Dimos Kapetis

2.7k total citations
26 papers, 979 citations indexed

About

Dimos Kapetis is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Dimos Kapetis has authored 26 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Genetics and 7 papers in Immunology. Recurrent topics in Dimos Kapetis's work include Ion channel regulation and function (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Dimos Kapetis is often cited by papers focused on Ion channel regulation and function (5 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Dimos Kapetis collaborates with scholars based in Italy, United States and Netherlands. Dimos Kapetis's co-authors include Serena Pellegatta, Gaetano Finocchiaro, Catharina G. Faber, Stephen G. Waxman, Giuseppe Lauria, Monique M. Gerrits, Xiaoyang Cheng, Raffaella Lombardi, Janneke G. J. Hoeijmakers and Chongyang Han and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Dimos Kapetis

26 papers receiving 962 citations

Peers

Dimos Kapetis
Indrani Datta United States
Jason Gibson United States
Chaim Jalas United States
Iksoo Jeon South Korea
Massimo Ganassi United Kingdom
Indrani Datta United States
Dimos Kapetis
Citations per year, relative to Dimos Kapetis Dimos Kapetis (= 1×) peers Indrani Datta

Countries citing papers authored by Dimos Kapetis

Since Specialization
Citations

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

Fields of papers citing papers by Dimos Kapetis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dimos Kapetis

This figure shows the co-authorship network connecting the top 25 collaborators of Dimos Kapetis. A scholar is included among the top collaborators of Dimos Kapetis 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 Dimos Kapetis. Dimos Kapetis 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.
Xenakis, Markos, Dimos Kapetis, Yang Yang, et al.. (2021). Hydropathicity-based prediction of pain-causing NaV1.7 variants. BMC Bioinformatics. 22(1). 212–212. 2 indexed citations
2.
Xenakis, Markos, Dimos Kapetis, Yang Yang, et al.. (2021). Non-extensitivity and criticality of atomic hydropathicity around a voltage-gated sodium channel’s pore: a modeling study. Journal of Biological Physics. 47(1). 61–77. 3 indexed citations
3.
Zanotti, Simona, Dimos Kapetis, Sara Gibertini, et al.. (2018). Botulinum toxin type A affects the transcriptome of cell cultures derived from muscle biopsies of controls and spastic patients. Toxicology in Vitro. 50. 124–136. 2 indexed citations
4.
Cordiglieri, Chiara, Fulvio Baggi, Pia Bernasconi, et al.. (2016). Identification of a gene expression signature in peripheral blood of multiple sclerosis patients treated with disease-modifying therapies. Clinical Immunology. 173. 133–146. 9 indexed citations
5.
Galbardi, Barbara, Silvia Bonanno, Rita Frangiamore, et al.. (2016). A novel ABCC6 haplotype is associated with azathioprine drug response in myasthenia gravis. Pharmacogenetics and Genomics. 27(2). 51–56. 5 indexed citations
6.
Karch, Celeste M., Lubov Ezerskiy, Veronica Redaelli, et al.. (2015). Missense mutations in progranulin gene associated with frontotemporal lobar degeneration: study of pathogenetic features. Neurobiology of Aging. 38. 215.e1–215.e12. 17 indexed citations
7.
Marcuzzo, Stefania, Silvia Bonanno, Dimos Kapetis, et al.. (2015). Up-regulation of neural and cell cycle-related microRNAs in brain of amyotrophic lateral sclerosis mice at late disease stage. Molecular Brain. 8(1). 5–5. 49 indexed citations
8.
Kapetis, Dimos, et al.. (2015). The multidrug-resistance transporter Abcc3 protects NK cells from chemotherapy in a murine model of malignant glioma. OncoImmunology. 5(5). e1108513–e1108513. 24 indexed citations
9.
Pellegatta, Serena, et al.. (2014). NK CELLS FROM GLIOMA-BEARING MICE TREATED WITH TEMOZOLOMIDE ARE ENRICHED FOR GENES RELATED TO MULTI-DRUG RESISTANCE AND CHEMOTAXIS. Neuro-Oncology. 16(suppl 3). iii42–iii52. 1 indexed citations
10.
Cappelletti, Cristina, Barbara Galbardi, Dimos Kapetis, et al.. (2014). Autophagy, Inflammation and Innate Immunity in Inflammatory Myopathies. PLoS ONE. 9(11). e111490–e111490. 42 indexed citations
11.
Brugnoni, Raffaella, Dimos Kapetis, Paola Imbrici, et al.. (2013). A large cohort of myotonia congenita probands: novel mutations and a high-frequency mutation region in exons 4 and 5 of the CLCN1 gene. Journal of Human Genetics. 58(9). 581–587. 39 indexed citations
12.
Marcuzzo, Stefania, Dimos Kapetis, Renato Mantegazza, et al.. (2013). Altered miRNA expression is associated with neuronal fate in G93A-SOD1 ependymal stem progenitor cells. Experimental Neurology. 253. 91–101. 31 indexed citations
13.
Faber, Catharina G., Giuseppe Lauria, Ingemar S.J. Merkies, et al.. (2012). Gain-of-function Na v 1.8 mutations in painful neuropathy. Proceedings of the National Academy of Sciences. 109(47). 19444–19449. 328 indexed citations
14.
Spiering, Rachel, Ruurd van der Zee, Josée P. A. Wagenaar, et al.. (2012). Tolerogenic Dendritic Cells That Inhibit Autoimmune Arthritis Can Be Induced by a Combination of Carvacrol and Thermal Stress. PLoS ONE. 7(9). e46336–e46336. 13 indexed citations
15.
Salemi, Michele, Concetta Barone, Corrado Romano, et al.. (2012). Gene expression profiling and qRT-PCR expression of RRP1B, PCNT, KIF21A and ADRB2 in leucocytes of Down’s syndrome subjects. Journal of Genetics. 93(S1). 18–23. 5 indexed citations
16.
Kapetis, Dimos, Ferdinando Clarelli, Nicole Kerlero de Rosbo, et al.. (2012). AMDA 2.13: A Major Update for Automated Cross-Platform Microarray Data Analysis. BioTechniques. 53(1). 33–40. 6 indexed citations
17.
Frattini, Veroniquè, Federica Pisati, Maria C. Speranza, et al.. (2012). FOXP3, a novel glioblastoma oncosuppressor, affects proliferation and migration. Oncotarget. 3(10). 1146–1157. 22 indexed citations
18.
Povero, Giovanni, Elena Loreti, Chiara Pucciariello, et al.. (2011). Transcript profiling of chitosan-treated Arabidopsis seedlings. Journal of Plant Research. 124(5). 619–629. 65 indexed citations
19.
Orzan, Francesca, Serena Pellegatta, Pietro Luigi Poliani, et al.. (2010). Enhancer of Zeste 2 (EZH2) is up-regulated in malignant gliomas and in glioma stem-like cells. Neuropathology and Applied Neurobiology. 37(4). 381–394. 103 indexed citations
20.
Docquier, Jean‐Denis, Manuela Benvenuti, V. Calderone, et al.. (2010). Crystal Structure of the Narrow-Spectrum OXA-46 Class D β-Lactamase: Relationship between Active-Site Lysine Carbamylation and Inhibition by Polycarboxylates. Antimicrobial Agents and Chemotherapy. 54(5). 2167–2174. 33 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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