Gökhan Ertaylan

1.5k total citations · 1 hit paper
39 papers, 837 citations indexed

About

Gökhan Ertaylan is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Gökhan Ertaylan has authored 39 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Physiology. Recurrent topics in Gökhan Ertaylan's work include Metabolomics and Mass Spectrometry Studies (8 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (4 papers). Gökhan Ertaylan is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (8 papers), Bioinformatics and Genomic Networks (6 papers) and Gene expression and cancer classification (4 papers). Gökhan Ertaylan collaborates with scholars based in Belgium, Netherlands and Germany. Gökhan Ertaylan's co-authors include Antonio del Sol, Rolf Kuestner, Alexander Skupin, Sui Huang, Aymeric Fouquier d’Hérouël, Anne Große-Wilde, Kathie‐Anne Walters, Theo M. de Kok, Klára Ščupáková and Ron M. A. Heeren and has published in prestigious journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.

In The Last Decade

Gökhan Ertaylan

34 papers receiving 825 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.

Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges

2025 23 citations Yasmina Al Khalil, Marcel Breeuwer et al. Computers in Biology and Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gökhan Ertaylan Belgium	16	396	263	155	115	83	39	837
Taotao Dong China	15	616 1.6×	295 1.1×	284 1.8×	65 0.6×	62 0.7×	40	1.1k
Yoshinobu Igarashi Japan	15	696 1.8×	196 0.7×	184 1.2×	95 0.8×	81 1.0×	26	1.2k
Clement Chung United States	14	515 1.3×	168 0.6×	82 0.5×	238 2.1×	36 0.4×	49	955
Shichen Shen United States	18	709 1.8×	129 0.5×	95 0.6×	319 2.8×	109 1.3×	53	1.0k
Yunjun Wang China	17	727 1.8×	89 0.3×	139 0.9×	260 2.3×	72 0.9×	47	1.5k
Stéphane Camuzeaux United Kingdom	14	330 0.8×	143 0.5×	95 0.6×	159 1.4×	67 0.8×	30	636
Stella Somiari United States	17	722 1.8×	237 0.9×	390 2.5×	217 1.9×	64 0.8×	28	1.4k
Naoko Toki Japan	7	802 2.0×	107 0.4×	411 2.7×	92 0.8×	85 1.0×	10	1.1k
Olga V. Tikhonova Russia	17	473 1.2×	62 0.2×	76 0.5×	190 1.7×	45 0.5×	80	803
Yubing Zhou China	19	524 1.3×	186 0.7×	249 1.6×	39 0.3×	66 0.8×	56	1.0k

Countries citing papers authored by Gökhan Ertaylan

Since Specialization

Citations

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

Fields of papers citing papers by Gökhan Ertaylan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gökhan Ertaylan

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

Khalil, Yasmina Al, Marcel Breeuwer, Josien P. W. Pluim, et al.. (2025). Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challenges. Computers in Biology and Medicine. 189. 109834–109834. 23 indexed citations breakdown →

Denil, Simon, et al.. (2025). The unusual suspect: A novel role for intermediate filament proteins in mitochondrial morphology. Mitochondrion. 81. 102008–102008. 1 indexed citations

Maas, Saskia M., Simon Denil, Brigitte Maes, Gökhan Ertaylan, & Pieter‐Jan Volders. (2025). Dynamic star allele definitions in Pharmacogenomics: impact on diplotype calls, Phenotype predictions and statin therapy recommendations. Frontiers in Pharmacology. 16. 1584658–1584658. 1 indexed citations

Coşkun, Abdurrahman, et al.. (2024). Advancing personalized medicine: Integrating statistical algorithms with omics and nano-omics for enhanced diagnostic accuracy and treatment efficacy. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(7). 167339–167339. 14 indexed citations

Bergh, Sverre, Luis E. De Las Casas, Gökhan Ertaylan, Guido Van Hal, & Jos Bessems. (2024). Language as a barrier to colorectal cancer screening in Flanders: An ecological study. Journal of Cancer Policy. 43. 100538–100538.

Jamiołkowski, Jacek, Valentino D’Onofrio, Dirk Valkenborg, et al.. (2024). Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison. Briefings in Bioinformatics. 26(1).

Lambrechts, Nathalie, Richard M. Brohet, Andrea W.M. Evers, et al.. (2023). Personal Genomes in Practice: Exploring Citizen and Healthcare Professionals’ Perspectives on Personalized Genomic Medicine and Personal Health Data Spaces Using a Mixed-Methods Design. Genes. 14(4). 786–786. 3 indexed citations

Jiang, Jian, Gökhan Ertaylan, Ralf Peeters, et al.. (2023). Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets. Archives of Toxicology. 97(11). 2969–2981. 10 indexed citations

Cavill, Rachel, Evgueni Smirnov, Michael Lenz, et al.. (2023). Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data. PLoS ONE. 18(11). e0292030–e0292030.

10.

D’Onofrio, Valentino, Inge Grondman, Johan Vanwalleghem, et al.. (2022). A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis. Journal of Intensive Care. 10(1). 13–13. 8 indexed citations

11.

Kalafati, Marianthi, Michael Lenz, Gökhan Ertaylan, et al.. (2021). Assessing the Contribution of Relative Macrophage Frequencies to Subcutaneous Adipose Tissue. Frontiers in Nutrition. 8. 675935–675935. 1 indexed citations

12.

Driessens, Kurt, Evgueni Smirnov, Michael Lenz, et al.. (2020). Use of deep learning methods to translate drug-induced gene expression changes from rat to human primary hepatocytes. PLoS ONE. 15(8). e0236392–e0236392. 4 indexed citations

13.

Lenz, Michael, Ilja C.W. Arts, Ralf Peeters, Theo M. de Kok, & Gökhan Ertaylan. (2020). Adipose tissue in health and disease through the lens of its building blocks. Scientific Reports. 10(1). 10433–10433. 57 indexed citations

14.

Jiang, Jian, et al.. (2019). The application of omics-based human liver platforms for investigating the mechanism of drug-induced hepatotoxicity in vitro. Archives of Toxicology. 93(11). 3067–3098. 18 indexed citations

15.

Lenz, Michael, Joerg Liebmann, Gökhan Ertaylan, et al.. (2019). Characterization of disease-specific cellular abundance profiles of chronic inflammatory skin conditions from deconvolution of biopsy samples. BMC Medical Genomics. 12(1). 121–121. 20 indexed citations

16.

Ertaylan, Gökhan, Charlotte Le Cornet, Eline H. van Roekel, et al.. (2017). A Comparative Study on the WCRF International/University of Bristol Methodology for Systematic Reviews of Mechanisms Underpinning Exposure–Cancer Associations. Cancer Epidemiology Biomarkers & Prevention. 26(11). 1583–1594. 8 indexed citations

17.

Aulicino, Francesco, Gökhan Ertaylan, Aniello Cerrato, et al.. (2017). Wnt/Tcf1 pathway restricts embryonic stem cell cycle through activation of the Ink4/Arf locus. PLoS Genetics. 13(3). e1006682–e1006682. 37 indexed citations

18.

Große-Wilde, Anne, Aymeric Fouquier d’Hérouël, Gökhan Ertaylan, et al.. (2015). Stemness of the hybrid Epithelial/Mesenchymal State in Breast Cancer and Its Association with Poor Survival. PLoS ONE. 10(5). e0126522–e0126522. 277 indexed citations

19.

Dijk, David van, Gökhan Ertaylan, Charles A. Boucher, & P.M.A. Sloot. (2010). Identifying potential survival strategies of HIV-1 through virus-host protein interaction networks. BMC Systems Biology. 4(1). 96–96. 32 indexed citations

20.

Ertaylan, Gökhan & P.M.A. Sloot. (2007). A complex automata model of HIV-1 co-receptor tropism: Understanding mutation rate pressure. Open Repository and Bibliography (University of Luxembourg).

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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