Chikako Mitsuoka

6.1k total citations · 2 hit papers
34 papers, 4.0k citations indexed

About

Chikako Mitsuoka is a scholar working on Molecular Biology, Plant Science and Immunology and Allergy. According to data from OpenAlex, Chikako Mitsuoka has authored 34 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 12 papers in Plant Science and 11 papers in Immunology and Allergy. Recurrent topics in Chikako Mitsuoka's work include Glycosylation and Glycoproteins Research (13 papers), Cell Adhesion Molecules Research (11 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Chikako Mitsuoka is often cited by papers focused on Glycosylation and Glycoproteins Research (13 papers), Cell Adhesion Molecules Research (11 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). Chikako Mitsuoka collaborates with scholars based in Japan, United Kingdom and United States. Chikako Mitsuoka's co-authors include Ryohei Terauchi, Kentaro Yoshida, Sophien Kamoun, Satoshi Natsume, Liliana M. Cano, Hiroki Takagi, Muluneh Tamiru, Akira Abe, Shunichi Kosugi and Hideki Innan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Chikako Mitsuoka

34 papers receiving 3.9k citations

Hit Papers

QTL‐seq: rapid mapping of quantitative trait loci in rice... 2012 2026 2016 2021 2013 2012 250 500 750

Peers

Chikako Mitsuoka
Scott E. Stachel United States
Jing Song China
J.E. Dixon United States
Anka Ritonja Slovenia
Michael J. Kershaw United Kingdom
Scott E. Stachel United States
Chikako Mitsuoka
Citations per year, relative to Chikako Mitsuoka Chikako Mitsuoka (= 1×) peers Scott E. Stachel

Countries citing papers authored by Chikako Mitsuoka

Since Specialization
Citations

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

Fields of papers citing papers by Chikako Mitsuoka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chikako Mitsuoka

This figure shows the co-authorship network connecting the top 25 collaborators of Chikako Mitsuoka. A scholar is included among the top collaborators of Chikako Mitsuoka 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 Chikako Mitsuoka. Chikako Mitsuoka 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.
Minagawa, Hiroko, et al.. (2025). Detection of Recombinant Type of Human Adenovirus C Composed of Types 89 and 5 in Aichi Prefecture, Japan (2016–2019). Japanese Journal of Infectious Diseases. 78(3-4). 139–142. 1 indexed citations
2.
Inoue, Yoshihiro, Trinh Thi Phuong Vy, Kentaro Yoshida, et al.. (2017). Evolution of the wheat blast fungus through functional losses in a host specificity determinant. Science. 357(6346). 80–83. 176 indexed citations
3.
Yoshida, Kentaro, Diane G. O. Saunders, Chikako Mitsuoka, et al.. (2016). Host specialization of the blast fungus Magnaporthe oryzae is associated with dynamic gain and loss of genes linked to transposable elements. BMC Genomics. 17(1). 370–370. 122 indexed citations
4.
Takagi, Hiroki, Akira Abe, Kentaro Yoshida, et al.. (2013). QTL‐seq: rapid mapping of quantitative trait loci in rice by whole genome resequencing of DNA from two bulked populations. The Plant Journal. 74(1). 174–183. 989 indexed citations breakdown →
5.
Fawcett, Jeffrey A., Tomoyuki Kado, Eriko Sasaki, et al.. (2013). QTL Map Meets Population Genomics: An Application to Rice. PLoS ONE. 8(12). e83720–e83720. 9 indexed citations
6.
Fekih, Rym, Hiroki Takagi, Muluneh Tamiru, et al.. (2013). MutMap+: Genetic Mapping and Mutant Identification without Crossing in Rice. PLoS ONE. 8(7). e68529–e68529. 230 indexed citations
7.
Abe, Akira, Shunichi Kosugi, Kentaro Yoshida, et al.. (2012). Genome sequencing reveals agronomically important loci in rice using MutMap. Nature Biotechnology. 30(2). 174–178. 939 indexed citations breakdown →
8.
Saitoh, Hiromasa, Shizuko Fujisawa, Chikako Mitsuoka, et al.. (2012). Large-Scale Gene Disruption in Magnaporthe oryzae Identifies MC69, a Secreted Protein Required for Infection by Monocot and Dicot Fungal Pathogens. PLoS Pathogens. 8(5). e1002711–e1002711. 124 indexed citations
9.
Saitoh, Hiromasa, Shizuko Fujisawa, Akiko Ito, et al.. (2009). SPM1âencoding a vacuole-localized protease is required for infection-related autophagy of the rice blast fungusMagnaporthe oryzae. FEMS Microbiology Letters. 300(1). 115–121. 31 indexed citations
11.
Schäkel, Knut, Reiji Kannagi, Bernhard Kniep, et al.. (2002). 6-Sulfo LacNAc, a Novel Carbohydrate Modification of PSGL-1, Defines an Inflammatory Type of Human Dendritic Cells. Immunity. 17(3). 289–301. 169 indexed citations
12.
Ito, Katsuki, Kenji Hibi, Chikako Mitsuoka, et al.. (2001). Paired tumor marker of soluble E-selectin and its ligand sialyl Lewis A in colorectal cancer. Journal of Gastroenterology. 36(12). 823–829. 23 indexed citations
13.
Kumamoto, Kensuke, Chikako Mitsuoka, Akira Kanamori, et al.. (2000). Expression of sialyl 6-sulfo Lewis X is inversely correlated with conventional sialyl Lewis X expression in human colorectal cancer.. PubMed. 60(5). 1410–6. 85 indexed citations
14.
Ohmori, Katsuyuki, Chikako Mitsuoka, Akiko Kanamori, et al.. (2000). P- and E-Selectins Recognize Sialyl 6-Sulfo Lewis X, the Recently Identified L-Selectin Ligand. Biochemical and Biophysical Research Communications. 278(1). 90–96. 39 indexed citations
15.
Uchimura, Kenji, Y. Yuzawa, Sadao Matsuo, et al.. (1999). Spatially and temporally regulated expression of N-acetylglucosamine-6-O-sulfotransferase during mouse embryogenesis. Glycobiology. 9(9). 947–955. 12 indexed citations
16.
Uchimura, Kenji, Hideki Muramatsu, Kenji Kadomatsu, et al.. (1998). Molecular Cloning and Characterization of anN-Acetylglucosamine-6-O-sulfotransferase. Journal of Biological Chemistry. 273(35). 22577–22583. 124 indexed citations
17.
Kumamoto, Kensuke, Chikako Mitsuoka, Mineko Izawa, et al.. (1998). Specific Detection of Sialyl Lewis X Determinant Carried on the Mucin GlcNAcβ1→6GalNAcα Core Structure as a Tumor-Associated Antigen. Biochemical and Biophysical Research Communications. 247(2). 514–517. 34 indexed citations
18.
Uchimura, Kenji, Hideki Muramatsu, Haruko Ogawa, et al.. (1998). Human N-Acetylglucosamine-6-O-Sulfotransferase Involved in the Biosynthesis of 6-Sulfo Sialyl Lewis X: Molecular Cloning, Chromosomal Mapping, and Expression in Various Organs and Tumor Cells. The Journal of Biochemistry. 124(3). 670–678. 77 indexed citations
19.
Mitsuoka, Chikako, Naoko Kawakami-Kimura, Nozomu Hiraiwa, et al.. (1997). Sulfated Sialyl Lewis X, the Putative L-Selectin Ligand, Detected on Endothelial Cells of High Endothelial Venules by a Distinct Set of Anti-Sialyl Lewis X Antibodies. Biochemical and Biophysical Research Communications. 230(3). 546–551. 76 indexed citations
20.
Imamura, Chiyo K., Akihiro Kanno, Chikako Mitsuoka, et al.. (1996). Specific Inhibitory Effect of Hybrid Liposomes on the Growth of Hybridoma Cells in Vitro. YAKUGAKU ZASSHI. 116(12). 942–950. 9 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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