Kiichi Fukui

10.3k citations
250 papers · 7.0k indexed · 1 hit paper · h-index 45
Topics
Chromosomal and Genetic Variations (90 papers)Genomics and Chromatin Dynamics (44 papers)Plant tissue culture and regeneration (36 papers)

In The Last Decade

Kiichi Fukui

250 papers receiving 6.8k citations

Hit Papers

High-speed molecular spectral imaging of tissue with stim...20122026201620212012100200300

Peers

Kiichi Fukui
Comparison fields: 5 of 146
  • Molecular Biology 4.2k
  • Plant Science 3.5k
  • Biophysics 892
  • Genetics 783
  • Biomedical Engineering 626
Replace Jan Willem Borst with:
Jan Willem Borst Netherlands
Sachihiro Matsunaga Japan
Peter Shaw United Kingdom
Geoffrey S. Waldo United States
Milton J. Cormier United States
Mark A. Hink Netherlands
Lars‐Oliver Essen Germany
A.S. Arvai United States
Roger Heim United States
Péter Nagy Hungary
Kiichi Fukui relative to Jan Willem Borst Netherlands Jan Willem Borst's profile →
Citations per field
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Jan Willem Borst · 1×
Citations per year

Countries citing papers authored by Kiichi Fukui

Since Specialization
Citations

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

Fields of papers citing papers by Kiichi Fukui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kiichi Fukui

This figure shows the co-authorship network connecting the top 25 collaborators of Kiichi Fukui. A scholar is included among the top collaborators of Kiichi Fukui 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 Kiichi Fukui. Kiichi Fukui 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 2
2 2
3 12
4 8
5 1
6
Agrobacterium-Mediated Transformation of Jojoba [Simmondsia chinensis (Link.) Schneider]
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7 6
8 5
9 9
10 3
11 126
12 113
13 27
14 4
15 11
16 101
17 21
18
Visual detection of useful genes on plant chromosomes.
1
19 3
20
Implication of the Image Analysis Methods in Biotechnology
2

About Kiichi Fukui

Kiichi Fukui is a scholar working on Structural Biology, Plant Science and Biophysics, having authored 250 papers that have together received 7.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (90 papers), Genomics and Chromatin Dynamics (44 papers) and Plant tissue culture and regeneration (36 papers). The work is most often cited by research in Biophysics (892 citations), Plant Science (3.5k citations) and Structural Biology (123 citations). Kiichi Fukui has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Susumu Uchiyama, Nobuko Ohmido, Sachihiro Matsunaga, Kazuyoshi Itoh, Yasuyuki Ozeki, Hideaki Takata, Shigeki Nakayama, Katsuyuki Kakeda, Tsunehito Higashi and Shin’ichiro Kajiyama. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry 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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