Gökhan Ertaylan
- Oncology top 10%
- Spectroscopy top 10%
- Advanced Proteomics Techniques and Applications 4
- Mass Spectrometry Techniques and Applications 3
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- Metabolomics and Mass Spectrometry Studies 8
- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 4
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- HIV Research and Treatment 3
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- Liver Disease Diagnosis and Treatment 3
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- Adipose Tissue and Metabolism 3
- Co-authors
- Antonio del SolAnne Große-WildeAymeric Fouquier d’HérouëlSui HuangRolf KuestnerAlexander SkupinKathie‐Anne WaltersTheo M. de Kok
- Cited by
- Cancer ResearchOncologySpectroscopy
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Gökhan Ertaylan
34 papers receiving 825 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Cancer Research 155
- Oncology 263
- Spectroscopy 115
- Health Informatics 9
- Molecular Biology 396
Countries citing papers authored by Gökhan Ertaylan
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
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
The 25 scholars most cited alongside Gökhan Ertaylan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challengesbreakdown → | 2025 | 23 |
| 3 | 2025 | 1 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 57 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 23 | |
| 17 | 2017 | 8 | |
| 18 | 2010 | 32 | |
| 19 | 2010 | 5 | |
| 20 | A complex automata model of HIV-1 co-receptor tropism: Understanding mutation rate pressure | 2007 | 0 |
About Gökhan Ertaylan
Gökhan Ertaylan is a scholar working on Virology, Developmental Neuroscience and Biological Psychiatry, having authored 39 papers that have together received 837 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (4 papers), Advanced Proteomics Techniques and Applications (4 papers), Mass Spectrometry Techniques and Applications (3 papers), HIV Research and Treatment (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Adipose Tissue and Metabolism (3 papers). The work is most often cited by research in Cancer Research (155 citations), Oncology (263 citations) and Spectroscopy (115 citations). Gökhan Ertaylan has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Antonio del Sol, Anne Große-Wilde, Aymeric Fouquier d’Hérouël, Sui Huang, Rolf Kuestner, Alexander Skupin, Kathie‐Anne Walters, Theo M. de Kok, Ron M. A. Heeren and Ilja C.W. Arts. Their work appears in journals such as Bioinformatics, PLoS ONE and Analytical Chemistry.
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.