Kazutoshi Sawada

518 total citations
26 papers, 317 citations indexed

About

Kazutoshi Sawada is a scholar working on Molecular Biology, Biotechnology and Plant Science. According to data from OpenAlex, Kazutoshi Sawada has authored 26 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Biotechnology and 7 papers in Plant Science. Recurrent topics in Kazutoshi Sawada's work include Transgenic Plants and Applications (11 papers), Plant tissue culture and regeneration (7 papers) and Liquid Crystal Research Advancements (5 papers). Kazutoshi Sawada is often cited by papers focused on Transgenic Plants and Applications (11 papers), Plant tissue culture and regeneration (7 papers) and Liquid Crystal Research Advancements (5 papers). Kazutoshi Sawada collaborates with scholars based in Japan, Belgium and United States. Kazutoshi Sawada's co-authors include Takeshi Matsui, Ko Kato, Eiji Takita, Atsuhiko Shinmyō, Takashi Hamabata, Hiroshi Asao, Osamu Kodama, Takayuki Kohchi, Morifumi Hasegawa and Kazuya Yoshida and has published in prestigious journals such as Scientific Reports, Plant and Soil and Japanese Journal of Applied Physics.

In The Last Decade

Kazutoshi Sawada

23 papers receiving 302 citations

Peers

Kazutoshi Sawada
Comparison fields: 5 of 49
  • Molecular Biology 173
  • Plant Science 132
  • Biotechnology 102
  • Electronic, Optical and Magnetic Materials 33
  • Infectious Diseases 28
Replace Mi Lin with:
Mi Lin China
Heather A. Lee United Kingdom
J. Iulek Brazil
Kevin L. Jagessar United States
Yanjie Yi China
Claude Bosso France
Luigi Monti Italy
Ashim Kumar Biswas India
Jelto Swaving Netherlands
M. Machida Japan
Mi Lin China View profile →
Citations per field, relative to Kazutoshi Sawada
Kazutoshi Sawada · 1×
Citations per year, relative to Kazutoshi Sawada
Kazutoshi Sawada · 1×

Countries citing papers authored by Kazutoshi Sawada

Since Specialization
Citations

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

Fields of papers citing papers by Kazutoshi Sawada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazutoshi Sawada

This figure shows the co-authorship network connecting the top 25 collaborators of Kazutoshi Sawada. A scholar is included among the top collaborators of Kazutoshi Sawada 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 Kazutoshi Sawada. Kazutoshi Sawada 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
# Work Indexed citations
1 1
2 3
3 10
4 4
5 6
6 8
7 13
8 15
9 35
10 28
11 25
12 56
13 11
14 9
15 16
16 0
17 3
18 0
19 1
20 1

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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