaborates with scholars based in Serbia, United States and France. Milan Senćanski's co-authors include Sanja Glišić, Vladimir Perović, Slobodan Paessler, Tamara R. Todorović, Nenad R. Filipović, Nevena Veljković, Snežana B. Pajović, Miroslav Adžić, Veljko Veljković and Snežana Bjelogrlić and has published in prestigious journals such as Scientific Reports, The Journal of Physical Chemistry C and International Journal of Molecular Sciences.

In The Last Decade

Milan Senćanski

44 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Milan Senćanski Serbia 14 182 152 110 85 58 46 471
Antônia Tavares do Amaral Brazil 16 276 1.5× 290 1.9× 68 0.6× 61 0.7× 59 1.0× 52 683
Aloysius T. Nchinda South Africa 13 256 1.4× 223 1.5× 104 0.9× 69 0.8× 29 0.5× 27 557
Jaime Pérez‐Villanueva Mexico 15 250 1.4× 271 1.8× 219 2.0× 41 0.5× 51 0.9× 36 638
Luciana Gavernet Argentina 17 243 1.3× 236 1.6× 155 1.4× 49 0.6× 74 1.3× 44 552
I. Kanepe Latvia 14 188 1.0× 403 2.7× 80 0.7× 43 0.5× 27 0.5× 45 644
Kathleen A. Farley United States 16 430 2.4× 219 1.4× 70 0.6× 43 0.5× 34 0.6× 36 739
Santiago Rodrı́guez Spain 18 266 1.5× 454 3.0× 106 1.0× 32 0.4× 57 1.0× 52 771
Olujide O. Olubiyi Nigeria 18 383 2.1× 173 1.1× 169 1.5× 125 1.5× 17 0.3× 40 796
Raphaël Rahmani Australia 14 503 2.8× 257 1.7× 117 1.1× 104 1.2× 118 2.0× 25 937
W. Armand Guiguemde United States 14 167 0.9× 228 1.5× 121 1.1× 32 0.4× 72 1.2× 18 533

Countries citing papers authored by Milan Senćanski

Since Specialization
Citations

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

Fields of papers citing papers by Milan Senćanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Milan Senćanski

This figure shows the co-authorship network connecting the top 25 collaborators of Milan Senćanski. A scholar is included among the top collaborators of Milan Senćanski 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 Milan Senćanski. Milan Senćanski 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.
Davalieva, Katarina, et al.. (2025). [Pd(dach)Cl2] Complex Targets Proteins Involved in Ribosomal Biogenesis, and RNA Splicing in HeLa Cells. Inorganics. 13(7). 215–215.
2.
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Perović, Vladimir, Natalya Bukreyeva, Slobodan Paessler, et al.. (2024). Exploring the Antiviral Potential of Natural Compounds against Influenza: A Combined Computational and Experimental Approach. International Journal of Molecular Sciences. 25(9). 4911–4911. 3 indexed citations
4.
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Prodanović, Olivera, Milan Senćanski, Vladimir Perović, et al.. (2024). SARS‐CoV‐2 PLpro Inhibition: Evaluating in Silico Repurposed Fidaxomicin's Antiviral Activity Through In Vitro Assessment. ChemistryOpen. 13(11). e202400091–e202400091. 2 indexed citations
6.
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Senćanski, Milan, Olivera Prodanović, Vladimir Perović, et al.. (2023). In Silico and In Vitro Inhibition of SARS-CoV-2 PLpro with Gramicidin D. International Journal of Molecular Sciences. 24(3). 1955–1955. 4 indexed citations
8.
Senćanski, Milan, Vladimir Perović, Tamara R. Todorović, et al.. (2022). Identification of SARS‐CoV‐2 Papain‐like Protease (PLpro) Inhibitors Using Combined Computational Approach**. ChemistryOpen. 11(2). e202100248–e202100248. 18 indexed citations
9.
Zhukovsky, Daniil, Ana Podolski-Renić, Raivis Žalubovskis, et al.. (2019). Novel electrophilic amides amenable by the Ugi reaction perturb thioredoxin system via thioredoxin reductase 1 (TrxR1) inhibition: Identification of DVD-445 as a new lead compound for anticancer therapy. European Journal of Medicinal Chemistry. 181. 111580–111580. 19 indexed citations
10.
Senćanski, Milan, Vladimir Perović, Nevena Veljković, et al.. (2019). Virtual Screen for Repurposing of Drugs for Candidate Influenza a M2 Ion-Channel Inhibitors. Frontiers in Cellular and Infection Microbiology. 9. 67–67. 17 indexed citations
11.
Senćanski, Milan, Sanja Glišić, Nevena Veljković, et al.. (2019). Computational design and characterization of nanobody-derived peptides that stabilize the active conformation of the β2-adrenergic receptor (β2-AR). Scientific Reports. 9(1). 16555–16555. 12 indexed citations
12.
Senćanski, Milan, Sanja Glišić, Nevena Veljković, et al.. (2019). Functional characterization of β2-adrenergic and insulin receptor heteromers. Neuropharmacology. 152. 78–89. 4 indexed citations
13.
Perdih, Andrej, Milan Senćanski, Sanja Glišić, et al.. (2018). In Silico Discovery of a Substituted 6-Methoxy-quinalidine with Leishmanicidal Activity in Leishmania infantum. Molecules. 23(4). 772–772. 26 indexed citations
14.
Bojić, Tijana, Vladimir Perović, Milan Senćanski, & Sanja Glišić. (2017). Identification of Candidate Allosteric Modulators of the M1 Muscarinic Acetylcholine Receptor Which May Improve Vagus Nerve Stimulation in Chronic Tinnitus. Frontiers in Neuroscience. 11. 636–636. 9 indexed citations
15.
Senćanski, Milan, et al.. (2017). Assessing the dispersive and electrostatic components of the selenium–aromatic interaction energy by DFT. Journal of Molecular Modeling. 23(5). 162–162. 5 indexed citations
16.
Filipović, Nenad R., Snežana Bjelogrlić, Tamara R. Todorović, et al.. (2016). Ni(ii) complex with bishydrazone ligand: synthesis, characterization, DNA binding studies and pro-apoptotic and pro-differentiation induction in human cancerous cell lines. RSC Advances. 6(110). 108726–108740. 15 indexed citations
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Senćanski, Milan, Vladimir Perović, Branislava Gemović, et al.. (2015). Natural Products as Promising Therapeutics for Treatment of Influenza Disease. Current Pharmaceutical Design. 21(38). 5573–5588. 27 indexed citations
19.
Veljković, Veljko, Sanja Glišić, Claude P. Muller, et al.. (2015). In silico analysis suggests interaction between Ebola virus and the extracellular matrix. Frontiers in Microbiology. 6. 135–135. 12 indexed citations
20.
Šoškić, Vukić, et al.. (2013). Determination of key receptor–ligand interactions of dopaminergic arylpiperazines and the dopamine D2 receptor homology model. Journal of Molecular Modeling. 19(4). 1751–1762. 9 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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