Gökhan Ertaylan

1.5k citations
39 papers · 837 indexed · 1 hit paper · h-index 16
Topics
Metabolomics and Mass Spectrometry Studies (8 papers)Bioinformatics and Genomic Networks (6 papers)Gene expression and cancer classification (4 papers)

In The Last Decade

Gökhan Ertaylan

34 papers receiving 825 citations

Hit Papers

Generative AI for synthetic data across multiple medical ...2025202620255101520

Peers

Gökhan Ertaylan
Comparison fields: 5 of 121
  • Molecular Biology 396
  • Oncology 263
  • Cancer Research 155
  • Spectroscopy 115
  • Epidemiology 83
Replace Duojiao Wu with:
Duojiao Wu China
Lei Cao China
Katsuhisa Horimoto Japan
Max Kotlyar Canada
Konstantinos Sidiropoulos United Kingdom
Bei Liu United States
Francesca Cordero Italy
Teemu D. Laajala Finland
Juan‐Carlos Rodríguez‐Prados United Kingdom
Yukiko Matsuoka Japan
Gökhan Ertaylan relative to Duojiao Wu China Duojiao Wu's profile →
Citations per field
00.5×3.8×
Duojiao Wu · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Generative AI for synthetic data across multiple medical modalities: A systematic review of recent developments and challengesbreakdown →
23
3 1
4 14
5 0
6 0
7 3
8 0
9 10
10 8
11 1
12 4
13 57
14 18
15 20
16 23
17 8
18 32
19 5
20
A complex automata model of HIV-1 co-receptor tropism: Understanding mutation rate pressure
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) and Gene expression and cancer classification (4 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.

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