Ken‐ichiro Hayashi

8.3k citations
124 papers · 6.0k indexed · 1 hit paper · h-index 41
Topics
Plant Molecular Biology Research (67 papers)Plant Reproductive Biology (37 papers)Plant nutrient uptake and metabolism (25 papers)

In The Last Decade

Ken‐ichiro Hayashi

122 papers receiving 5.9k citations

Hit Papers

The main auxin biosynthesis pathway in Arabidopsis20112026201620212011250500750

Peers

Ken‐ichiro Hayashi
Comparison fields: 5 of 132
  • Plant Science 4.1k
  • Molecular Biology 3.9k
  • Pharmacology 364
  • Ecology, Evolution, Behavior and Systematics 310
  • Organic Chemistry 267
Replace Pengcheng Wang with:
Pengcheng Wang China
Gul Shad Ali United States
Sang Yeol Lee South Korea
Wan Chan Hong Kong
Junko Ishida Japan
Tsuyoshi Nakagawa Japan
Kiminori Toyooka Japan
Makoto Kawamukai Japan
Nobutaka Takahashi Japan
Haimei Chen China
Ken‐ichiro Hayashi relative to Pengcheng Wang China Pengcheng Wang's profile →
Citations per field
00.5×9.2×
Pengcheng Wang · 1×
Citations per year

Countries citing papers authored by Ken‐ichiro Hayashi

Since Specialization
Citations

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

Fields of papers citing papers by Ken‐ichiro Hayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken‐ichiro Hayashi. 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 Ken‐ichiro Hayashi. The network helps show where Ken‐ichiro Hayashi may publish in the future.

Co-authorship network of co-authors of Ken‐ichiro Hayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Ken‐ichiro Hayashi. A scholar is included among the top collaborators of Ken‐ichiro Hayashi 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 Ken‐ichiro Hayashi. Ken‐ichiro Hayashi 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 1
4 1
5 5
6 17
7 5
8 25
9 136
10 23
11 50
12 29
13 15
14 36
15 47
16 70
17 283
18 87
19 49
20 166

About Ken‐ichiro Hayashi

Ken‐ichiro Hayashi is a scholar working on Plant Science, Toxicology and Molecular Biology, having authored 124 papers that have together received 6.0k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (67 papers), Plant Reproductive Biology (37 papers) and Plant nutrient uptake and metabolism (25 papers). The work is most often cited by research in Plant Science (4.1k citations), Molecular Biology (3.9k citations) and Horticulture (26 citations). Ken‐ichiro Hayashi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hirōshi Nozaki, Hiroshi Kawaide, Hiroyuki Kasahara, Yunde Zhao, Toshinori Kinoshita, Koji Takahashi, Tatsuya Sakai, Yuji Kamiya, Masahiro Natsume and Keita Tanaka. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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