Bekir Ülker

3.1k citations
15 papers · 2.3k indexed · 2 hit papers · h-index 13
Topics
CRISPR and Genetic Engineering (6 papers)Plant tissue culture and regeneration (6 papers)Chromosomal and Genetic Variations (4 papers)

In The Last Decade

Bekir Ülker

15 papers receiving 2.2k citations

Hit Papers

WRKY transcription factors: from DNA binding towards biol...200420262011201820042006250500750

Peers

Bekir Ülker
Comparison fields: 5 of 79
  • Plant Science 1.9k
  • Molecular Biology 1.5k
  • Biotechnology 145
  • Cell Biology 70
  • Insect Science 67
Replace Lucía Jordá with:
Lucía Jordá Spain
Fábio Tebaldi Silveira Nogueira Brazil
Kangquan Yin China
Hanyang Cai China
Young‐Min Woo South Korea
Yumiko Shirano Japan
Yoshiki Habu Japan
Jens Tiedemann Germany
Haiyang Jiang China
Bekir Ülker relative to Lucía Jordá Spain Lucía Jordá's profile →
Citations per field
00.5×1.5×1.9×
Lucía Jordá · 1×
Citations per year

Countries citing papers authored by Bekir Ülker

Since Specialization
Citations

This map shows the geographic impact of Bekir Ülker'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 Bekir Ülker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bekir Ülker more than expected).

Fields of papers citing papers by Bekir Ülker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bekir Ülker. 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 Bekir Ülker. The network helps show where Bekir Ülker may publish in the future.

Co-authorship network of co-authors of Bekir Ülker

This figure shows the co-authorship network connecting the top 25 collaborators of Bekir Ülker. A scholar is included among the top collaborators of Bekir Ülker 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 Bekir Ülker. Bekir Ülker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 38
2 81
3 5
4 53
5 51
6 96
7 225
8
Nuclear Activity of MLA Immune Receptors Links Isolate-Specific and Basal Disease-Resistance Responsesbreakdown →
577
9 140
10 32
11 39
12 67
13
WRKY transcription factors: from DNA binding towards biological functionbreakdown →
811
14 6
15 62

About Bekir Ülker

Bekir Ülker is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 15 papers that have together received 2.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Plant tissue culture and regeneration (6 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Plant Science (1.9k citations), Molecular Biology (1.5k citations) and Horticulture (19 citations). Bekir Ülker has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Imre E. Somssich, M. Shahid Mukhtar, Paul Schulze‐Lefert, Christoph Biskup, Stéphane Bieri, Beat Keller, Qian‐Hua Shen, Yusuke Saijo, Hikaru Seki and Elke Logemann. Their work appears in journals such as Science, 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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