Şadiye Hayta
- Plant Science top 5%
- Chromosomal and Genetic Variations 7
- Wheat and Barley Genetics and Pathology 5
- Phytochemistry and Biological Activities 3
- Plant Disease Resistance and Genetics 2
- Biotechnology top 10%
-
- Plant tissue culture and regeneration 9
- CRISPR and Genetic Engineering 7
-
- Plant Pathogens and Fungal Diseases 3
-
- Bioenergy crop production and management 2
- Co-authors
- Juan M. DebernardiPamela C. RonaldDavid M. TricoliMaría Florencia ErcoliJorge DubcovskyJavier F. PalatnikMark A. SmedleyWendy Harwood
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Biotechnology (1 paper)The Plant Cell (1 paper)
- Partner nations
- United KingdomChinaTürkiye
In The Last Decade
Şadiye Hayta
21 papers receiving 771 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Plant Science 653
- Biotechnology 84
- Molecular Biology 541
- Business and International Management 11
- Horticulture 4
Countries citing papers authored by Şadiye Hayta
This map shows the geographic impact of Şadiye Hayta'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 Şadiye Hayta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Şadiye Hayta more than expected).
Fields of papers citing papers by Şadiye Hayta
This network shows the impact of papers produced by Şadiye Hayta. 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 Şadiye Hayta. The network helps show where Şadiye Hayta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Şadiye Hayta, 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 | 2025 | 4 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 43 | |
| 12 | A GRF–GIF chimeric protein improves the regeneration efficiency of transgenic plantsbreakdown → | 2020 | 384 |
| 13 | 2019 | 90 | |
| 14 | 2018 | 17 | |
| 15 | 2018 | 60 | |
| 16 | 2016 | 12 | |
| 17 | 2015 | 3 | |
| 18 | 2015 | 16 | |
| 19 | Determination of yield, essential oil and chamazulene content of species belong to Achillea millefolium L. group. | 2013 | 0 |
| 20 | 2011 | 24 |
About Şadiye Hayta
Şadiye Hayta is a scholar working on Plant Science, Molecular Biology and Biotechnology, having authored 24 papers that have together received 787 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (9 papers), CRISPR and Genetic Engineering (7 papers), Chromosomal and Genetic Variations (7 papers), Wheat and Barley Genetics and Pathology (5 papers), Phytochemistry and Biological Activities (3 papers), Plant Pathogens and Fungal Diseases (3 papers), Bioenergy crop production and management (2 papers) and Plant Disease Resistance and Genetics (2 papers). The work is most often cited by research in Plant Science (653 citations), Biotechnology (84 citations) and Molecular Biology (541 citations). Şadiye Hayta has collaborated with scholars based in United Kingdom, China and Türkiye. Frequent co-authors include Juan M. Debernardi, Pamela C. Ronald, David M. Tricoli, María Florencia Ercoli, Jorge Dubcovsky, Javier F. Palatnik, Mark A. Smedley, Wendy Harwood, Martha Clarke and Aynur Gürel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and The Plant 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.