Fatma Ayhan
Impact in
-
- Genetic Neurodegenerative Diseases
- Developmental Neuroscience top 10%
Papers in
-
- Suicide and Self-Harm Studies 3
- COVID-19 and Mental Health 2
-
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 2
- Co-authors
- Geneviève Konopka (7 shared papers)Sevil İnal (1 shared paper)Nejla Canbulat Şahiner (2 shared papers)Tao Zu (3 shared papers)Mónica Báñez-Coronel (3 shared papers)Laura P.W. Ranum (3 shared papers)Anthony T. Yachnis (2 shared papers)Juan C. Troncoso (2 shared papers)
- Journals
- Neuron (3 papers)Journal of Advanced Nursing (1 paper)The EMBO Journal (1 paper)Science Advances (1 paper)The International Journal of Health Planning and Management (1 paper)
- Partner nations
- TürkiyeUnited StatesJapan
In The Last Decade
Fatma Ayhan
37 papers receiving 786 citations
Peers
Comparison fields: 5 of 98
- Cellular and Molecular Neuroscience 305
- Developmental Neuroscience 44
- Neurology 116
- Neurology 50
- Molecular Biology 431
Countries citing papers authored by Fatma Ayhan
This map shows the geographic impact of Fatma Ayhan'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 Fatma Ayhan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatma Ayhan more than expected).
Fields of papers citing papers by Fatma Ayhan
This network shows the impact of papers produced by Fatma Ayhan. 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 Fatma Ayhan. The network helps show where Fatma Ayhan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fatma Ayhan, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 242 | |
| 2 | 2014 | 110 | |
| 3 | 2017 | 102 | |
| 4 | 2021 | 98 | |
| 5 | 2018 | 47 | |
| 6 | 2023 | 39 | |
| 7 | 2018 | 30 | |
| 8 | 2021 | 19 | |
| 9 | 2021 | 19 | |
| 10 | 2024 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 11 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 6 | |
| 15 | 2015 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2025 | 3 |
About Fatma Ayhan
Fatma Ayhan is a scholar working on Clinical Psychology, Molecular Biology, Social Psychology, Sociology and Political Science and Health, having authored 45 papers that have together received 808 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Intimate Partner and Family Violence (4 papers), Autism Spectrum Disorder Research (3 papers), Suicide and Self-Harm Studies (3 papers), Attachment and Relationship Dynamics (2 papers), Adolescent Sexual and Reproductive Health (2 papers), COVID-19 and Mental Health (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (305 citations), Developmental Neuroscience (44 citations), Neurology (116 citations), Neurology (50 citations) and Molecular Biology (431 citations). Fatma Ayhan has collaborated with scholars based in Türkiye, United States and Japan. Frequent co-authors include Geneviève Konopka, Sevil İnal, Nejla Canbulat Şahiner, Tao Zu, Mónica Báñez-Coronel, Laura P.W. Ranum, Anthony T. Yachnis, Juan C. Troncoso, B. Pérez and Solaleh Khoramian Tusi. Their work appears in journals such as Neuron, Journal of Advanced Nursing, The EMBO Journal, Science Advances and The International Journal of Health Planning and Management.
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.