Jovana Paunović

617 total citations
31 papers, 438 citations indexed

About

Jovana Paunović is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Jovana Paunović has authored 31 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Biomedical Engineering. Recurrent topics in Jovana Paunović's work include Computational Drug Discovery Methods (7 papers), Gene expression and cancer classification (6 papers) and Cell Image Analysis Techniques (5 papers). Jovana Paunović is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Gene expression and cancer classification (6 papers) and Cell Image Analysis Techniques (5 papers). Jovana Paunović collaborates with scholars based in Serbia, Israel and United Arab Emirates. Jovana Paunović's co-authors include Igor Pantić, Senka Pantic, Danijela Vučević, Tatjana Radosavljević, Stefan Mandić‐Rajčević, Peter R. Corridon, Milan Perović, Gordana Basta-Jovanović, Georg Petroianu and Sanja Radojević-Škodrić and has published in prestigious journals such as Scientific Reports, Journal of Theoretical Biology and World Journal of Gastroenterology.

In The Last Decade

Jovana Paunović

30 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jovana Paunović Serbia 12 125 83 74 55 52 31 438
Romi Singh Maharjan Germany 9 112 0.9× 162 2.0× 135 1.8× 49 0.9× 55 1.1× 10 599
Keyvan Ghasemi Iran 14 111 0.9× 90 1.1× 36 0.5× 35 0.6× 52 1.0× 29 519
Xinyi Liu China 13 267 2.1× 86 1.0× 68 0.9× 16 0.3× 30 0.6× 45 602
Yi‐Hsun Chen Taiwan 16 187 1.5× 76 0.9× 40 0.5× 56 1.0× 22 0.4× 50 622
Alireza Nikoofar Iran 15 128 1.0× 57 0.7× 14 0.2× 161 2.9× 39 0.8× 51 638
Chengying Zhang China 15 196 1.6× 64 0.8× 46 0.6× 9 0.2× 11 0.2× 30 511
Yingxin Li China 17 234 1.9× 146 1.8× 65 0.9× 4 0.1× 42 0.8× 52 901
Xiaofeng Ling China 14 130 1.0× 52 0.6× 12 0.2× 42 0.8× 15 0.3× 51 584

Countries citing papers authored by Jovana Paunović

Since Specialization
Citations

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

Fields of papers citing papers by Jovana Paunović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jovana Paunović

This figure shows the co-authorship network connecting the top 25 collaborators of Jovana Paunović. A scholar is included among the top collaborators of Jovana Paunović 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 Jovana Paunović. Jovana Paunović 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
2.
Pantić, Igor & Jovana Paunović. (2025). Advanced concept for identifying chemico-biological interactions associated with programmed cell death using a multi-scale attention residual convolutional neural network. Computers in Biology and Medicine. 198(Pt A). 111186–111186. 1 indexed citations
3.
Paunović, Jovana, et al.. (2024). AI-enhanced EEG signal interpretation: A novel approach using texture analysis with random forests. Medical Hypotheses. 189. 111405–111405. 4 indexed citations
4.
Paunović, Jovana, Danijela Vučević, Tatjana Radosavljević, et al.. (2024). Machine learning approaches to detect hepatocyte chromatin alterations from iron oxide nanoparticle exposure. Scientific Reports. 14(1). 19595–19595. 3 indexed citations
5.
Paunović, Jovana, et al.. (2024). A bioengineered model for reinnervating the decellularized extracellular matrix of corneal scaffolds. Medical Hypotheses. 185. 111315–111315. 7 indexed citations
6.
Wang, Xinyu, Ahmed E. Salih, Haider Butt, et al.. (2024). A sustainable approach to derive sheep corneal scaffolds from stored slaughterhouse waste. Regenerative Medicine. 19(6). 303–315. 5 indexed citations
7.
Pantić, Igor, et al.. (2023). Oxidopamine-Induced Nuclear Alterations Quantified Using Advanced Fractal Analysis: Random Forest Machine Learning Approach. Fractal and Fractional. 7(10). 771–771. 6 indexed citations
8.
Pantić, Igor, Jovana Paunović, & Sanja Radojević-Škodrić. (2022). Application of fractal and textural analysis in medical physiology, pathophysiology and pathology. 55(3). 43–51. 1 indexed citations
9.
Pantić, Igor, et al.. (2022). Artificial neural networks in contemporary toxicology research. Chemico-Biological Interactions. 369. 110269–110269. 42 indexed citations
10.
Pantić, Igor, Jovana Paunović, Snežana Pejić, et al.. (2022). Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art. Chemico-Biological Interactions. 358. 109888–109888. 18 indexed citations
11.
Paunović, Jovana, et al.. (2021). Effects of Iron Oxide Nanoparticles on Structural Organization of Hepatocyte Chromatin: Gray Level Co-occurrence Matrix Analysis. Microscopy and Microanalysis. 27(4). 889–896. 9 indexed citations
12.
Paunović, Jovana, Danijela Vučević, Tatjana Radosavljević, Stefan Mandić‐Rajčević, & Igor Pantić. (2019). Iron-based nanoparticles and their potential toxicity: Focus on oxidative stress and apoptosis. Chemico-Biological Interactions. 316. 108935–108935. 102 indexed citations
13.
Paunović, Jovana, Danijela Vučević, Tatjana Radosavljević, et al.. (2018). Application of Iron Oxide Nanoparticles in Contemporary Experimental Physiology and Cell Biology Research. REVIEWS ON ADVANCED MATERIALS SCIENCE. 53(1). 74–78. 7 indexed citations
14.
Pantić, Igor, Jovana Paunović, Danijela Vučević, et al.. (2017). Postnatal Developmental Changes in Fractal Complexity of Giemsa-Stained Chromatin in Mice Spleen Follicular Cells. Microscopy and Microanalysis. 23(5). 1024–1029. 8 indexed citations
15.
Pantić, Igor, et al.. (2016). Age-related reduction of chromatin fractal dimension in toluidine blue – stained hepatocytes. Mechanisms of Ageing and Development. 157. 30–34. 14 indexed citations
16.
Gojnić, M, et al.. (2013). Correlation of maternal BMI with fetal liver ultrasound measurements in gestational diabetes mellitus. 29(2). 837–840. 3 indexed citations
17.
Pantić, Igor, Jovana Paunović, Gordana Basta-Jovanović, et al.. (2013). Age-related reduction of structural complexity in spleen hematopoietic tissue architecture in mice. Experimental Gerontology. 48(9). 926–932. 20 indexed citations
18.
Pantić, Igor, Jovana Paunović, Milan Perović, et al.. (2013). Time‐dependent reduction of structural complexity of the buccal epithelial cell nuclei after treatment with silver nanoparticles. Journal of Microscopy. 252(3). 286–294. 12 indexed citations
20.
Milković, Karmela, et al.. (1975). Steroidogenesis of the Fetal Adrenal Gland in Vitro: Influence of Metopirone Applied in Vivo and in Vitro. Experimental Biology and Medicine. 150(1). 249–253. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026