Senka Pantic

766 total citations
22 papers, 612 citations indexed

About

Senka Pantic is a scholar working on Biophysics, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Senka Pantic has authored 22 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Biophysics, 7 papers in Molecular Biology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Senka Pantic's work include Cell Image Analysis Techniques (8 papers), Fractal and DNA sequence analysis (4 papers) and Digital Imaging for Blood Diseases (3 papers). Senka Pantic is often cited by papers focused on Cell Image Analysis Techniques (8 papers), Fractal and DNA sequence analysis (4 papers) and Digital Imaging for Blood Diseases (3 papers). Senka Pantic collaborates with scholars based in Serbia, Israel and Czechia. Senka Pantic's co-authors include Igor Pantić, Siniša Ristić, Jovana Todorović, Aleksandar Damjanović, Jovana Paunović, Gordana Basta-Jovanović, Milan Perović, Sanja Đačić, Sanja Peković and Zlatibor Lončar and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Theoretical Biology and Chaos Solitons & Fractals.

In The Last Decade

Senka Pantic

21 papers receiving 590 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Senka Pantic Serbia 14 208 127 106 75 68 22 612
Victoria Hollis United States 18 92 0.4× 236 1.9× 27 0.3× 31 0.4× 132 1.9× 21 1.1k
Mi Jung Rho South Korea 10 495 2.4× 11 0.1× 243 2.3× 16 0.2× 110 1.6× 37 743
Lawrence T. White United States 18 96 0.5× 307 2.4× 43 0.4× 28 0.4× 16 0.2× 39 1.2k
Mengyun Wang China 14 80 0.4× 123 1.0× 49 0.5× 6 0.1× 20 0.3× 54 603
Yungui Huang United States 17 31 0.1× 358 2.8× 17 0.2× 8 0.1× 64 0.9× 72 1.1k
Chris Chandler United Kingdom 15 52 0.3× 481 3.8× 13 0.1× 9 0.1× 78 1.1× 53 1.2k
Erin D. Foster United States 7 45 0.2× 50 0.4× 8 0.1× 10 0.1× 13 0.2× 13 577
Francisco Javier Rodríguez Díaz Spain 17 137 0.7× 48 0.4× 61 0.6× 5 0.1× 10 0.1× 110 815

Countries citing papers authored by Senka Pantic

Since Specialization
Citations

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

Fields of papers citing papers by Senka Pantic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senka Pantic

This figure shows the co-authorship network connecting the top 25 collaborators of Senka Pantic. A scholar is included among the top collaborators of Senka Pantic 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 Senka Pantic. Senka Pantic 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.
Pantić, Igor, Sanja Đačić, Sanja Peković, et al.. (2020). Gray-Level Co-Occurrence Matrix Analysis of Granule Neurons of the Hippocampal Dentate Gyrus Following Cortical Injury. Microscopy and Microanalysis. 26(1). 166–172. 8 indexed citations
2.
Pantic, Senka, et al.. (2019). Neurotoxocity, nephrotoxicity, and hepatotoxicity of copper-based nanoparticles: potential implications in molecular medicine and neurosciences. REVIEWS ON ADVANCED MATERIALS SCIENCE. 58(1). 201–205. 14 indexed citations
3.
Pantic, Senka, et al.. (2019). Zinc oxide nanoparticles: potential novel applications in cellular physiology, pathology, neurosciences and cancer research. REVIEWS ON ADVANCED MATERIALS SCIENCE. 58(1). 17–21. 18 indexed citations
4.
Paunović, Jovana, Danijela Vučević, Tatjana Radosavljević, et al.. (2018). Gray-level co-occurrence matrix analysis of chromatin architecture in periportal and perivenous hepatocytes. Histochemistry and Cell Biology. 151(1). 75–83. 13 indexed citations
5.
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
6.
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
7.
Pantić, Igor, Sanja Đačić, Irena Lavrnja, et al.. (2015). Discriminatory ability of fractal and grey level co-occurrence matrix methods in structural analysis of hippocampus layers. Journal of Theoretical Biology. 370. 151–156. 27 indexed citations
8.
Pantić, Igor, et al.. (2015). Relationship between chromatin complexity and nuclear envelope circularity in hippocampal pyramidal neurons. Chaos Solitons & Fractals. 76. 271–277. 4 indexed citations
9.
Pantić, Igor, Sanja Đačić, Irena Lavrnja, et al.. (2014). Application of Fractal and Grey Level Co-Occurrence Matrix Analysis in Evaluation of Brain Corpus Callosum and Cingulum Architecture. Microscopy and Microanalysis. 20(5). 1373–1381. 31 indexed citations
10.
Pantić, Igor, Dejan Nešić, Darko Stevanović, et al.. (2013). Effects of Ghrelin on the Structural Complexity of Exocrine Pancreas Tissue Architecture. Microscopy and Microanalysis. 19(3). 553–558. 11 indexed citations
11.
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
12.
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
13.
Pantić, Igor, Senka Pantic, & Gordana Basta-Jovanović. (2012). Gray Level Co-Occurrence Matrix Texture Analysis of Germinal Center Light Zone Lymphocyte Nuclei: Physiology Viewpoint with Focus on Apoptosis. Microscopy and Microanalysis. 18(3). 470–475. 42 indexed citations
14.
Pantić, Igor, Senka Pantic, & Jovana Paunović. (2012). Aging Increases Nuclear Chromatin Entropy of Erythroid Precursor Cells in Mice Spleen Hematopoietic Tissue. Microscopy and Microanalysis. 18(5). 1054–1059. 26 indexed citations
15.
Pantić, Igor, et al.. (2012). Complexity reduction of chromatin architecture in macula densa cells during mouse postnatal development. Nephrology. 18(2). 117–124. 29 indexed citations
16.
Pantić, Igor, et al.. (2012). Association between online social networking and depression in high school students: behavioral physiology viewpoint.. PubMed. 24(1). 90–3. 255 indexed citations
17.
Pantić, Igor & Senka Pantic. (2011). Germinal Center Texture Entropy as Possible Indicator of Humoral Immune Response: Immunophysiology Viewpoint. Molecular Imaging and Biology. 14(5). 534–540. 17 indexed citations
19.
Pantić, Igor, et al.. (2010). Effects of aspirin on the number of peripheral white blood cells and spleen eosinophils in guinea-pigs. Acta veterinaria. 60(4). 355–362. 1 indexed citations
20.
Pantic, Senka, et al.. (1992). Opposite Actions of Alpha‐Adrenergic vs Beta‐Adrenergic Influences on Humoral Immune Response in Guinea Pigs. Annals of the New York Academy of Sciences. 650(1). 165–169. 4 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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