Efstathios S. Gonos

9.2k total citations · 1 hit paper
118 papers, 6.0k citations indexed

About

Efstathios S. Gonos is a scholar working on Molecular Biology, Physiology and Oncology. According to data from OpenAlex, Efstathios S. Gonos has authored 118 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 32 papers in Physiology and 31 papers in Oncology. Recurrent topics in Efstathios S. Gonos's work include Ubiquitin and proteasome pathways (31 papers), Genetics, Aging, and Longevity in Model Organisms (25 papers) and Clusterin in disease pathology (23 papers). Efstathios S. Gonos is often cited by papers focused on Ubiquitin and proteasome pathways (31 papers), Genetics, Aging, and Longevity in Model Organisms (25 papers) and Clusterin in disease pathology (23 papers). Efstathios S. Gonos collaborates with scholars based in Greece, Germany and Italy. Efstathios S. Gonos's co-authors include Niki Chondrogianni, Ioannis P. Trougakos, A. Jennifer Rivett, İoanna Chinou, Bertrand Friguet, Magda Lourda, Fiona L. L. Stratford, Konstantina Georgila, Claudio Franceschi and Μαριάννα Καπετάνου and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular and Cellular Biology.

In The Last Decade

Efstathios S. Gonos

116 papers receiving 5.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Towards frailty biomarkers: Candidates from genes and pathways regulated in aging and age-related diseases

2018 340 citations Sophia Athanasopoulou, Efstathios S. Gonos et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Efstathios S. Gonos Greece	42	3.2k	1.5k	1.4k	841	725	118	6.0k
Ewa Sikora Poland	44	2.7k 0.8×	1.7k 1.1×	575 0.4×	326 0.4×	368 0.5×	131	5.3k
Bart van de Sluis Netherlands	39	3.4k 1.1×	2.6k 1.7×	1.0k 0.7×	536 0.6×	644 0.9×	96	7.7k
Zhao Zhong Chong United States	65	5.1k 1.6×	1.6k 1.1×	1.3k 1.0×	413 0.5×	627 0.9×	125	9.3k
Warren Ladiges United States	39	3.7k 1.2×	1.7k 1.1×	372 0.3×	502 0.6×	1.1k 1.5×	159	6.5k
Shino Nemoto United States	18	4.5k 1.4×	2.1k 1.4×	570 0.4×	442 0.5×	785 1.1×	22	7.7k
Cheng Huang China	51	4.4k 1.4×	780 0.5×	1.2k 0.8×	363 0.4×	725 1.0×	263	8.8k
Florian L. Müller United States	34	4.1k 1.3×	1.8k 1.2×	421 0.3×	445 0.5×	729 1.0×	71	6.5k
Shaodong Guo United States	42	4.9k 1.5×	1.7k 1.1×	416 0.3×	466 0.6×	548 0.8×	92	7.3k
Anu Kauppinen Finland	51	4.6k 1.4×	2.2k 1.5×	521 0.4×	635 0.8×	355 0.5×	125	9.9k
Nadja C. de Souza‐Pinto United States	45	5.9k 1.8×	1.3k 0.9×	720 0.5×	299 0.4×	349 0.5×	86	8.1k

Countries citing papers authored by Efstathios S. Gonos

Since Specialization

Citations

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

Fields of papers citing papers by Efstathios S. Gonos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Efstathios S. Gonos. 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 Efstathios S. Gonos. The network helps show where Efstathios S. Gonos may publish in the future.

Co-authorship network of co-authors of Efstathios S. Gonos

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

All Works

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20 of 20 papers shown

Καπετάνου, Μαριάννα, et al.. (2024). α-Terpineol Induces Shelterin Components TRF1 and TRF2 to Mitigate Senescence and Telomere Integrity Loss via A Telomerase-Independent Pathway. Antioxidants. 13(10). 1258–1258.

Poulain, Michel, Anne Herm, Alessandra Errigo, et al.. (2021). Specific features of the oldest old from the Longevity Blue Zones in Ikaria and Sardinia. Mechanisms of Ageing and Development. 198. 111543–111543. 35 indexed citations

Mladenović, Aleksandra, Μαριάννα Καπετάνου, Nataša Lončarević‐Vasiljković, et al.. (2020). Pharmacological intervention in a transgenic mouse model improves Alzheimer's-associated pathological phenotype: Involvement of proteasome activation. Free Radical Biology and Medicine. 162. 88–103. 17 indexed citations

Xie, Kan, Μαριάννα Καπετάνου, Kyriaki Sidiropoulou, et al.. (2020). Signaling pathways of dietary energy restriction and metabolism on brain physiology and in age-related neurodegenerative diseases. Mechanisms of Ageing and Development. 192. 111364–111364. 6 indexed citations

Weber, Daniela, Wolfgang Stuetz, Olivier Toussaint, et al.. (2017). Associations between Specific Redox Biomarkers and Age in a Large European Cohort: The MARK‐AGE Project. Oxidative Medicine and Cellular Longevity. 2017(1). 1401452–1401452. 30 indexed citations

Weinberger, Birgit, Michael Keller, Bernhard Koller, et al.. (2017). Protection against Tetanus and Diphtheria in Europe: The impact of age, gender and country of origin based on data from the MARK-AGE Study. Experimental Gerontology. 105. 109–112. 19 indexed citations

Papaevgeniou, Nikoletta, et al.. (2016). 18α-Glycyrrhetinic Acid Proteasome Activator Decelerates Aging and Alzheimer's Disease Progression in Caenorhabditis elegans and Neuronal Cultures. Antioxidants and Redox Signaling. 25(16). 855–869. 56 indexed citations

Trachana, Varvara, et al.. (2009). CHIP ligase plays a central role in p53 regulation during senescence. FEBS Journal. 276. 252–252. 2 indexed citations

Trougakos, Ioannis P., Magda Lourda, Marianna H. Antonelou, et al.. (2008). Intracellular Clusterin Inhibits Mitochondrial Apoptosis by Suppressing p53-Activating Stress Signals and Stabilizing the Cytosolic Ku70-Bax Protein Complex. Clinical Cancer Research. 15(1). 48–59. 136 indexed citations

10.

Chondrogianni, Niki, Ioannis P. Trougakos, Dimitris Kletsas, Qin M. Chen, & Efstathios S. Gonos. (2008). Partial proteasome inhibition in human fibroblasts triggers accelerated M1 senescence or M2 crisis depending on p53 and Rb status. Aging Cell. 7(5). 717–732. 31 indexed citations

11.

Alexopoulos, Evangelos C., et al.. (2008). Biological Monitoring of Hexavalent Chromium and Serum Levels of the Senescence Biomarker Apolipoprotein J/Clusterin in Welders. Bioinorganic Chemistry and Applications. 2008(1). 420578–420578. 25 indexed citations

12.

Chondrogianni, Niki & Efstathios S. Gonos. (2007). Overexpression of hUMP1/POMP proteasome accessory protein enhances proteasome-mediated antioxidant defence. Experimental Gerontology. 42(9). 899–903. 54 indexed citations

13.

Lourda, Magda, Ioannis P. Trougakos, & Efstathios S. Gonos. (2006). Development of resistance to chemotherapeutic drugs in human osteosarcoma cell lines largely depends on up‐regulation of clusterin/apolipoprotein J. International Journal of Cancer. 120(3). 611–622. 79 indexed citations

14.

Salvioli, Stefano, Olivieri Fabiola, Francesca Marchegiani, et al.. (2006). Genes, ageing and longevity in humans: Problems, advantages and perspectives. Free Radical Research. 40(12). 1303–1323. 57 indexed citations

15.

Trougakos, Ioannis P., Alan So, Burkhard Jansen, Martin Gleave, & Efstathios S. Gonos. (2004). Silencing Expression of the Clusterin/Apolipoprotein J Gene in Human Cancer Cells Using Small Interfering RNA Induces Spontaneous Apoptosis, Reduced Growth Ability, and Cell Sensitization to Genotoxic and Oxidative Stress. Cancer Research. 64(5). 1834–1842. 185 indexed citations

16.

Trougakos, Ioannis P. & Efstathios S. Gonos. (2004). Functional Analysis of Clusterin/Apolipoprotein J in Cellular Death Induced by Severe Genotoxic Stress. Annals of the New York Academy of Sciences. 1019(1). 206–210. 21 indexed citations

17.

Bonafè, Massimiliano, Cristiana Barbi, Gianluca Storci, et al.. (2002). What studies on human longevity tell us about the risk for cancer in the oldest old: data and hypotheses on the genetics and immunology of centenarians. Experimental Gerontology. 37(10-11). 1263–1271. 50 indexed citations

18.

Petropoulou, Chariklia, et al.. (2000). Aging and Longevity: A Paradigm of Complementation between Homeostatic Mechanisms and Genetic Control?. Annals of the New York Academy of Sciences. 908(1). 133–142. 23 indexed citations

19.

Simoes, Davina C M & Efstathios S. Gonos. (1998). Alterations of gene expression during in vitro ageing: The mammalian fibroblast model. National Hellenic Research Foundation Helios Repository (National Hellenic Research Foundation). 1 indexed citations

20.

Gonos, Efstathios S., Jorge S. Burns, Susan C. Barnett, et al.. (1996). Rat Embryo Fibroblasts Immortalized with Simian Virus 40 Large T Antigen Undergo Senescence upon Its Inactivation. Molecular and Cellular Biology. 16(9). 5127–5138. 35 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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