Keiichi Okazaki

2.7k citations
86 papers · 1.9k indexed · h-index 29
Topics
Plant Reproductive Biology (25 papers)Plant Disease Resistance and Genetics (21 papers)Chromosomal and Genetic Variations (17 papers)
Partner nations
JapanBangladeshAustralia

In The Last Decade

Keiichi Okazaki

86 papers receiving 1.8k citations

Peers

Keiichi Okazaki
Comparison fields: 5 of 64
  • Plant Science 1.7k
  • Molecular Biology 1.2k
  • Ecology, Evolution, Behavior and Systematics 402
  • Cell Biology 221
  • Genetics 165
Replace Jeong‐Hwan Mun with:
Jeong‐Hwan Mun South Korea
Hiroyuki Iketani Japan
Takeo Harada Japan
Bruce Adie Spain
Ryan Percifield United States
Carlos M. Vicient Spain
Hengxiu Yu China
Qingzhe Zhai China
Leah K. McHale United States
Yang Yen United States
Keiichi Okazaki relative to Jeong‐Hwan Mun South Korea Jeong‐Hwan Mun's profile →
Citations per field
00.5×3.0×
Jeong‐Hwan Mun · 1×
Citations per year

Countries citing papers authored by Keiichi Okazaki

Since Specialization
Citations

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

Fields of papers citing papers by Keiichi Okazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiichi Okazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Okazaki. A scholar is included among the top collaborators of Keiichi Okazaki 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 Keiichi Okazaki. Keiichi Okazaki 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 3
3 7
4 1
5 4
6 19
7 36
8 18
9 1
10 43
11 4
12 32
13
Nitrogen uptake rate with compost application and its effect on the quality of Japanese radish (Raphanus sativus L.) and sweet corn (Zea mays L.).
1
14
Evaluation of resistance in Brassica rapa to dark pod spot (Alternaria brassicicola) using the in vitro detached pod assay.
2
15 9
16 32
17 4
18 139
19 6
20 45

About Keiichi Okazaki

Keiichi Okazaki is a scholar working on Plant Science, Cell Biology and Molecular Biology, having authored 86 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Reproductive Biology (25 papers), Plant Disease Resistance and Genetics (21 papers) and Chromosomal and Genetic Variations (17 papers). The work is most often cited by research in Plant Science (1.7k citations), Ecology, Evolution, Behavior and Systematics (402 citations) and Molecular Biology (1.2k citations). Keiichi Okazaki has collaborated with scholars based in Japan, Bangladesh and Australia. Frequent co-authors include Ryo Fujimoto, Agnieszka Marasek-Ciołakowska, Tomotaro Nishikawa, Motoki Shimizu, Tsukasa Nagamine, Satoru Matsumoto, Kokichi Hinata, Takahiro Kawanabe, Takeshi Nishio and Makoto Kusaba. Their work appears in journals such as Nature, Scientific Reports and Genetics.

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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