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
- Genetic Associations and Epidemiology
- Evolution and Genetic Dynamics
Papers in
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- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 2
- Genetics 4
- Genetic diversity and population structure 2
- Forensic and Genetic Research 1
- Co-authors
- Matteo Fumagalli (2 shared papers)Piya Changmai (3 shared papers)Pavel Flegontov (3 shared papers)Robert Maier (2 shared papers)David Reich (2 shared papers)Olga Flegontova (2 shared papers)Linda Pattini (1 shared paper)Sara Mathieson (1 shared paper)
- Journals
- Genetics (1 paper)Molecular Ecology Resources (1 paper)Scientific Reports (1 paper)Acta Neuropathologica Communications (1 paper)eLife (1 paper)
- Partner nations
- TürkiyeUnited StatesUnited Kingdom
In The Last Decade
Ulaş Işıldak
7 papers receiving 227 citations
Ulaş Işıldak's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 146
- Aging 6
- Paleontology 16
- Archeology 17
- Molecular Biology 76
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 | 83 |
| 2 | 2019 | 68 | |
| 3 | 2021 | 30 | |
| 4 | 2020 | 29 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 5 | |
| 7 | 2025 | 3 |
About Ulaş Işıldak
Ulaş Işıldak is a scholar working on Molecular Biology, Genetics, Cancer Research, Ecology and Artificial Intelligence, having authored 7 papers that have together received 227 indexed citations. Recurring topics across this work include Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (2 papers), Genetic diversity and population structure (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Isotope Analysis in Ecology (1 paper), Census and Population Estimation (1 paper), Cancer Genomics and Diagnostics (1 paper) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Genetics (146 citations), Aging (6 citations), Paleontology (16 citations), Archeology (17 citations) and Molecular Biology (76 citations). Ulaş Işıldak has collaborated with scholars based in Türkiye, United States and United Kingdom. Frequent co-authors include Matteo Fumagalli, Piya Changmai, Pavel Flegontov, Robert Maier, David Reich, Olga Flegontova, Linda Pattini, Sara Mathieson, Alessandro Stella and Mehmet Somel. Their work appears in journals such as Genetics, Molecular Ecology Resources, Scientific Reports, Acta Neuropathologica Communications and eLife.
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.