Vladimir Perović

2.1k total citations
46 papers, 627 citations indexed

About

Vladimir Perović is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Vladimir Perović has authored 46 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Infectious Diseases and 11 papers in Computational Theory and Mathematics. Recurrent topics in Vladimir Perović's work include Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Influenza Virus Research Studies (7 papers). Vladimir Perović is often cited by papers focused on Computational Drug Discovery Methods (11 papers), SARS-CoV-2 and COVID-19 Research (7 papers) and Influenza Virus Research Studies (7 papers). Vladimir Perović collaborates with scholars based in Serbia, United States and Italy. Vladimir Perović's co-authors include Sanja Glišić, Nevena Veljković, Veljko Veljković, Milan Senćanski, Slobodan Paessler, Claude P. Muller, Branislava Gemović, Neven Šumonja, Tijana Bojić and Henry Niman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Vladimir Perović

44 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Perović Serbia 15 294 180 127 115 62 46 627
Kazunari Hattori Japan 14 298 1.0× 239 1.3× 143 1.1× 142 1.2× 51 0.8× 21 783
Han Cheng United States 20 318 1.1× 344 1.9× 360 2.8× 65 0.6× 119 1.9× 42 967
Dorothy M. DeLisle United States 4 229 0.8× 70 0.4× 132 1.0× 66 0.6× 82 1.3× 5 499
Rudranil De India 13 235 0.8× 78 0.4× 44 0.3× 29 0.3× 88 1.4× 24 609
Gareth Williams United Kingdom 10 128 0.4× 63 0.3× 106 0.8× 38 0.3× 69 1.1× 24 478
Suiyi Tan China 16 233 0.8× 175 1.0× 132 1.0× 15 0.1× 71 1.1× 35 680
Andrea Wolkerstorfer Austria 9 276 0.9× 295 1.6× 83 0.7× 14 0.1× 163 2.6× 10 644
Yang Zhan-qiu China 14 123 0.4× 160 0.9× 154 1.2× 21 0.2× 109 1.8× 20 564
Edgar E. Lara‐Ramírez Mexico 15 232 0.8× 148 0.8× 67 0.5× 46 0.4× 52 0.8× 59 577

Countries citing papers authored by Vladimir Perović

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Perović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Perović

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Perović. A scholar is included among the top collaborators of Vladimir Perović 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 Vladimir Perović. Vladimir Perović 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
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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
3.
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
4.
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
5.
Perović, Vladimir, et al.. (2023). Novel Entropy-Based Phylogenetic Algorithm: A New Approach for Classifying SARS-CoV-2 Variants. Entropy. 25(10). 1463–1463.
6.
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
7.
Šumonja, Neven, Branislava Gemović, Nevena Veljković, & Vladimir Perović. (2019). Automated feature engineering improves prediction of protein–protein interactions. Amino Acids. 51(8). 1187–1200. 17 indexed citations
8.
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
9.
Bojić, Tijana, Vladimir Perović, & Sanja Glišić. (2016). In silico Therapeutics for Neurogenic Hypertension and Vasovagal Syncope. Frontiers in Neuroscience. 9. 520–520. 4 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
12.
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
13.
Veljković, Nevena, et al.. (2013). Simple and General Criterion for “in silico” Screening of Candidate HIV Drugs. Current Pharmaceutical Biotechnology. 14(5). 561–569. 8 indexed citations
14.
Perović, Vladimir, Claude P. Muller, Henry Niman, et al.. (2013). Novel Phylogenetic Algorithm to Monitor Human Tropism in Egyptian H5N1-HPAIV Reveals Evolution toward Efficient Human-to-Human Transmission. PLoS ONE. 8(4). e61572–e61572. 21 indexed citations
15.
Gemović, Branislava, Vladimir Perović, Sanja Glišić, & Nevena Veljković. (2013). Feature‐Based Classification of Amino Acid Substitutions outside Conserved Functional Protein Domains. The Scientific World JOURNAL. 2013(1). 948617–948617. 5 indexed citations
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Veljković, Veljko, Nevena Veljković, Claude P. Muller, et al.. (2009). Characterization of conserved properties of hemagglutinin of H5N1 and human influenza viruses: possible consequences for therapy and infection control. BMC Structural Biology. 9(1). 21–21. 57 indexed citations
18.
Veljković, Nevena, et al.. (2008). Discovery of New Therapeutic Targets by the Informational Spectrum Method. Current Protein and Peptide Science. 9(5). 493–506. 30 indexed citations
19.
Glišić, Sanja, et al.. (2007). Lipoprotein lipase: A bioinformatics criterion for assessment of mutations as a risk factor for cardiovascular disease. Proteins Structure Function and Bioinformatics. 70(3). 855–862. 14 indexed citations
20.
Veljković, Nevena & Vladimir Perović. (2006). In Silico Criterion for Prediction of Effects of p53 Gene Missense Mutations on p53-Mdm2 Feedback Loop. Protein and Peptide Letters. 13(8). 807–814. 2 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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