Loukas Zagkos

425 total citations · 1 hit paper
22 papers, 179 citations indexed

About

Loukas Zagkos is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Loukas Zagkos has authored 22 papers receiving a total of 179 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Molecular Biology and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Loukas Zagkos's work include Genetic Associations and Epidemiology (11 papers), Epigenetics and DNA Methylation (5 papers) and Obesity, Physical Activity, Diet (3 papers). Loukas Zagkos is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Epigenetics and DNA Methylation (5 papers) and Obesity, Physical Activity, Diet (3 papers). Loukas Zagkos collaborates with scholars based in United Kingdom, Denmark and United States. Loukas Zagkos's co-authors include Dipender Gill, Benjamin Woolf, Héléne T. Cronjé, Mark T. Mc Auley, Stephen Burgess, Susanna C. Larsson, Nikos I. Kavallaris, Ioanna Tzoulaki, Marie‐Joe Dib and Fotios Drenos and has published in prestigious journals such as Nature Medicine, Neurology and Stroke.

In The Last Decade

Loukas Zagkos

21 papers receiving 176 citations

Hit Papers

Proteomic changes upon treatment with semaglutide in indi... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loukas Zagkos United Kingdom 8 52 49 23 22 21 22 179
Olga Giannakopoulou United Kingdom 7 53 1.0× 39 0.8× 13 0.6× 12 0.5× 17 0.8× 12 164
Magda Wojtara United States 7 30 0.6× 47 1.0× 36 1.6× 25 1.1× 9 0.4× 37 203
Smeeta Shrestha Singapore 10 32 0.6× 78 1.6× 30 1.3× 12 0.5× 10 0.5× 18 247
Youjie Zeng China 7 31 0.6× 81 1.7× 27 1.2× 11 0.5× 31 1.5× 43 189
Amna Khamis United Kingdom 8 72 1.4× 77 1.6× 34 1.5× 29 1.3× 52 2.5× 11 214
María Teresa Flores-Dorantes Mexico 4 41 0.8× 66 1.3× 38 1.7× 34 1.5× 58 2.8× 4 208
Gianluca Piccolo Italy 8 72 1.4× 90 1.8× 30 1.3× 49 2.2× 27 1.3× 30 254
Mayu Watanabe Japan 9 17 0.3× 66 1.3× 39 1.7× 33 1.5× 38 1.8× 32 256
Juyoung Lee South Korea 9 79 1.5× 76 1.6× 18 0.8× 28 1.3× 13 0.6× 18 202
Jing Shen China 8 23 0.4× 24 0.5× 26 1.1× 31 1.4× 37 1.8× 20 167

Countries citing papers authored by Loukas Zagkos

Since Specialization
Citations

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

Fields of papers citing papers by Loukas Zagkos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loukas Zagkos

This figure shows the co-authorship network connecting the top 25 collaborators of Loukas Zagkos. A scholar is included among the top collaborators of Loukas Zagkos 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 Loukas Zagkos. Loukas Zagkos 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.
Maretty, Lasse, Dipender Gill, Lotte Simonsen, et al.. (2025). Proteomic changes upon treatment with semaglutide in individuals with obesity. Nature Medicine. 31(1). 267–277. 20 indexed citations breakdown →
3.
Zagkos, Loukas, et al.. (2024). Using genetics to investigate the association between lanosterol and cataract. Frontiers in Genetics. 15. 1231521–1231521. 3 indexed citations
4.
Zagkos, Loukas, Marie‐Joe Dib, Héléne T. Cronjé, et al.. (2024). Cerebrospinal Fluid C1-Esterase Inhibitor and Tie-1 Levels Affect Cognitive Performance: Evidence from Proteome-Wide Mendelian Randomization. Genes. 15(1). 71–71. 1 indexed citations
5.
Zagkos, Loukas, Héléne T. Cronjé, Benjamin Woolf, et al.. (2024). Genetic investigation into the broad health implications of caffeine: evidence from phenome-wide, proteome-wide and metabolome-wide Mendelian randomization. BMC Medicine. 22(1). 81–81. 3 indexed citations
6.
Woolf, Benjamin, Héléne T. Cronjé, Loukas Zagkos, et al.. (2024). Comparison of caffeine consumption behavior with plasma caffeine levels as exposure measures in drug-target mendelian randomization. American Journal of Epidemiology. 193(12). 1776–1784. 8 indexed citations
7.
Woolf, Benjamin, Amy M. Mason, Loukas Zagkos, et al.. (2024). MRSamePopTest: introducing a simple falsification test for the two-sample mendelian randomisation ‘same population’ assumption. BMC Research Notes. 17(1). 27–27. 2 indexed citations
8.
Zagkos, Loukas, Georgios Markozannes, Wei Xu, et al.. (2023). Appraising the Causal Role of Risk Factors in Coronary Artery Disease and Stroke: A Systematic Review of Mendelian Randomization Studies. Journal of the American Heart Association. 12(20). e029040–e029040. 5 indexed citations
9.
Giontella, Alice, Héléne T. Cronjé, Loukas Zagkos, et al.. (2023). Caffeine Intake, Plasma Caffeine Level, and Kidney Function: A Mendelian Randomization Study. Nutrients. 15(20). 4422–4422. 7 indexed citations
10.
Woolf, Benjamin, Héléne T. Cronjé, Loukas Zagkos, et al.. (2023). Appraising the causal relationship between plasma caffeine levels and neuropsychiatric disorders through Mendelian randomization. BMC Medicine. 21(1). 296–296. 14 indexed citations
11.
Giontella, Alice, Loukas Zagkos, Milan S. Geybels, et al.. (2023). Renoprotective effects of genetically proxied fibroblast growth factor 21: Mendelian randomization, proteome-wide and metabolome-wide association study. Metabolism. 145. 155616–155616. 9 indexed citations
12.
Zagkos, Loukas, Fotios Drenos, Pauline Emmett, et al.. (2023). Associations of adolescents’ diet and meal patterns with school performance in the Northern Finland Birth Cohort 1986: A Mendelian randomisation study. Appetite. 190. 107036–107036. 1 indexed citations
13.
Gill, Dipender, Benjamin Woolf, Loukas Zagkos, Héléne T. Cronjé, & Ioanna Tzoulaki. (2023). Cardiovascular Efficacy of Lipid-Lowering Drug Targets Is Not Entirely Explained by Apolipoprotein B Reduction: Mendelian Randomization Evidence. Circulation Genomic and Precision Medicine. 16(5). 490–492. 1 indexed citations
14.
Gill, Dipender, Loukas Zagkos, Thomas Benzing, et al.. (2023). The citrate transporter SLC13A5 as a therapeutic target for kidney disease: evidence from Mendelian randomization to inform drug development. BMC Medicine. 21(1). 504–504. 4 indexed citations
15.
Zagkos, Loukas, Marie‐Joe Dib, Rui Pinto, et al.. (2022). Associations of genetically predicted fatty acid levels across the phenome: A mendelian randomisation study. PLoS Medicine. 19(12). e1004141–e1004141. 25 indexed citations
16.
Woolf, Benjamin, Loukas Zagkos, & Dipender Gill. (2022). TwoStepCisMR: A Novel Method and R Package for Attenuating Bias in cis-Mendelian Randomization Analyses. Genes. 13(9). 1541–1541. 24 indexed citations
17.
Dib, Marie‐Joe, Kourosh R. Ahmadi, Loukas Zagkos, et al.. (2022). Associations of Genetically Predicted Vitamin B12 Status across the Phenome. Nutrients. 14(23). 5031–5031. 4 indexed citations
18.
Zagkos, Loukas, et al.. (2021). A mathematical model which examines age-related stochastic fluctuations in DNA maintenance methylation. Experimental Gerontology. 156. 111623–111623. 5 indexed citations
19.
Zagkos, Loukas, et al.. (2019). Data-driven selection and parameter estimation for DNA methylation mathematical models. Journal of Theoretical Biology. 467. 87–99. 6 indexed citations
20.
Zagkos, Loukas, et al.. (2018). Mathematical models of DNA methylation dynamics: Implications for health and ageing. Journal of Theoretical Biology. 462. 184–193. 18 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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