Nil Aygün
Impact in
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- Tryptophan and brain disorders
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- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Epigenetics and DNA Methylation 4
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- Genetics 6
- Genetics and Neurodevelopmental Disorders 5
- Genomic variations and chromosomal abnormalities 3
- Genetic Syndromes and Imprinting 2
- Co-authors
- Dan Liang (9 shared papers)Jason L. Stein (9 shared papers)Laetitia Weinhard (1 shared paper)Susan M. Dymecki (1 shared paper)Cornelius T. Gross (1 shared paper)Giulia Di Bartolomei (1 shared paper)Urtė Neniškytė (1 shared paper)Augustė Vadišiūtė (1 shared paper)
- Journals
- The American Journal of Human Genetics (2 papers)Nature Neuroscience (2 papers)Developmental Neurobiology (1 paper)Biological Psychiatry (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Nil Aygün
10 papers receiving 221 citations
Peers
Comparison fields: 5 of 52
- Biological Psychiatry 22
- Neurology 55
- Developmental Neuroscience 24
- Behavioral Neuroscience 20
- Genetics 68
Countries citing papers authored by Nil Aygün
This map shows the geographic impact of Nil Aygün'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 Nil Aygün with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nil Aygün more than expected).
Fields of papers citing papers by Nil Aygün
This network shows the impact of papers produced by Nil Aygün. 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 Nil Aygün. The network helps show where Nil Aygün may publish in the future.
Co-authors
The 25 scholars most cited alongside Nil Aygün, 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 | 2017 | 76 | |
| 2 | 2020 | 50 | |
| 3 | 2021 | 43 | |
| 4 | 2021 | 25 | |
| 5 | 2023 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 4 | |
| 9 | 2024 | 1 | |
| 10 | 2022 | 1 |
About Nil Aygün
Nil Aygün is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Behavioral Neuroscience and Cognitive Neuroscience, having authored 10 papers that have together received 222 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (5 papers), Epigenetics and DNA Methylation (4 papers), Genomics and Chromatin Dynamics (3 papers), Genomic variations and chromosomal abnormalities (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Genetic Syndromes and Imprinting (2 papers) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Biological Psychiatry (22 citations), Neurology (55 citations), Developmental Neuroscience (24 citations), Behavioral Neuroscience (20 citations) and Genetics (68 citations). Nil Aygün has collaborated with scholars based in United States and Italy. Frequent co-authors include Dan Liang, Jason L. Stein, Laetitia Weinhard, Susan M. Dymecki, Cornelius T. Gross, Giulia Di Bartolomei, Urtė Neniškytė, Augustė Vadišiūtė, Michael I. Love and Michael J. Lafferty. Their work appears in journals such as The American Journal of Human Genetics, Nature Neuroscience, Developmental Neurobiology, Biological Psychiatry and Human Molecular Genetics.
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.