Nikolas Dietis

1.0k total citations
28 papers, 708 citations indexed

About

Nikolas Dietis is a scholar working on Molecular Biology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nikolas Dietis has authored 28 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Physiology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Nikolas Dietis's work include Pain Mechanisms and Treatments (10 papers), Neuropeptides and Animal Physiology (9 papers) and Computational Drug Discovery Methods (5 papers). Nikolas Dietis is often cited by papers focused on Pain Mechanisms and Treatments (10 papers), Neuropeptides and Animal Physiology (9 papers) and Computational Drug Discovery Methods (5 papers). Nikolas Dietis collaborates with scholars based in Cyprus, Australia and United Kingdom. Nikolas Dietis's co-authors include David G. Lambert, David J. Rowbotham, Alok Kumar Paul, Nuri Gueven, D.J. Rowbotham, Girolamo Calò, Severo Salvadori, Remo Guerrini, Mohammed Rahmatullah and Craig M. Smith and has published in prestigious journals such as Brain Research, International Journal of Molecular Sciences and British Journal of Pharmacology.

In The Last Decade

Nikolas Dietis

25 papers receiving 694 citations

Peers

Nikolas Dietis

CMN

PHYSI

APM

SURGE

Andy Kuo Australia

Klára Gyires Hungary

Maria Smirnova France

Magda Staňková United States

Jean‐Marie Gillardin France

Viola Spahn Germany

Maja Tomić Serbia

James J. Schupsky United States

Zhiyao Wang China

Andy Kuo Australia

Nikolas Dietis

210 ×0.7

153 ×0.5

CMN

176 ×0.9

PHYSI

54 ×0.9

APM

56 ×1.1

SURGE

Citations per year, relative to Nikolas Dietis Nikolas Dietis (= 1×) peers Andy Kuo

Countries citing papers authored by Nikolas Dietis

Since Specialization

Citations

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

Fields of papers citing papers by Nikolas Dietis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Dietis

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Dietis. A scholar is included among the top collaborators of Nikolas Dietis 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 Nikolas Dietis. Nikolas Dietis 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

Dietis, Nikolas, et al.. (2025). Reduction in locomotor activity and freezing time: A dual measure for more accurate fear response in rats. Behavioural Processes. 226. 105176–105176.

Koufaris, Costas, et al.. (2025). H2A.X N-terminal acetylation is a newly identified NAA40-mediated modification that is responsive to UV irradiation. Epigenetics & Chromatin. 18(1). 46–46.

Zachariou, Margarita, et al.. (2024). DReAmocracy: A Method to Capitalise on Prior Drug Discovery Efforts to Highlight Candidate Drugs for Repurposing. International Journal of Molecular Sciences. 25(10). 5319–5319. 1 indexed citations

Zachariou, Margarita, et al.. (2023). Preliminary In Vitro and In Vivo Insights of In Silico Candidate Repurposed Drugs for Alzheimer’s Disease. Life. 13(5). 1095–1095. 3 indexed citations

Larney, Benedict Mc, Hsiao‐Ting Hsu, Magdalena Skubal, et al.. (2023). Photophysical and biological assessment of coumarin-6 loaded polymeric nanoparticles as a cancer imaging agent. Sensors & Diagnostics. 2(5). 1277–1285. 9 indexed citations

Paul, Alok Kumar, Mohammed Rahmatullah, Polrat Wilairatana, et al.. (2022). Differential Effects of a Novel Opioid Ligand UTA1003 on Antinociceptive Tolerance and Motor Behaviour. Pharmaceuticals. 15(7). 789–789. 1 indexed citations

Zachariou, Margarita, et al.. (2022). Network-based stage-specific drug repurposing for Alzheimer’s disease. Computational and Structural Biotechnology Journal. 20. 1427–1438. 16 indexed citations

Tomazou, Marios, Marilena M. Bourdakou, George Minadakis, et al.. (2021). Multi-omics data integration and network-based analysis drives a multiplex drug repurposing approach to a shortlist of candidate drugs against COVID-19. Briefings in Bioinformatics. 22(6). 22 indexed citations

Paul, Alok Kumar, Craig M. Smith, Mohammed Rahmatullah, et al.. (2021). Opioid Analgesia and Opioid-Induced Adverse Effects: A Review. Pharmaceuticals. 14(11). 1091–1091. 140 indexed citations

10.

Paul, Alok Kumar, Nuri Gueven, & Nikolas Dietis. (2021). Profiling the Effects of Repetitive Morphine Administration on Motor Behavior in Rats. Molecules. 26(14). 4355–4355. 17 indexed citations

11.

Middleton, Nicos, Constantinos Tsioutis, Ourania Kolokotroni, et al.. (2021). Gaps in Knowledge About SARS-CoV-2 & COVID-19 Among University Students Are Associated With Negative Attitudes Toward People With COVID-19: A Cross-Sectional Study in Cyprus. Frontiers in Public Health. 9. 758030–758030. 4 indexed citations

12.

Kapnisis, Konstantinos, Marianna Prokopi, Αndreas Αnayiotos, et al.. (2020). Resveratrol loaded polymeric micelles for theranostic targeting of breast cancer cells. Nanotheranostics. 5(1). 113–124. 78 indexed citations

13.

Ilmi, Rashid, et al.. (2019). A Novel Conjugate of Bis[((4-bromophenyl)amino)quinazoline], a EGFR-TK Ligand, with a Fluorescent Ru(II)-Bipyridine Complex Exhibits Specific Subcellular Localization in Mitochondria. Molecular Pharmaceutics. 16(10). 4260–4273. 23 indexed citations

14.

Pitsios, Constantinos & Nikolas Dietis. (2018). Ways to increase adherence to allergen immunotherapy. Current Medical Research and Opinion. 35(6). 1027–1031. 25 indexed citations

15.

Dietis, Nikolas, J. McDonald, Valentina Ruggieri, et al.. (2018). In vitroandin vivocharacterization of the bifunctional μ and δ opioid receptor ligand UFP‐505. British Journal of Pharmacology. 175(14). 2881–2896. 17 indexed citations

16.

Paul, Alok Kumar, Nuri Gueven, & Nikolas Dietis. (2018). Age-dependent antinociception and behavioral inhibition by morphine. Pharmacology Biochemistry and Behavior. 168. 8–16. 8 indexed citations

17.

Paul, Alok Kumar, Nuri Gueven, & Nikolas Dietis. (2018). Data on prolonged morphine-induced antinociception and behavioral inhibition in older rats. Data in Brief. 19. 183–188. 5 indexed citations

18.

Paul, Alok Kumar, Nuri Gueven, & Nikolas Dietis. (2017). Morphine dosing strategy plays a key role in the generation and duration of the produced antinociceptive tolerance. Neuropharmacology. 121. 158–166. 15 indexed citations

19.

Dietis, Nikolas, et al.. (2016). Stress-based animal models of depression: Do we actually know what we are doing?. Brain Research. 1652. 30–42. 58 indexed citations

20.

Dietis, Nikolas, Remo Guerrini, Girolamo Calò, et al.. (2009). Simultaneous targeting of multiple opioid receptors: a strategy to improve side-effect profile. British Journal of Anaesthesia. 103(1). 38–49. 129 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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