Kiichi Fukui

10.3k total citations · 1 hit paper
250 papers, 7.0k citations indexed

About

Kiichi Fukui is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Kiichi Fukui has authored 250 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Molecular Biology, 134 papers in Plant Science and 30 papers in Genetics. Recurrent topics in Kiichi Fukui's work include Chromosomal and Genetic Variations (90 papers), Genomics and Chromatin Dynamics (44 papers) and Plant tissue culture and regeneration (36 papers). Kiichi Fukui is often cited by papers focused on Chromosomal and Genetic Variations (90 papers), Genomics and Chromatin Dynamics (44 papers) and Plant tissue culture and regeneration (36 papers). Kiichi Fukui collaborates with scholars based in Japan, United States and United Kingdom. Kiichi Fukui's 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 and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Kiichi Fukui

250 papers receiving 6.8k citations

Hit Papers

High-speed molecular spectral imaging of tissue with stim... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kiichi Fukui Japan 45 4.2k 3.5k 892 783 626 250 7.0k
Jan Willem Borst Netherlands 40 2.8k 0.7× 2.3k 0.7× 587 0.7× 157 0.2× 324 0.5× 102 5.0k
Peter Shaw United Kingdom 55 6.3k 1.5× 4.8k 1.4× 491 0.6× 535 0.7× 293 0.5× 161 8.5k
Sachihiro Matsunaga Japan 42 3.8k 0.9× 3.3k 0.9× 258 0.3× 576 0.7× 215 0.3× 219 5.8k
Marcus A. Hemminga Netherlands 35 2.1k 0.5× 869 0.2× 629 0.7× 133 0.2× 214 0.3× 166 4.0k
Milton J. Cormier United States 39 5.1k 1.2× 858 0.2× 1.2k 1.3× 469 0.6× 1.0k 1.6× 113 6.4k
Zhouxin Shen United States 45 3.9k 0.9× 2.0k 0.6× 53 0.1× 415 0.5× 292 0.5× 91 6.5k
Lars‐Oliver Essen Germany 49 6.1k 1.5× 3.1k 0.9× 311 0.3× 445 0.6× 235 0.4× 174 8.7k
Mark A. Hink Netherlands 30 2.8k 0.7× 558 0.2× 1.5k 1.7× 249 0.3× 393 0.6× 66 4.5k
Geoffrey S. Waldo United States 32 4.3k 1.0× 250 0.1× 736 0.8× 884 1.1× 300 0.5× 68 5.9k
Christoph Eckerskorn Germany 48 4.7k 1.1× 751 0.2× 92 0.1× 425 0.5× 384 0.6× 116 6.6k

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
1.
Fukui, Kiichi & Seiji Kato. (2021). Imaging approaches for chromosome structures. Chromosome Research. 29(1). 5–17. 2 indexed citations
2.
Kato, Jun, et al.. (2020). Human metaphase chromosome consists of randomly arranged chromatin fibres with up to 30-nm diameter. Scientific Reports. 10(1). 8948–8948. 12 indexed citations
3.
Takata, Hideaki, et al.. (2019). Reversible Changes of Chromosome Structure upon Different Concentrations of Divalent Cations. Microscopy and Microanalysis. 25(3). 817–821. 8 indexed citations
4.
Tsuchimoto, Suguru, et al.. (2017). Agrobacterium-Mediated Transformation of Jojoba [Simmondsia chinensis (Link.) Schneider]. Tropical agriculture and development. 61(1). 31. 2 indexed citations
5.
Tsuchimoto, Suguru, et al.. (2017). High-frequency Shoots Regeneration of an Oil Crop, Simmondsia chinensis (Link) Schneider Using Axillary Buds. Tropical agriculture and development. 61(1). 15–22. 1 indexed citations
7.
Ogawa, Shinichi, Jun Kato, Yuji Otsuka, et al.. (2016). Structural analysis of human chromosome by FIB/SEM. Chromosome science. 19. 25–31. 5 indexed citations
8.
Fukui, Kiichi. (2016). Contribution of nanotechnology to chromosome science. Chromosome science. 19. 51–56. 8 indexed citations
9.
Kato, Jun, Yuji Otsuka, Hideaki Takata, et al.. (2015). Effects of dehydration and drying steps on human chromosome interior revealed by focused ion beam/scanning electron microscopy (FIB/SEM). Chromosome science. 18(1). 23–28. 9 indexed citations
10.
Krayukhina, Elena, Akihiro Kawamoto, Takayuki Kato, et al.. (2015). The role of phosphorylation of histone H3 at serine 10 in chromatin condensation in vitro. Chromosome science. 18(1). 9–14. 3 indexed citations
11.
Sakamoto, Takuya, Yayoi Inui, Shimpei Uraguchi, et al.. (2011). Condensin II Alleviates DNA Damage and Is Essential for Tolerance of Boron Overload Stress in Arabidopsis  . The Plant Cell. 23(9). 3533–3546. 113 indexed citations
12.
Matsunaga, Sachihiro & Kiichi Fukui. (2010). The chromosome peripheral proteins play an active role in chromosome dynamics. BioMolecular Concepts. 1(2). 157–164. 5 indexed citations
13.
Ohmido, Nobuko, et al.. (2010). Integration of cytogenetic and genetic linkage maps of Lotus japonicus, a model plant for legumes. Chromosome Research. 18(2). 287–299. 27 indexed citations
14.
Wako, Tadayuki & Kiichi Fukui. (2010). Higher Organization and Histone Modification of the Plant Nucleus and Chromosome. Cytogenetic and Genome Research. 129(1-3). 55–63. 4 indexed citations
15.
Kato, Seiji, et al.. (2009). Image analysis of small plant chromosomes by using an improved system, CHIAS IV. Chromosome science. 12(3). 43–50. 11 indexed citations
16.
Ito, Mikako, Nobuko Ohmido, Yukio Akiyama, Kiichi Fukui, & Takato Koba. (2000). Characterization of Spinach Chromosomes by Condensation Patterns and Physical Mapping of 5S and 45S rDNAs by FISH. Journal of the American Society for Horticultural Science. 125(1). 59–62. 21 indexed citations
17.
Fukui, Kiichi & Nobuko Ohmido. (2000). Visual detection of useful genes on plant chromosomes.. Japan Agricultural Research Quarterly JARQ. 34(3). 153–158. 1 indexed citations
18.
Matsuyama, Tomoki, Tomoya Akihama, Yuji Ito, Mitsuo Omura, & Kiichi Fukui. (1999). Distribution of TGG repeat-related sequences in 'Trovita' orange (Citrus sinensis Osbeck) chromosomes. Genome. 42(6). 1251–1254. 3 indexed citations
19.
Suzuki, Go, Tamaki Hirose, Kiichi Fukui, et al.. (1999). Genomic Organization of the S Locus: Identification and Characterization of Genes in SLG/SRK Region of S9 Haplotype of Brassica campestris (syn. rapa). Genetics. 153(1). 391–400. 247 indexed citations
20.
Fukui, Kiichi, Koh-ichi Kadowaki, & Kyuya Harada. (1989). Implication of the Image Analysis Methods in Biotechnology. Japan Agricultural Research Quarterly JARQ. 22(4). 253–259. 2 indexed citations

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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