Mladen Paradžik

551 total citations
16 papers, 424 citations indexed

About

Mladen Paradžik is a scholar working on Molecular Biology, Cell Biology and Immunology and Allergy. According to data from OpenAlex, Mladen Paradžik has authored 16 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cell Biology and 4 papers in Immunology and Allergy. Recurrent topics in Mladen Paradžik's work include Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Mladen Paradžik is often cited by papers focused on Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Mladen Paradžik collaborates with scholars based in Croatia, United Kingdom and United States. Mladen Paradžik's co-authors include Mariastefania Antica, Maja Matulić, Sophie Ezine, Ika Kardum‐Skelin, Andreja Ambriović‐Ristov, Nikolina Stojanović, Ivana Vrhovac, Goran Gajski, Vera Garaj‐Vrhovac and Maja Antunović and has published in prestigious journals such as Journal of Cell Science, International Journal of Molecular Sciences and Cellular and Molecular Life Sciences.

In The Last Decade

Mladen Paradžik

16 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mladen Paradžik Croatia 9 174 123 66 55 52 16 424
Zhaohu Yuan China 13 168 1.0× 69 0.6× 63 1.0× 66 1.2× 52 1.0× 29 490
Changping Xie China 10 249 1.4× 191 1.6× 52 0.8× 34 0.6× 42 0.8× 21 594
Nishi N. Singh United Kingdom 11 198 1.1× 122 1.0× 84 1.3× 69 1.3× 29 0.6× 14 441
Ding Zhang China 11 274 1.6× 53 0.4× 123 1.9× 56 1.0× 27 0.5× 31 452
Jung-hyun Rho United States 11 295 1.7× 72 0.6× 70 1.1× 78 1.4× 24 0.5× 15 498
H. Schwende Germany 7 235 1.4× 245 2.0× 63 1.0× 58 1.1× 24 0.5× 21 659
Kiran Assi Canada 11 262 1.5× 159 1.3× 95 1.4× 88 1.6× 81 1.6× 20 556
René Köffel Switzerland 13 362 2.1× 191 1.6× 44 0.7× 23 0.4× 31 0.6× 19 626
Takeaki Nitto Japan 14 196 1.1× 145 1.2× 30 0.5× 39 0.7× 21 0.4× 21 426
Patsy Renard Belgium 8 315 1.8× 152 1.2× 64 1.0× 136 2.5× 73 1.4× 10 574

Countries citing papers authored by Mladen Paradžik

Since Specialization
Citations

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

Fields of papers citing papers by Mladen Paradžik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mladen Paradžik

This figure shows the co-authorship network connecting the top 25 collaborators of Mladen Paradžik. A scholar is included among the top collaborators of Mladen Paradžik 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 Mladen Paradžik. Mladen Paradžik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Podgorski, Iva I., Marijana Popović Hadžija, Mladen Paradžik, et al.. (2024). Sirtuin 3 drives sex-specific responses to age-related changes in mouse embryonic fibroblasts. Mechanisms of Ageing and Development. 222. 111996–111996. 3 indexed citations
2.
Marjanović, Marko, et al.. (2023). Salinomycin disturbs Golgi function and specifically affects cells in epithelial-to-mesenchymal transition. Journal of Cell Science. 136(17). 3 indexed citations
3.
Orso, Francesca, Federico Virga, Daniela Dettori, et al.. (2023). Stroma-derived miR-214 coordinates tumor dissemination. Journal of Experimental & Clinical Cancer Research. 42(1). 20–20. 19 indexed citations
4.
Orso, Francesca, Mladen Paradžik, Giorgia Centonze, et al.. (2022). miRNA-guided reprogramming of glucose and glutamine metabolism and its impact on cell adhesion/migration during solid tumor progression. Cellular and Molecular Life Sciences. 79(4). 216–216. 16 indexed citations
5.
Podgorski, Iva I., et al.. (2022). Ancient Origins of Cytoskeletal Crosstalk: Spectraplakin-like Proteins Precede the Emergence of Cortical Microtubule Stabilization Complexes as Crosslinkers. International Journal of Molecular Sciences. 23(10). 5594–5594. 4 indexed citations
6.
Humphries, Jonathan D., Ivana Samaržija, Nikolina Stojanović, et al.. (2021). The Tongue Squamous Carcinoma Cell Line Cal27 Primarily Employs Integrin α6β4-Containing Type II Hemidesmosomes for Adhesion Which Contribute to Anticancer Drug Sensitivity. Frontiers in Cell and Developmental Biology. 9. 786758–786758. 8 indexed citations
7.
Paradžik, Mladen, Jonathan D. Humphries, Nikolina Stojanović, et al.. (2020). KANK2 Links αVβ5 Focal Adhesions to Microtubules and Regulates Sensitivity to Microtubule Poisons and Cell Migration. Frontiers in Cell and Developmental Biology. 8. 125–125. 26 indexed citations
8.
Podgorski, Iva I., Marijana Popović Hadžija, Vedrana Filić, et al.. (2020). Sirt3 Exerts Its Tumor-Suppressive Role by Increasing p53 and Attenuating Response to Estrogen in MCF-7 Cells. Antioxidants. 9(4). 294–294. 11 indexed citations
9.
Samaržija, Ivana, Jonathan D. Humphries, Mladen Paradžik, et al.. (2020). Integrin Crosstalk Contributes to the Complexity of Signalling and Unpredictable Cancer Cell Fates. Cancers. 12(7). 1910–1910. 39 indexed citations
10.
Antunović, Maja, Igor Matić, Biserka Nagy, et al.. (2019). FADD-deficient mouse embryonic fibroblasts undergo RIPK1-dependent apoptosis and autophagy after NB-UVB irradiation. Journal of Photochemistry and Photobiology B Biology. 194. 32–45. 6 indexed citations
11.
Stojanović, Nikolina, Mladen Paradžik, Dragomira Majhen, et al.. (2018). Differential Effects of Integrin αv Knockdown and Cilengitide on Sensitization of Triple-Negative Breast Cancer and Melanoma Cells to Microtubule Poisons. Molecular Pharmacology. 94(6). 1334–1351. 18 indexed citations
12.
Vrhovac, Ivana, Josip Madunić, Maja Antunović, et al.. (2018). Apigenin, a dietary flavonoid, induces apoptosis, DNA damage, and oxidative stress in human breast cancer MCF-7 and MDA MB-231 cells. Naunyn-Schmiedeberg s Archives of Pharmacology. 391(5). 537–550. 69 indexed citations
13.
Podgorski, Iva I., Sandra Sobočanec, Marijana Popović Hadžija, et al.. (2018). De novo expression of transfected sirtuin 3 enhances susceptibility of human MCF-7 breast cancer cells to hyperoxia treatment. Free Radical Research. 52(6). 672–684. 12 indexed citations
14.
Antica, Mariastefania, et al.. (2013). Notch signalling controls leukemic cells. Frontiers in Immunology. 4. 178 indexed citations
15.
Antica, Mariastefania, et al.. (2010). Gene expression in formalin-fixed paraffin-embedded lymph nodes. Journal of Immunological Methods. 359(1-2). 42–46. 8 indexed citations
16.
Matulić, Maja, et al.. (2010). Analysis of Ikaros family splicing variants in human hematopoietic lineages.. PubMed. 34(1). 59–62. 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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