Şadiye Hayta

2.5k citations
24 papers · 787 indexed · 1 hit paper · h-index 12
Topics
Plant tissue culture and regeneration (9 papers)CRISPR and Genetic Engineering (7 papers)Chromosomal and Genetic Variations (7 papers)

In The Last Decade

Şadiye Hayta

21 papers receiving 771 citations

Hit Papers

A GRF–GIF chimeric protein improves the regeneration effi...20202026202220242020100200300

Peers

Şadiye Hayta
Comparison fields: 5 of 50
  • Plant Science 653
  • Molecular Biology 541
  • Biotechnology 84
  • Genetics 78
  • Agronomy and Crop Science 41
Replace Mark A. Smedley with:
Mark A. Smedley United Kingdom
Toni Wendt Denmark
Zhengxiang Ge United States
Anjanasree K. Neelakandan United States
Chunguo Wang China
Babar Usman China
Joon‐Seob Eom South Korea
Nathan T. Reem United States
Phat Tien Vietnam
Seung Woon Bang South Korea
Şadiye Hayta relative to Mark A. Smedley United Kingdom Mark A. Smedley's profile →
Citations per field
00.5×1.5×
Mark A. Smedley · 1×
Citations per year

Countries citing papers authored by Şadiye Hayta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Şadiye Hayta

This figure shows the co-authorship network connecting the top 25 collaborators of Şadiye Hayta. A scholar is included among the top collaborators of Şadiye Hayta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Şadiye Hayta. Şadiye Hayta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 3
3 0
4 0
5 1
6 10
7 10
8 4
9 3
10 7
11 43
12
A GRF–GIF chimeric protein improves the regeneration efficiency of transgenic plantsbreakdown →
384
13 90
14 17
15 60
16 12
17 3
18 16
19
Determination of yield, essential oil and chamazulene content of species belong to Achillea millefolium L. group.
0
20 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) and Chromosomal and Genetic Variations (7 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.

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