Michalis D. Mantzaris

674 total citations
18 papers, 517 citations indexed

About

Michalis D. Mantzaris is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Molecular Biology. According to data from OpenAlex, Michalis D. Mantzaris has authored 18 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Molecular Biology. Recurrent topics in Michalis D. Mantzaris's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Cardiovascular Health and Disease Prevention (6 papers) and Sulfur Compounds in Biology (3 papers). Michalis D. Mantzaris is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Cardiovascular Health and Disease Prevention (6 papers) and Sulfur Compounds in Biology (3 papers). Michalis D. Mantzaris collaborates with scholars based in Greece, Serbia and Germany. Michalis D. Mantzaris's co-authors include Dimitrios Galaris, Sofia Bellou, Maria Andrikoula, Agathocles Tsatsoulis, Epameinondas V. Tsianos, Andreas G. Tzakos, Demosthenes Fokas, Theodore Fotsis, Evangelos Briasoulis and Alexandra Barbouti and has published in prestigious journals such as Bioinformatics, Journal of Agricultural and Food Chemistry and Free Radical Biology and Medicine.

In The Last Decade

Michalis D. Mantzaris

16 papers receiving 511 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michalis D. Mantzaris Greece 10 179 102 94 60 57 18 517
Varadacharyulu Nallanchakravarthula India 17 237 1.3× 60 0.6× 118 1.3× 52 0.9× 56 1.0× 28 618
Annie Turkieh France 11 307 1.7× 76 0.7× 99 1.1× 57 0.9× 56 1.0× 22 713
Beatrice Arezzini Italy 14 207 1.2× 138 1.4× 90 1.0× 63 1.1× 41 0.7× 20 725
Zuquan Zou China 13 216 1.2× 80 0.8× 70 0.7× 60 1.0× 59 1.0× 20 440
Luís Arturo Baiza-Gutman Mexico 15 294 1.6× 58 0.6× 88 0.9× 46 0.8× 97 1.7× 28 674
Xia Yang China 13 375 2.1× 129 1.3× 100 1.1× 91 1.5× 48 0.8× 20 786
Solveig Hasselwander Germany 8 176 1.0× 84 0.8× 115 1.2× 34 0.6× 30 0.5× 10 490
Alessio Lepore Italy 9 315 1.8× 45 0.4× 100 1.1× 54 0.9× 33 0.6× 14 695
Kristína Ferenczyová Slovakia 11 207 1.2× 52 0.5× 63 0.7× 52 0.9× 60 1.1× 21 538
Emilie Dubois‐Deruy France 14 410 2.3× 70 0.7× 129 1.4× 56 0.9× 47 0.8× 25 922

Countries citing papers authored by Michalis D. Mantzaris

Since Specialization
Citations

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

Fields of papers citing papers by Michalis D. Mantzaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michalis D. Mantzaris. 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 Michalis D. Mantzaris. The network helps show where Michalis D. Mantzaris may publish in the future.

Co-authorship network of co-authors of Michalis D. Mantzaris

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

All Works

18 of 18 papers shown
1.
2.
Mantzaris, Michalis D., et al.. (2022). Prediction of the atherosclerotic plaque development in carotid arteries; the effect of T-cells. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 5. 1590–1593. 2 indexed citations
3.
Mantzaris, Michalis D., et al.. (2021). Serum Biomarkers in Carotid Artery Disease. Diagnostics. 11(11). 2143–2143. 9 indexed citations
4.
Mantzaris, Michalis D., Panagiotis K. Siogkas, Vassilis Tsakanikas, et al.. (2021). Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 4209–4212. 4 indexed citations
5.
Chatziathanasiadou, Μaria V., Eirinaios I. Vrettos, Nisar Sayyad, et al.. (2021). Development of novel GnRH and Tat48–60 based luminescent probes with enhanced cellular uptake and bioimaging profile. Dalton Transactions. 50(26). 9215–9224. 6 indexed citations
6.
Sakellarios, Antonis I., Michalis D. Mantzaris, Vassilis Tsakanikas, et al.. (2021). A Machine Learning Model for the Identification of High risk Carotid Atherosclerotic Plaques. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 2266–2269. 7 indexed citations
7.
Tsakanikas, Vassilis, Panagiotis K. Siogkas, Michalis D. Mantzaris, et al.. (2020). A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. PubMed. 9351. 2408–2411. 8 indexed citations
8.
Tsakanikas, Vassilis, Panagiotis K. Siogkas, Michalis D. Mantzaris, et al.. (2020). A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging. Zenodo (CERN European Organization for Nuclear Research).
9.
Mantzaris, Michalis D., Panagiotis K. Siogkas, Vasileios C. Pezoulas, et al.. (2019). A Multimodal Advanced Approach for the Stratification of Carotid Artery Disease. Zenodo (CERN European Organization for Nuclear Research). 706–709. 1 indexed citations
10.
Mantzaris, Michalis D., et al.. (2016). Intracellular labile iron determines H2O2-induced apoptotic signaling via sustained activation of ASK1/JNK-p38 axis. Free Radical Biology and Medicine. 97. 454–465. 53 indexed citations
11.
Mantzaris, Michalis D., et al.. (2016). Hydroxytyrosol inhibits hydrogen peroxide-induced apoptotic signaling via labile iron chelation. Redox Biology. 10. 233–242. 59 indexed citations
12.
Tzortzis, Grigorios, Michalis D. Mantzaris, Tahsin F. Kellici, et al.. (2016). PRESS: PRotEin S-Sulfenylation server. Bioinformatics. 32(17). 2710–2712. 16 indexed citations
13.
Mantzaris, Michalis D., Andreas G. Tzakos, Demosthenes Fokas, et al.. (2015). Microcystin LR Shows Cytotoxic Activity Against Pancreatic Cancer Cells Expressing the Membrane OATP1B1 and OATP1B3 Transporters.. PubMed. 35(11). 5857–65. 18 indexed citations
14.
Primikyri, Alexandra, Μaria V. Chatziathanasiadou, Evdoxia Karali, et al.. (2014). Direct Binding of Bcl-2 Family Proteins by Quercetin Triggers Its Pro-Apoptotic Activity. ACS Chemical Biology. 9(12). 2737–2741. 66 indexed citations
15.
Tsatsoulis, Agathocles, Michalis D. Mantzaris, Sofia Bellou, & Maria Andrikoula. (2012). Insulin resistance: An adaptive mechanism becomes maladaptive in the current environment — An evolutionary perspective. Metabolism. 62(5). 622–633. 130 indexed citations
16.
Fokas, Demosthenes, et al.. (2012). Lipophilic Caffeic Acid Derivatives Protect Cells against H2O2-Induced DNA Damage by Chelating Intracellular Labile Iron. Journal of Agricultural and Food Chemistry. 60(32). 7873–7879. 39 indexed citations
17.
Mantzaris, Michalis D., Epameinondas V. Tsianos, & Dimitrios Galaris. (2010). Interruption of triacylglycerol synthesis in the endoplasmic reticulum is the initiating event for saturated fatty acid‐induced lipotoxicity in liver cells. FEBS Journal. 278(3). 519–530. 63 indexed citations
18.
Galaris, Dimitrios, et al.. (2008). Oxidative stress and aging: the potential role of iron. HORMONES. 7(2). 114–122. 36 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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