Olga Deda

775 total citations
42 papers, 547 citations indexed

About

Olga Deda is a scholar working on Molecular Biology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Olga Deda has authored 42 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 11 papers in Physiology and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Olga Deda's work include Metabolomics and Mass Spectrometry Studies (23 papers), Diet and metabolism studies (8 papers) and Gut microbiota and health (6 papers). Olga Deda is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (23 papers), Diet and metabolism studies (8 papers) and Gut microbiota and health (6 papers). Olga Deda collaborates with scholars based in Greece, United Kingdom and Cyprus. Olga Deda's co-authors include Helen Gika, Georgios Theodoridis, Ian D. Wilson, Νikolaos Raikos, Olga Begou, Ioannis Taitzoglou, Efstratios Karagiannidis, Georgios Sianos, Anastasia Chrysovalantou Chatziioannou and Eleftherios Panteris and has published in prestigious journals such as Molecules, Analytica Chimica Acta and Nutrients.

In The Last Decade

Olga Deda

38 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Olga Deda Greece 15 347 130 65 53 47 42 547
Katharina M. Rund Germany 15 207 0.6× 75 0.6× 26 0.4× 44 0.8× 192 4.1× 23 619
Sumin Zhao China 12 313 0.9× 90 0.7× 22 0.3× 59 1.1× 160 3.4× 17 609
Alfred Ajami United States 11 160 0.5× 125 1.0× 29 0.4× 23 0.4× 91 1.9× 14 581
Mei Cheng China 15 346 1.0× 105 0.8× 81 1.2× 6 0.1× 47 1.0× 39 720
Yiqiang Xie China 7 313 0.9× 58 0.4× 13 0.2× 38 0.7× 14 0.3× 14 531
Anabel García‐Heredia Spain 19 175 0.5× 78 0.6× 57 0.9× 16 0.3× 89 1.9× 40 752
Linda Kortz Germany 14 430 1.2× 81 0.6× 10 0.2× 213 4.0× 46 1.0× 18 786
Xiangchang Zeng China 15 366 1.1× 128 1.0× 20 0.3× 8 0.2× 23 0.5× 23 707
Pilar Parra Spain 12 237 0.7× 177 1.4× 16 0.2× 32 0.6× 148 3.1× 20 542
Albert Yan‐Wo Chan Hong Kong 11 151 0.4× 46 0.4× 24 0.4× 55 1.0× 9 0.2× 19 510

Countries citing papers authored by Olga Deda

Since Specialization
Citations

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

Fields of papers citing papers by Olga Deda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Deda

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Deda. A scholar is included among the top collaborators of Olga Deda 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 Olga Deda. Olga Deda 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.
Deda, Olga, Sarah Adams, Magda Tsolaki, et al.. (2025). UHPLC-MS/MS analysis of PFAS in the serum of patients with Alzheimer's disease, mild cognitive impairment and controls: A preliminary study. Journal of Chromatography B. 1266. 124738–124738. 1 indexed citations
2.
Begou, Olga, Konstantinos Lallas, Eleni Agakidou, et al.. (2024). Gastric Fluid Metabolomics Predicting the Need for Surfactant Replacement Therapy in Very Preterm Infants Results of a Case–Control Study. Metabolites. 14(4). 196–196.
3.
4.
Petrović, Snježana, et al.. (2024). Unveiling Lipidomic Alterations in Metabolic Syndrome: A Study of Plasma, Liver, and Adipose Tissues in a Dietary-Induced Rat Model. Nutrients. 16(20). 3466–3466. 1 indexed citations
5.
Begou, Olga, Olga Deda, Christos T. Nakas, et al.. (2023). A Cohort Study of Gastric Fluid and Urine Metabolomics for the Prediction of Survival in Severe Prematurity. Metabolites. 13(6). 708–708. 2 indexed citations
6.
Deda, Olga, Melina Kachrimanidou, Emily G. Armitage, et al.. (2022). Metabolic Phenotyping Study of Mouse Brain Following Microbiome Disruption by C. difficile Colonization. Metabolites. 12(11). 1039–1039. 4 indexed citations
7.
Deda, Olga, et al.. (2022). Investigation of salivary biomarkers as indicators of skeletal and dental maturity in children. Orthodontics and Craniofacial Research. 25(4). 576–584. 2 indexed citations
8.
Panteris, Eleftherios, Olga Deda, Αndreas S. Papazoglou, et al.. (2022). Machine Learning Algorithm to Predict Obstructive Coronary Artery Disease: Insights from the CorLipid Trial. Metabolites. 12(9). 816–816. 11 indexed citations
9.
Deda, Olga, Olga Begou, Helen Gika, et al.. (2022). A Prospective, Case-Control Study of Serum Metabolomics in Neonates with Late-Onset Sepsis and Necrotizing Enterocolitis. Journal of Clinical Medicine. 11(18). 5270–5270. 11 indexed citations
10.
Begou, Olga, Antigoni Pavlaki, Olga Deda, et al.. (2021). Diminished Systemic Amino Acids Metabolome and Lipid Peroxidation in Ureteropelvic Junction Obstruction (UPJO) Infants Requiring Surgery. Journal of Clinical Medicine. 10(7). 1467–1467. 3 indexed citations
11.
Deda, Olga, Christina Virgiliou, Helen Gika, et al.. (2021). Evaluation of Cocaine Effect on Endogenous Metabolites of HepG2 Cells Using Targeted Metabolomics. Molecules. 26(15). 4610–4610. 6 indexed citations
12.
Karagiannidis, Efstratios, Αndreas S. Papazoglou, Nikolaos Stalikas, et al.. (2021). Serum Ceramides as Prognostic Biomarkers of Large Thrombus Burden in Patients with STEMI: A Micro-Computed Tomography Study. Journal of Personalized Medicine. 11(2). 89–89. 12 indexed citations
13.
Sofidis, Georgios, Nikolaos Stalikas, Efstratios Karagiannidis, et al.. (2021). Association of GRACE Risk Score with Coronary Artery Disease Complexity in Patients with Acute Coronary Syndrome. Journal of Clinical Medicine. 10(10). 2210–2210. 9 indexed citations
14.
Begou, Olga, Aikaterina Siopi, Olga Deda, et al.. (2020). Effects of Aging, Long-Term and Lifelong Exercise on the Urinary Metabolic Footprint of Rats. Metabolites. 10(12). 481–481. 2 indexed citations
15.
Siopi, Aikaterina, Olga Deda, Vasiliki Manou, et al.. (2019). Comparison of the Serum Metabolic Fingerprint of Different Exercise Modes in Men with and without Metabolic Syndrome. Metabolites. 9(6). 116–116. 18 indexed citations
16.
17.
Virgiliou, Christina, et al.. (2017). Metabolic profiling study of shikonin's cytotoxic activity in the Huh7 human hepatoma cell line. Molecular BioSystems. 13(5). 841–851. 9 indexed citations
18.
Siopi, Aikaterina, Olga Deda, Vasiliki Manou, et al.. (2017). Effects of Different Exercise Modes on the Urinary Metabolic Fingerprint of Men with and without Metabolic Syndrome. Metabolites. 7(1). 5–5. 25 indexed citations
19.
Deda, Olga, Helen Gika, Ioannis Taitzoglou, Νikolaos Raikos, & Georgios Theodoridis. (2017). Impact of Exercise and Aging on Rat Urine and Blood Metabolome. An LC-MS Based Metabolomics Longitudinal Study. Metabolites. 7(1). 10–10. 26 indexed citations
20.
Deda, Olga, Helen Gika, Ian D. Wilson, & Georgios Theodoridis. (2015). An overview of fecal sample preparation for global metabolic profiling. Journal of Pharmaceutical and Biomedical Analysis. 113. 137–150. 93 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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