Mitsuo Satoh

6.4k total citations · 1 hit paper
88 papers, 5.1k citations indexed

About

Mitsuo Satoh is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Mitsuo Satoh has authored 88 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 30 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Materials Chemistry. Recurrent topics in Mitsuo Satoh's work include Monoclonal and Polyclonal Antibodies Research (29 papers), Glycosylation and Glycoproteins Research (25 papers) and Solid-state spectroscopy and crystallography (23 papers). Mitsuo Satoh is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (29 papers), Glycosylation and Glycoproteins Research (25 papers) and Solid-state spectroscopy and crystallography (23 papers). Mitsuo Satoh collaborates with scholars based in Japan, Singapore and United States. Mitsuo Satoh's co-authors include Kenya Shitara, Shigeru Iida, Rinpei Niwa, Kazuhisa Uchida, Yutaka Kanda, Naoko Yamane‐Ohnuki, Masako Wakitani, Nobuo Hanai, Motoo Yamasaki and Toyohide Shinkawa and has published in prestigious journals such as Journal of Biological Chemistry, Physical review. B, Condensed matter and PLoS ONE.

In The Last Decade

Mitsuo Satoh

84 papers receiving 4.8k citations

Hit Papers

The Absence of Fucose but Not the Presence of Galactose o... 2003 2026 2010 2018 2003 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mitsuo Satoh Japan 29 3.8k 3.4k 1.8k 690 476 88 5.1k
Paul J. Carter United States 22 2.9k 0.8× 2.8k 0.8× 1.2k 0.6× 1.3k 1.9× 225 0.5× 42 4.8k
Lutz Riechmann United Kingdom 22 2.3k 0.6× 2.1k 0.6× 851 0.5× 506 0.7× 228 0.5× 34 3.5k
K E Hellström United States 47 3.0k 0.8× 3.1k 0.9× 3.1k 1.7× 2.0k 3.0× 446 0.9× 106 7.1k
Thomas Garrett Australia 29 2.7k 0.7× 1.8k 0.5× 1.5k 0.9× 1.8k 2.6× 209 0.4× 49 5.4k
Greg A. Lazar United States 24 2.1k 0.6× 2.2k 0.6× 1.2k 0.6× 755 1.1× 201 0.4× 44 3.5k
David Colcher United States 55 3.9k 1.0× 6.7k 1.9× 1.9k 1.0× 3.2k 4.6× 462 1.0× 208 9.9k
Tony Lahoutte Belgium 50 3.1k 0.8× 4.5k 1.3× 1.3k 0.7× 2.1k 3.0× 222 0.5× 163 7.3k
Jefferson Foote United States 21 2.1k 0.5× 2.1k 0.6× 875 0.5× 439 0.6× 211 0.4× 30 3.3k
Nick Devoogdt Belgium 51 3.3k 0.9× 5.1k 1.5× 2.1k 1.2× 2.7k 4.0× 278 0.6× 155 8.2k
Rob C. Roovers Netherlands 32 2.6k 0.7× 2.5k 0.7× 1.1k 0.6× 1.0k 1.5× 206 0.4× 49 4.2k

Countries citing papers authored by Mitsuo Satoh

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuo Satoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuo Satoh

This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Satoh. A scholar is included among the top collaborators of Mitsuo Satoh 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 Mitsuo Satoh. Mitsuo Satoh 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.
Yanagibashi, Tsutomu, Mitsuo Satoh, Yoshinori Nagai, Masamichi Koike, & Kiyoshi Takatsu. (2017). Allergic diseases: From bench to clinic - Contribution of the discovery of interleukin-5. Cytokine. 98. 59–70. 66 indexed citations
2.
Yamada, Tsuyoshi, Yutaka Kanda, Makoto Takayama, et al.. (2016). Comparison of biological activities of human antithrombins with high-mannose or complex-type nonfucosylated N-linked oligosaccharides. Glycobiology. 26(5). 482–492. 12 indexed citations
3.
Niwa, Rinpei & Mitsuo Satoh. (2015). The Current Status and Prospects of Antibody Engineering for Therapeutic Use: Focus on Glycoengineering Technology. Journal of Pharmaceutical Sciences. 104(3). 930–941. 46 indexed citations
4.
Mizushima, Tsunehiro, Hirokazu Yagi, Shigeru Iida, et al.. (2011). Structural basis for improved efficacy of therapeutic antibodies on defucosylation of their Fc glycans. Genes to Cells. 16(11). 1071–1080. 179 indexed citations
5.
Yamane‐Ohnuki, Naoko & Mitsuo Satoh. (2009). Production of therapeutic antibodies with controlled fucosylation. mAbs. 1(3). 230–236. 124 indexed citations
6.
Kubota, Tsuguo, Rinpei Niwa, Mitsuo Satoh, et al.. (2009). Engineered therapeutic antibodies with improved effector functions. Cancer Science. 100(9). 1566–1572. 117 indexed citations
7.
Yamane‐Ohnuki, Naoko, Kazuya Yamano, & Mitsuo Satoh. (2008). Biallelic Gene Knockouts in Chinese Hamster Ovary Cells. Methods in molecular biology. 435. 1–16. 8 indexed citations
8.
Iida, S., Akira Okazaki, Keisuke Mori, et al.. (2008). The N-linked oligosaccharide at Fc RIIIa Asn-45: an inhibitory element for high Fc RIIIa binding affinity to IgG glycoforms lacking core fucosylation. Glycobiology. 19(2). 126–134. 90 indexed citations
9.
Matsumiya, S., Yoshiki Yamaguchi, Junichi Saito, et al.. (2007). Structural Comparison of Fucosylated and Nonfucosylated Fc Fragments of Human Immunoglobulin G1. Journal of Molecular Biology. 368(3). 767–779. 223 indexed citations
11.
Iida, Shigeru, Hirofumi Misaka, Miho Inoue, et al.. (2006). Nonfucosylated Therapeutic IgG1 Antibody Can Evade the Inhibitory Effect of Serum Immunoglobulin G on Antibody-Dependent Cellular Cytotoxicity through its High Binding to FcγRIIIa. Clinical Cancer Research. 12(9). 2879–2887. 174 indexed citations
12.
Satoh, Mitsuo, Kenya Shitara, & Nobuo Hanai. (2006). The Current Stream and Prospect of Glycoscience Application-Therapeutic Antibodies-. Trends in Glycoscience and Glycotechnology. 18(100). 129–136. 10 indexed citations
15.
Niwa, Rinpei, Akito Natsume, Masako Wakitani, et al.. (2005). IgG subclass-independent improvement of antibody-dependent cellular cytotoxicity by fucose removal from Asn297-linked oligosaccharides. Journal of Immunological Methods. 306(1-2). 151–160. 187 indexed citations
16.
Yamane‐Ohnuki, Naoko, Satoko Kinoshita, Shigeru Iida, et al.. (2004). Establishment of FUT8 knockout Chinese hamster ovary cells: An ideal host cell line for producing completely defucosylated antibodies with enhanced antibody‐dependent cellular cytotoxicity. Biotechnology and Bioengineering. 87(5). 614–622. 424 indexed citations
17.
Shinkawa, Toyohide, Kazuyasu Nakamura, Yutaka Kanda, et al.. (2003). The Absence of Fucose but Not the Presence of Galactose or Bisecting N-Acetylglucosamine of Human IgG1 Complex-type Oligosaccharides Shows the Critical Role of Enhancing Antibody-dependent Cellular Cytotoxicity. Journal of Biological Chemistry. 278(5). 3466–3473. 1126 indexed citations breakdown →
19.
Yokosawa, Hideyoshi, et al.. (1989). Involvement of Angiotensin-Converting Enzyme (Kininase II) in Neuropeptide Metabolism. Advances in experimental medicine and biology. 247B. 371–376. 2 indexed citations
20.
Kanashiro, Tatsuo, Takashi Ohno, & Mitsuo Satoh. (1983). Orientation Dependence of the Quadrupole Relaxation in NaNO2. Japanese Journal of Applied Physics. 22(4A). L253–L253. 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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