Ferhat Ay
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Epigenetics and DNA Methylation
- RNA and protein synthesis mechanisms
- Immunology top 5%
Papers in
-
- Genomics and Chromatin Dynamics 41
- Bioinformatics and Genomic Networks 13
- RNA Research and Splicing 11
- Epigenetics and DNA Methylation 10
- Gene Regulatory Network Analysis 9
- RNA modifications and cancer 9
- Genomics and Phylogenetic Studies 8
- Immunology 18
- Co-authors
- William Stafford NobleTimothy L. BaileyPandurangan VijayanandSourya BhattacharyyaJean‐Philippe VertNelle VaroquauxAbhijit ChakrabortyGrégory Seumois
- Journals
- Genome Research (9 papers)Nature Communications (8 papers)Bioinformatics (7 papers)Genome biology (7 papers)Science Immunology (4 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Ferhat Ay
80 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.8k
- Immunology 618
- Genetics 646
- Infectious Diseases 423
- Cancer Research 307
Countries citing papers authored by Ferhat Ay
This map shows the geographic impact of Ferhat Ay'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 Ferhat Ay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ferhat Ay more than expected).
Fields of papers citing papers by Ferhat Ay
This network shows the impact of papers produced by Ferhat Ay. 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 Ferhat Ay. The network helps show where Ferhat Ay may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ferhat Ay, 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 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 38 | |
| 6 | 2022 | 28 | |
| 7 | 2022 | 9 | |
| 8 | 2021 | 3 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 149 | |
| 11 | 2021 | 40 | |
| 12 | 2020 | 71 | |
| 13 | 2019 | 71 | |
| 14 | 2019 | 25 | |
| 15 | 2019 | 17 | |
| 16 | 2018 | 13 | |
| 17 | 2017 | 57 | |
| 18 | 2017 | 54 | |
| 19 | 2016 | 28 | |
| 20 | 2015 | 170 |
About Ferhat Ay
Ferhat Ay is a scholar working on Molecular Biology, Immunology, Virology, Cancer Research and Genetics, having authored 85 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (41 papers), Bioinformatics and Genomic Networks (13 papers), Chromosomal and Genetic Variations (11 papers), RNA Research and Splicing (11 papers), Epigenetics and DNA Methylation (10 papers), Gene Regulatory Network Analysis (9 papers), RNA modifications and cancer (9 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Immunology (618 citations), Genetics (646 citations), Infectious Diseases (423 citations) and Cancer Research (307 citations). Ferhat Ay has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include William Stafford Noble, Timothy L. Bailey, Pandurangan Vijayanand, Sourya Bhattacharyya, Jean‐Philippe Vert, Nelle Varoquaux, Abhijit Chakraborty, Grégory Seumois, Tamer Kahveci and Ciro Ramírez-Suástegui. Their work appears in journals such as Genome Research, Nature Communications, Bioinformatics, Genome biology and Science Immunology.
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.