Ferhat Ay
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Immunology top 5%
Papers in
-
- Genomics and Chromatin Dynamics 34
- RNA Research and Splicing 10
- Bioinformatics and Genomic Networks 10
- Epigenetics and DNA Methylation 7
- Gene Regulatory Network Analysis 7
- Immunology 18
- T-cell and B-cell Immunology 7
- Immune Cell Function and Interaction 7
- Co-authors
- William Stafford Noble (16 shared papers)Timothy L. Bailey (1 shared paper)Pandurangan Vijayanand (12 shared papers)Sourya Bhattacharyya (11 shared papers)Nelle Varoquaux (6 shared papers)Jean‐Philippe Vert (6 shared papers)Abhijit Chakraborty (14 shared papers)Grégory Seumois (8 shared papers)
- 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
81 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 128
- Molecular Biology 2.8k
- Immunology 575
- Infectious Diseases 388
- Genetics 595
- Cancer Research 291
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-authors
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
Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 344 | |
| 2 | 2014 | 318 | |
| 3 | 2015 | 172 | |
| 4 | 2014 | 170 | |
| 5 | 2014 | 157 | |
| 6 | 2021 | 154 | |
| 7 | 2014 | 152 | |
| 8 | 2019 | 123 | |
| 9 | 2020 | 122 | |
| 10 | 2015 | 119 | |
| 11 | 2015 | 113 | |
| 12 | 2020 | 112 | |
| 13 | 2019 | 102 | |
| 14 | 2015 | 96 | |
| 15 | 2012 | 92 | |
| 16 | 2016 | 89 | |
| 17 | 2021 | 83 | |
| 18 | 2015 | 77 | |
| 19 | 2021 | 75 | |
| 20 | 2019 | 74 |
About Ferhat Ay
Ferhat Ay is a scholar working on Molecular Biology, Immunology, Genetics, Plant Science and Cancer Research, having authored 86 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (34 papers), RNA Research and Splicing (10 papers), Bioinformatics and Genomic Networks (10 papers), Chromosomal and Genetic Variations (8 papers), Epigenetics and DNA Methylation (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Gene Regulatory Network Analysis (7 papers). The work is most often cited by research in Molecular Biology (2.8k citations), Immunology (575 citations), Infectious Diseases (388 citations), Genetics (595 citations) and Cancer Research (291 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, Nelle Varoquaux, Jean‐Philippe Vert, 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.