Takeshi Katagiri

4.3k citations
31 papers · 3.4k indexed · 2 hit papers · h-index 17

Takeshi Katagiri

30 papers receiving 3.3k citations

Hit Papers

Three Arabidopsis SnRK2 Protein Kinases, SRK2D/SnRK2.2, S...200920262014202020092009200400600

Peers

Takeshi Katagiri
Comparison fields: 5 of 102
  • Plant Science 2.8k
  • Molecular Biology 1.6k
  • Biochemistry 250
  • Water Science and Technology 176
  • Biomedical Engineering 135
Replace Zanmin Hu with:
Zanmin Hu China
Chan Yul Yoo United States
Dario Bonetta Canada
Hualong Liu China
Yajun Wu United States
Marie Barberon Switzerland
Francisco J. Quintero Spain
Wenliang He China
Joseph Dubrovsky Mexico
Tom Hamborg Nielsen Denmark
Takeshi Katagiri relative to Zanmin Hu China Zanmin Hu's profile →
Citations per field
00.5×7.3×
Zanmin Hu · 1×
Citations per year

Countries citing papers authored by Takeshi Katagiri

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Katagiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Katagiri

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Katagiri. A scholar is included among the top collaborators of Takeshi Katagiri 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 Takeshi Katagiri. Takeshi Katagiri 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 1
2 4
3 4
4 77
5 65
6
Three Arabidopsis SnRK2 Protein Kinases, SRK2D/SnRK2.2, SRK2E/SnRK2.6/OST1 and SRK2I/SnRK2.3, Involved in ABA Signaling are Essential for the Control of Seed Development and Dormancybreakdown →
605
7
Three SnRK2 Protein Kinases are the Main Positive Regulators of Abscisic Acid Signaling in Response to Water Stress in Arabidopsisbreakdown →
572
8 313
9 119
10 3
11 124
12 190
13 116
14 139
15 8
16 32
17 45
18 410
19 226
20 0

About Takeshi Katagiri

Takeshi Katagiri is a scholar working on Plant Science, Computer Graphics and Computer-Aided Design and Biochemistry, having authored 31 papers that have together received 3.4k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (13 papers), Plant Molecular Biology Research (8 papers) and Plant nutrient uptake and metabolism (5 papers). The work is most often cited by research in Plant Science (2.8k citations), Biochemistry (250 citations) and Molecular Biology (1.6k citations). Takeshi Katagiri has collaborated with scholars based in Japan, United Kingdom and France. Frequent co-authors include Kazuo Shinozaki, Kazuko Yamaguchi‐Shinozaki, Seiji Takahashi, Kanako Ishiyama, Masatomo Kobayashi, Tsuyoshi Mizoguchi, Kazuo Nakashima, Norihito Kanamori, Taishi Umezawa and Kyonoshin Maruyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLANT PHYSIOLOGY and Biochemical and Biophysical Research Communications.

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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2026