Ulaş Işıldak
Impact in
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- Genetic diversity and population structure
- Forensic and Genetic Research
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Evolution and Genetic Dynamics
- Genetic Associations and Epidemiology
Papers in
- Genetics 5
- Genetic diversity and population structure 3
- Genetic and phenotypic traits in livestock 2
- Forensic and Genetic Research 1
- Genetic Mapping and Diversity in Plants and Animals 1
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- Single-cell and spatial transcriptomics 2
- Gene expression and cancer classification 2
- Co-authors
- Matteo Fumagalli (2 shared papers)Pavel Flegontov (3 shared papers)David Reich (2 shared papers)Piya Changmai (3 shared papers)Robert Maier (2 shared papers)Olga Flegontova (2 shared papers)Alessandro Stella (1 shared paper)Linda Pattini (1 shared paper)
- Journals
- eLife (1 paper)Molecular Ecology Resources (1 paper)Scientific Reports (1 paper)Acta Neuropathologica Communications (1 paper)Genetics (1 paper)
- Partner nations
- TürkiyeUnited KingdomUnited States
In The Last Decade
Ulaş Işıldak
7 papers receiving 216 citations
Ulaş Işıldak's Hit Papers
Peers
Comparison fields: 5 of 69
- Genetics 142
- Aging 6
- Paleontology 16
- Archeology 15
- Molecular Biology 81
Countries citing papers authored by Ulaş Işıldak
This map shows the geographic impact of Ulaş Işıldak'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 Ulaş Işıldak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulaş Işıldak more than expected).
Fields of papers citing papers by Ulaş Işıldak
This network shows the impact of papers produced by Ulaş Işıldak. 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 Ulaş Işıldak. The network helps show where Ulaş Işıldak may publish in the future.
Co-authors
The 19 scholars most cited alongside Ulaş Işıldak, 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 | On the limits of fitting complex models of population history to f-statistics Hit paper breakdown → | 2023 | 78 |
| 2 | 2019 | 64 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2025 | 3 |
About Ulaş Işıldak
Ulaş Işıldak is a scholar working on Genetics, Molecular Biology, Cancer Research, Ecology and Artificial Intelligence, having authored 7 papers that have together received 217 indexed citations. Recurring topics across this work include Genetic diversity and population structure (3 papers), Single-cell and spatial transcriptomics (2 papers), Genetic and phenotypic traits in livestock (2 papers), Gene expression and cancer classification (2 papers), interferon and immune responses (1 paper), Forensic and Genetic Research (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (142 citations), Aging (6 citations), Paleontology (16 citations), Archeology (15 citations) and Molecular Biology (81 citations). Ulaş Işıldak has collaborated with scholars based in Türkiye, United Kingdom and United States. Frequent co-authors include Matteo Fumagalli, Pavel Flegontov, David Reich, Piya Changmai, Robert Maier, Olga Flegontova, Alessandro Stella, Linda Pattini, Sara Mathieson and Mehmet Somel. Their work appears in journals such as eLife, Molecular Ecology Resources, Scientific Reports, Acta Neuropathologica Communications and 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.