Fumio Kasai

1.5k total citations
50 papers, 1.1k citations indexed

About

Fumio Kasai is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Fumio Kasai has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 23 papers in Genetics and 16 papers in Plant Science. Recurrent topics in Fumio Kasai's work include Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (7 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). Fumio Kasai is often cited by papers focused on Chromosomal and Genetic Variations (16 papers), Genomics and Phylogenetic Studies (7 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). Fumio Kasai collaborates with scholars based in Japan, United Kingdom and United States. Fumio Kasai's co-authors include M.A. Ferguson‐Smith, Arihiro Kohara, Noriko Hirayama, Toshiyuki Yamaji, Naoki Osada, Kentaro Hanada, Tsuyoshi Sekizuka, Makoto Kuroda, Patrícia C. M. O’Brien and Patricia C. O’Brien and has published in prestigious journals such as Scientific Reports, Environmental Pollution and Chemosphere.

In The Last Decade

Fumio Kasai

48 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fumio Kasai Japan 21 459 350 304 109 92 50 1.1k
Zhiyong Qiu China 22 843 1.8× 162 0.5× 170 0.6× 88 0.8× 163 1.8× 67 1.7k
Marco D. Wong United States 12 658 1.4× 220 0.6× 149 0.5× 28 0.3× 77 0.8× 19 1.1k
David T. Rogers United States 24 833 1.8× 218 0.6× 218 0.7× 40 0.4× 71 0.8× 45 1.6k
Cheng‐Sheng Lee United States 26 601 1.3× 179 0.5× 122 0.4× 24 0.2× 84 0.9× 70 1.7k
Takeaki Taniguchi Japan 16 1.4k 3.0× 352 1.0× 146 0.5× 40 0.4× 303 3.3× 30 2.2k
Xinping Zhao China 15 493 1.1× 149 0.4× 670 2.2× 50 0.5× 51 0.6× 32 1.5k
Seyed Yahya Anvar Netherlands 23 824 1.8× 249 0.7× 93 0.3× 76 0.7× 38 0.4× 34 1.3k
Vera Gamulin Croatia 26 1.0k 2.2× 180 0.5× 138 0.5× 38 0.3× 43 0.5× 71 1.9k
Edmund J. Stellwag United States 21 907 2.0× 290 0.8× 381 1.3× 47 0.4× 132 1.4× 39 1.5k
Karen Beeson United States 8 815 1.8× 239 0.7× 112 0.4× 20 0.2× 35 0.4× 8 1.3k

Countries citing papers authored by Fumio Kasai

Since Specialization
Citations

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

Fields of papers citing papers by Fumio Kasai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Kasai

This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Kasai. A scholar is included among the top collaborators of Fumio Kasai 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 Fumio Kasai. Fumio Kasai 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.
Ferguson‐Smith, M.A., et al.. (2022). Observations on chromosome-specific sequencing for the construction of cross-species chromosome homology maps and its resolution of human:alpaca homology. Molecular Cytogenetics. 15(1). 44–44. 1 indexed citations
2.
Kasai, Fumio, Noriko Hirayama, & Arihiro Kohara. (2020). TK6 genome profile compared with WIL2-NS: Reference data to improve the reproducibility of genotoxicity studies. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 858-860. 503236–503236. 2 indexed citations
3.
Kasai, Fumio, Hiroya Asou, Kazuhiko Kobayashi, et al.. (2020). Kasumi leukemia cell lines: characterization of tumor genomes with ethnic origin and scales of genomic alterations. Human Cell. 33(3). 868–876. 10 indexed citations
4.
Kasai, Fumio, Patrícia C. M. O’Brien, Jorge C. Pereira, & M.A. Ferguson‐Smith. (2018). Marsupial chromosome DNA content and genome size assessed from flow karyotypes: invariable low autosomal GC content. Royal Society Open Science. 5(8). 171539–171539. 5 indexed citations
5.
Kasai, Fumio, et al.. (2018). HuH-7 reference genome profile: complex karyotype composed of massive loss of heterozygosity. Human Cell. 31(3). 261–267. 31 indexed citations
6.
Kasai, Fumio & M.A. Ferguson‐Smith. (2018). A collection of XY female cell lines. Human Cell. 31(2). 175–178. 1 indexed citations
7.
Sekizuka, Tsuyoshi, Makoto Kuroda, Fumio Kasai, et al.. (2018). Novel endogenous simian retroviral integrations in Vero cells: implications for quality control of a human vaccine cell substrate. Scientific Reports. 8(1). 644–644. 20 indexed citations
8.
9.
Osada, Naoki, Arihiro Kohara, Toshiyuki Yamaji, et al.. (2014). The Genome Landscape of the African Green Monkey Kidney-Derived Vero Cell Line. DNA Research. 21(6). 673–683. 169 indexed citations
10.
11.
Kasai, Fumio, Patrícia C. M. O’Brien, & M.A. Ferguson‐Smith. (2013). The bat genome: GC-biased small chromosomes associated with reduction in genome size. Chromosoma. 122(6). 535–540. 8 indexed citations
12.
Kasai, Fumio, Patrícia C. M. O’Brien, & M.A. Ferguson‐Smith. (2013). Afrotheria genome; overestimation of genome size and distinct chromosome GC content revealed by flow karyotyping. Genomics. 102(5-6). 468–471. 14 indexed citations
13.
Haruta, Masayuki, Yasuhito Arai, Naoki Watanabe, et al.. (2012). Different incidences of epigenetic but not genetic abnormalities between Wilms tumors in Japanese and Caucasian children. Cancer Science. 103(6). 1129–1135. 20 indexed citations
14.
15.
Pokorná, Martina, Massimo Giovannotti, Lukáš Kratochvíl, et al.. (2011). Strong conservation of the bird Z chromosome in reptilian genomes is revealed by comparative painting despite 275 million years divergence. Chromosoma. 120(5). 455–468. 81 indexed citations
16.
Kasai, Fumio, Masaharu Yoshihara, Susumu Matsukuma, Patricia C. O’Brien, & M.A. Ferguson‐Smith. (2007). Emergence of complex rearrangements at translocation breakpoints in a transgenic mouse; implications for mechanisms involved in the formation of chromosome rearrangements. Cytogenetic and Genome Research. 119(1-2). 83–90. 6 indexed citations
17.
Suto, Yumiko, Yoshihide Ishikawa, Hironobu Hyodo, et al.. (2003). Gene arrangement at the Rhesus blood group locus of chimpanzees detected by fiber-FISH. Cytogenetic and Genome Research. 101(2). 161–165. 2 indexed citations
18.
Ichikawa, Yaeko, Jun Goto, Masahira Hattori, et al.. (2001). The genomic structure and expression of MJD, the Machado-Joseph disease gene. Journal of Human Genetics. 46(7). 413–422. 58 indexed citations
19.
Kasai, Fumio, Eiichi Takahashi, Kumiko Koyama, et al.. (2000). Comparative FISH mapping of the ancestral fusion point of human chromosome 2. Chromosome Research. 8(8). 727–735. 20 indexed citations
20.
Kasai, Fumio, et al.. (1993). Effects of simetryne on growth of various freshwater algal taxa. Environmental Pollution. 79(1). 77–83. 52 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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