Takuya Yoshida

10.1k citations
67 papers · 7.3k indexed · 7 hit papers · h-index 33
Topics
Plant Stress Responses and Tolerance (31 papers)Plant Molecular Biology Research (31 papers)Plant nutrient uptake and metabolism (15 papers)
Journals
NatureNature CommunicationsSHILAP Revista de lepidopterología
Partner nations
JapanGermanyBrazil

In The Last Decade

Takuya Yoshida

65 papers receiving 7.2k citations

Hit Papers

AREB1, AREB2, and ABF3 are master transcription factors t...200920262014202020092014200920092014250500750

Peers

Takuya Yoshida
Comparison fields: 5 of 121
  • Plant Science 5.9k
  • Molecular Biology 3.3k
  • Biomedical Engineering 571
  • Ecology, Evolution, Behavior and Systematics 207
  • Catalysis 206
Replace Toshiyuki Ohnishi with:
Toshiyuki Ohnishi Japan
Cinzia M. Bertea Italy
Stephan Pollmann Spain
Filip Rolland Belgium
Christophe Bailly France
Brandon d. Moore United States
Nobuyuki Uozumi Japan
Kazuyuki Kuchitsu Japan
Yunde Zhao United States
Hubert Felle Germany
Takuya Yoshida relative to Toshiyuki Ohnishi Japan Toshiyuki Ohnishi's profile →
Citations per field
00.5×10×15×20×25×
Toshiyuki Ohnishi · 1×
Citations per year

Countries citing papers authored by Takuya Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Yoshida

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Yoshida. A scholar is included among the top collaborators of Takuya Yoshida 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 Takuya Yoshida. Takuya Yoshida 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 0
2 1
3 0
4 7
5 34
6 11
7 101
8 79
9 21
10 32
11 35
12 3
13 96
14 121
15 21
16 169
17 9
18 245
19
Structural basis of abscisic acid signallingbreakdown →
447
20 18

About Takuya Yoshida

Takuya Yoshida is a scholar working on Plant Science, Structural Biology and Molecular Biology, having authored 67 papers that have together received 7.3k indexed citations. Recurring topics across this work include Plant Stress Responses and Tolerance (31 papers), Plant Molecular Biology Research (31 papers) and Plant nutrient uptake and metabolism (15 papers). The work is most often cited by research in Plant Science (5.9k citations), Molecular Biology (3.3k citations) and Catalysis (206 citations). Takuya Yoshida has collaborated with scholars based in Japan, Germany and Brazil. Frequent co-authors include Kazuko Yamaguchi‐Shinozaki, Yasunari Fujita, Junro Mogami, Kazuo Shinozaki, Kyonoshin Maruyama, Satoshi Kidokoro, Alisdair R. Fernie, Junya Mizoi, Yukihiko Matsumura and Daisuke Todaka. Their work appears in journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

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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