Sanja Podunavac-Kuzmаnоvić

1.1k total citations
98 papers, 895 citations indexed

About

Sanja Podunavac-Kuzmаnоvić is a scholar working on Organic Chemistry, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Sanja Podunavac-Kuzmаnоvić has authored 98 papers receiving a total of 895 indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Organic Chemistry, 45 papers in Computational Theory and Mathematics and 22 papers in Spectroscopy. Recurrent topics in Sanja Podunavac-Kuzmаnоvić's work include Computational Drug Discovery Methods (45 papers), Synthesis and biological activity (37 papers) and Analytical Chemistry and Chromatography (22 papers). Sanja Podunavac-Kuzmаnоvić is often cited by papers focused on Computational Drug Discovery Methods (45 papers), Synthesis and biological activity (37 papers) and Analytical Chemistry and Chromatography (22 papers). Sanja Podunavac-Kuzmаnоvić collaborates with scholars based in Serbia, Croatia and Portugal. Sanja Podunavac-Kuzmаnоvić's co-authors include Strаhinjа Kоvаčеvić, Dragoljub Cvetković, Lidija R. Jevrić, Eva Lončar, Vukadin M. Leovac, Siniša Markov, Ljiljana S. Vojinović‐Ješić, Slobodan Gadžurić, Evgenija A. Djurendić and Jelena Rogan and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Journal of Chromatography A.

In The Last Decade

Sanja Podunavac-Kuzmаnоvić

95 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Podunavac-Kuzmаnоvić Serbia 17 417 313 158 130 92 98 895
Işıl Gazioğlu Türkiye 17 304 0.7× 125 0.4× 56 0.4× 153 1.2× 123 1.3× 38 814
Jelena Tošović Serbia 16 481 1.2× 227 0.7× 45 0.3× 139 1.1× 88 1.0× 32 984
Strаhinjа Kоvаčеvić Serbia 14 128 0.3× 199 0.6× 159 1.0× 100 0.8× 102 1.1× 80 600
Rudolf Kiralj Brazil 15 246 0.6× 329 1.1× 140 0.9× 177 1.4× 25 0.3× 41 762
Nebojša Banjac Serbia 12 202 0.5× 100 0.3× 82 0.5× 72 0.6× 84 0.9× 31 463
Adrian Pı̂rnău Romania 21 555 1.3× 65 0.2× 91 0.6× 321 2.5× 69 0.8× 73 1.0k
Alina Pyka Poland 15 147 0.4× 202 0.6× 663 4.2× 212 1.6× 112 1.2× 141 1.1k
Eduardo Borges de Melo Brazil 15 466 1.1× 194 0.6× 41 0.3× 356 2.7× 60 0.7× 55 994
Nguyen Thi Ai Nhung Vietnam 14 241 0.6× 118 0.4× 170 1.1× 184 1.4× 110 1.2× 81 932
Andrew G. Mercader Argentina 14 243 0.6× 356 1.1× 88 0.6× 175 1.3× 20 0.2× 25 639

Countries citing papers authored by Sanja Podunavac-Kuzmаnоvić

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Podunavac-Kuzmаnоvić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Podunavac-Kuzmаnоvić

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Podunavac-Kuzmаnоvić. A scholar is included among the top collaborators of Sanja Podunavac-Kuzmаnоvić 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 Podunavac-Kuzmаnоvić. Sanja Podunavac-Kuzmаnоvić 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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Kоvаčеvić, Strаhinjа, et al.. (2024). Chemometric modeling of bioconcentration factor of 6-chloro-1,3,5-triazine derivatives based on MLR-QSPR approach. Acta periodica technologica. 203–213. 1 indexed citations
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Kоvаčеvić, Strаhinjа, et al.. (2024). Ongoing Multivariate Chemometric Approaches in Bioactive Compounds and Functional Properties of Foods—A Systematic Review. Processes. 12(3). 583–583. 1 indexed citations
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Kоvаčеvić, Strаhinjа, et al.. (2023). Local QSAR modeling of cytotoxic activity of newly designed androstane 3-oximes towards malignant melanoma cells. Journal of Molecular Structure. 1283. 135272–135272. 2 indexed citations
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Maksimović, Ivana, et al.. (2023). Onion (Allium cepa L.) Yield and Quality Depending on Biostimulants and Nitrogen Fertilization—A Chemometric Perspective. Processes. 11(3). 684–684. 13 indexed citations
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Vladić, Jelena, Strаhinjа Kоvаčеvić, Krunoslav Aladić, et al.. (2023). Novel Insights Into the Recovery and Stabilization of Rosmarinus officinalis Volatile Aroma Compounds Using Green Solvents. Food and Bioprocess Technology. 17(5). 1215–1230. 10 indexed citations
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Pavlović, Nebojša, Strаhinjа Kоvаčеvić, Sanja Podunavac-Kuzmаnоvić, et al.. (2022). Predicting percutaneous permeation for new succinimide derivatives by in vitro and in silico models. Journal of Molecular Structure. 1274. 134516–134516. 6 indexed citations
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Vulić, Jelena, Vanja Šeregelj, Strаhinjа Kоvаčеvić, et al.. (2022). Chemical and Biological Properties of Peach Pomace Encapsulates: Chemometric Modeling. Processes. 10(4). 642–642. 3 indexed citations
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Kоvаčеvić, Strаhinjа, Lidija R. Jevrić, Sanja Podunavac-Kuzmаnоvić, et al.. (2019). Artificial neural network modeling of the antioxidant activity of lettuce submitted to different postharvest conditions. Journal of Food Processing and Preservation. 43(3). e13878–e13878. 8 indexed citations
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Kоvаčеvić, Strаhinjа, et al.. (2017). Binding affinity toward human prion protein of some anti-prion compounds — Assessment based on QSAR modeling, molecular docking and non-parametric ranking. European Journal of Pharmaceutical Sciences. 111. 215–225. 9 indexed citations
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Jevrić, Lidija R., Anamarija Mandić, Siniša Markov, et al.. (2017). Chemometrics approach based on chromatographic behavior, in silico characterization and molecular docking study of steroid analogs with biomedical importance. European Journal of Pharmaceutical Sciences. 105. 71–81. 12 indexed citations
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Jevrić, Lidija R., et al.. (2015). Lipophilicity Estimation of Some Carbohydrate Derivatives in TLC with Benzene as a Diluent. Journal of Liquid Chromatography & Related Technologies. 38(17). 1593–1600. 3 indexed citations
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Kоvаčеvić, Strаhinjа, Sanja Podunavac-Kuzmаnоvić, Lidija R. Jevrić, Evgenija A. Djurendić, & Jovana J. Ajduković. (2014). Non-linear assessment of anticancer activity of 17-picolyl and 17-picolinylidene androstane derivatives – Chemometric guidelines for further syntheses. European Journal of Pharmaceutical Sciences. 62. 258–266. 17 indexed citations
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Dodić, Jelena, et al.. (2014). Chemometric Approach to Prediction of Antibacterial Agent Production by Streptomyces hygroscopicus. Applied Biochemistry and Biotechnology. 174(2). 534–541. 3 indexed citations
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Kоvаčеvić, Strаhinjа, Sanja Podunavac-Kuzmаnоvić, Lidija R. Jevrić, & Eva Lončar. (2014). Assessment of Chromatographic Lipophilicity of Some Anhydro-D-Aldose Derivatives on Different Stationary Phases by QSRR Approach. Journal of Liquid Chromatography & Related Technologies. 38(4). 492–500. 10 indexed citations
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Kоvаčеvić, Strаhinjа, Lidija R. Jevrić, Sanja Podunavac-Kuzmаnоvić, & Eva Lončar. (2014). Prediction of In-silico ADME Properties of 1,2-O-Isopropylidene Aldohexose Derivatives.. PubMed. 13(3). 899–907. 27 indexed citations
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Podunavac-Kuzmаnоvić, Sanja, et al.. (2002). Synthesis, physico-chemical characterization and biological activity of copper(ii) and nickel(ii) complexes with l-benzoyl-2-methylbenzimidazole derivatives. Acta periodica technologica. 151–157. 8 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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