Seisuke Kimura

6.1k citations
128 papers · 3.9k indexed · 1 hit paper · h-index 33

Seisuke Kimura

124 papers receiving 3.8k citations

Hit Papers

Titanium dioxide nanoparticles (TiO2 NPs) promote growth ...3512020202620222024100200300

Peers

Seisuke Kimura
Comparison fields: 5 of 134
  • Plant Science 2.6k
  • Molecular Biology 2.4k
  • Ecology, Evolution, Behavior and Systematics 267
  • Horticulture 10
  • Cell Biology 155
Replace Jisen Shi with:
Jisen Shi China
Yue Zhang China
Timothy Nelson United States
Keiichi Mochida Japan
Shuang Wu China
Lin Fang China
Prem L. Bhalla Australia
Weining Song China
Hikmet Budak Türkiye
Seyed Abolghasem Mohammadi Iran
Seisuke Kimura relative to Jisen Shi China Jisen Shi's profile →
Citations per field
00.5×1.7×
Jisen Shi · 1×
Citations per year

Countries citing papers authored by Seisuke Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Seisuke Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Seisuke Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seisuke Kimura Line = papers co-authored together Seisuke Kimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20245
2 20243
3 202313
4 20231
5 20232
6 20219
7 202021
8 20203
9 2018104
10 201711
11 20170
12 2012120
13 20078
14 20059
15 20055
16 20047
17 2004166
18 200333
19 200212
20 20004

About Seisuke Kimura

Seisuke Kimura is a scholar working on Plant Science, Molecular Biology, Horticulture, Ecology, Evolution, Behavior and Systematics and Endocrinology, having authored 128 papers that have together received 3.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (36 papers), DNA Repair Mechanisms (31 papers), Plant Genetic and Mutation Studies (25 papers), Plant Reproductive Biology (18 papers), Photosynthetic Processes and Mechanisms (15 papers), Plant tissue culture and regeneration (14 papers), Chromosomal and Genetic Variations (11 papers) and Plant responses to water stress (10 papers). The work is most often cited by research in Plant Science (2.6k citations), Molecular Biology (2.4k citations), Ecology, Evolution, Behavior and Systematics (267 citations), Horticulture (10 citations) and Cell Biology (155 citations). Seisuke Kimura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kengo Sakaguchi, Neelima Sinha, Toyotaka Ishibashi, Kaoru Yoshiyama, Junji Hashimoto, Tomoaki Sakamoto, Hokuto Nakayama, Daniel Koenig, Gholamreza Gohari and Ali Akbari. Their work appears in journals such as Plant Molecular Biology, Frontiers in Plant Science, Biochemical and Biophysical Research Communications, Gene and Cold Spring Harbor Protocols.

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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