Ferhat Ay
Impact in
- Molecular Biology top 2%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
Papers in
-
- Genomics and Chromatin Dynamics 42
- Bioinformatics and Genomic Networks 6
- Immunology 14
- T-cell and B-cell Immunology 7
- Co-authors
- William Stafford Noble (12 shared papers)Pandurangan Vijayanand (9 shared papers)Sourya Bhattacharyya (10 shared papers)Abhijit Chakraborty (13 shared papers)Nelle Varoquaux (5 shared papers)Grégory Seumois (6 shared papers)Jean‐Philippe Vert (5 shared papers)Tamer Kahveci (9 shared papers)
- Journals
- Nature Communications (9 papers)Genome biology (8 papers)Bioinformatics (7 papers)Science Immunology (5 papers)Cell (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Ferhat Ay
87 papers receiving 5.4k citations
Ferhat Ay's Hit Papers
Peers
Comparison fields: 5 of 112
- Molecular Biology 3.2k
- Infectious Diseases 476
- Immunology 450
- Genetics 573
- Cancer Research 217
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 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE Hit paper breakdown → | 2010 | 944 |
| 2 | 2020 | 444 | |
| 3 | 2018 | 260 | |
| 4 | 2019 | 196 | |
| 5 | 2021 | 191 | |
| 6 | 2014 | 184 | |
| 7 | 2015 | 181 | |
| 8 | 2014 | 155 | |
| 9 | 2019 | 150 | |
| 10 | 2020 | 143 | |
| 11 | 2020 | 135 | |
| 12 | 2018 | 127 | |
| 13 | 2015 | 118 | |
| 14 | 2019 | 108 | |
| 15 | 2016 | 105 | |
| 16 | 2015 | 97 | |
| 17 | 2021 | 97 | |
| 18 | 2020 | 87 | |
| 19 | 2021 | 86 | |
| 20 | 2019 | 80 |
About Ferhat Ay
Ferhat Ay is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Dermatology, having authored 89 papers that have together received 5.4k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (42 papers), T-cell and B-cell Immunology (7 papers), Malaria Research and Control (6 papers), Bioinformatics and Genomic Networks (6 papers), Genetic Associations and Epidemiology (4 papers), Cancer-related molecular mechanisms research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Infectious Diseases (476 citations), Immunology (450 citations), Genetics (573 citations) and Cancer Research (217 citations). Ferhat Ay has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William Stafford Noble, Pandurangan Vijayanand, Sourya Bhattacharyya, Abhijit Chakraborty, Nelle Varoquaux, Grégory Seumois, Jean‐Philippe Vert, Tamer Kahveci, Christian H. H. Ottensmeier and Ciro Ramírez-Suástegui. Their work appears in journals such as Nature Communications, Genome biology, Bioinformatics, Science Immunology and Cell.
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.