M. Suzuki

2.5k total citations
23 papers, 1.1k citations indexed

About

M. Suzuki is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, M. Suzuki has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in M. Suzuki's work include Rice Cultivation and Yield Improvement (3 papers), Enzyme Production and Characterization (3 papers) and Probiotics and Fermented Foods (2 papers). M. Suzuki is often cited by papers focused on Rice Cultivation and Yield Improvement (3 papers), Enzyme Production and Characterization (3 papers) and Probiotics and Fermented Foods (2 papers). M. Suzuki collaborates with scholars based in Japan, United States and Australia. M. Suzuki's co-authors include Miyuki Nagasaki, Jörg J. Goronzy, Cornelia M. Weyand, Atsushi Takahashi, Xiaotian Chang, Yusuke Nakamura, Masahiko Ohtsuki, Tatsuhiko Tsunoda, Mitsuru Ono and Hidehiko Furukawa and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

M. Suzuki

22 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
M. Suzuki Japan 11 343 340 153 147 112 23 1.1k
Pascale Gerbaud France 23 637 1.9× 337 1.0× 145 0.9× 95 0.6× 31 0.3× 54 1.4k
Yuko Higashi Japan 18 339 1.0× 152 0.4× 122 0.8× 130 0.9× 69 0.6× 72 1.1k
Leihong Xiang China 21 461 1.3× 505 1.5× 136 0.9× 104 0.7× 131 1.2× 64 1.8k
Katrien Van Beneden Belgium 26 513 1.5× 879 2.6× 191 1.2× 245 1.7× 175 1.6× 57 1.8k
Josué Padilla United States 7 511 1.5× 471 1.4× 112 0.7× 176 1.2× 29 0.3× 8 1.3k
Chanchal Sadhu United States 17 551 1.6× 326 1.0× 124 0.8× 146 1.0× 30 0.3× 31 1.2k
Shiqin Sun China 9 420 1.2× 321 0.9× 48 0.3× 183 1.2× 80 0.7× 13 1.1k
Xiaochang Xue China 22 954 2.8× 350 1.0× 101 0.7× 276 1.9× 87 0.8× 90 1.7k
Yoshiko Nishimura Japan 16 532 1.6× 388 1.1× 57 0.4× 98 0.7× 29 0.3× 58 1.2k
Jinglun Xue China 20 983 2.9× 131 0.4× 256 1.7× 115 0.8× 151 1.3× 63 1.5k

Countries citing papers authored by M. Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by M. Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Suzuki

This figure shows the co-authorship network connecting the top 25 collaborators of M. Suzuki. A scholar is included among the top collaborators of M. Suzuki 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 M. Suzuki. M. Suzuki 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.
Ucero, Álvaro C., Latifa Bakiri, Ben Roediger, et al.. (2019). Fra-2–expressing macrophages promote lung fibrosis. Journal of Clinical Investigation. 129(8). 3293–3309. 82 indexed citations
2.
Suzuki, M., Sachiko Takaishi, Miyuki Nagasaki, et al.. (2013). Medium-chain Fatty Acid-sensing Receptor, GPR84, Is a Proinflammatory Receptor. Journal of Biological Chemistry. 288(15). 10684–10691. 165 indexed citations
3.
Suzuki, M., Ann Jagger, Yasuhiro Shimojima, et al.. (2012). CD8+CD45RA+CCR7+FOXP3+ T Cells with Immunosuppressive Properties: A Novel Subset of Inducible Human Regulatory T Cells. The Journal of Immunology. 189(5). 2118–2130. 58 indexed citations
4.
Takada, Mayura B., et al.. (2010). Analysis of factors affecting rice-crop damage by sika deer in a landscape context and construction of a risk map in the Boso Peninsula, central Japan.. 15(2). 203–210. 2 indexed citations
5.
Suzuki, M., et al.. (2008). Inhibitory CD8+ T cells in autoimmune disease. Human Immunology. 69(11). 781–789. 85 indexed citations
6.
Suzuki, M., et al.. (2006). Undersurface photoacoustic imaging of plane solid specimens by the use of a line laser beam. 4. 2093–2096. 1 indexed citations
7.
Tokuhiro, Shinya, Ryo Yamada, Xiaotian Chang, et al.. (2003). An intronic SNP in a RUNX1 binding site of SLC22A4, encoding an organic cation transporter, is associated with rheumatoid arthritis. Nature Genetics. 35(4). 341–348. 488 indexed citations
8.
Suzuki, M., et al.. (2002). Mitigation of Drought Limitation in Photosynthesis of Larix gmelinii Saplings by Clear-cutting in East-Siberian Taiga. AGUFM. 2002. 1 indexed citations
9.
Shimokawa, Ryuichi, et al.. (2002). New solar simulator for multi-junction solar cell measurements. 686–690. 12 indexed citations
10.
Shiraishi, Norihiko, et al.. (2000). An analysis of stand structure of understory trees of a double-storied plantation and development a distance-dependent growth model for a double-storied plantation.. 307–332. 1 indexed citations
11.
Saito, Tadao, M. Suzuki, Haruki Kitazawa, et al.. (1998). Molecular Cloning and Sequencing of Two Phospho-β-galactosidase I and II Genes ofLactobacillus gasseriJCM1031 Isolated from Human Intestine. Bioscience Biotechnology and Biochemistry. 62(12). 2318–2327. 7 indexed citations
12.
Kawai, Yasushi, Tadao Saito, M. Suzuki, & Takatoshi Itoh. (1998). Sequence Analysis by Cloning of the Structural Gene of Gassericin A, a Hydrophobic Bacteriocin Produced byLactobacillus gasseriLA39. Bioscience Biotechnology and Biochemistry. 62(5). 887–892. 48 indexed citations
13.
Hirasawa, Tadashi, et al.. (1996). 65 Mechanism on occurrence of white head of rice plants at heading stage under high temperature, low humidity and high wind velocity conditions : Factors increasing stem resistance to water flow at the panicle base. Japanese Journal of Crop Science. 65(2). 129–130. 12 indexed citations
14.
Suzuki, M., Tadao Saito, & Takatoshi Itoh. (1996). Purification and Characterization of 6-Phospho-β-galactosidase fromLactobacillus gasseriJCM 1031. Bioscience Biotechnology and Biochemistry. 60(1). 139–141. 13 indexed citations
15.
Suzuki, M., Tadao Saito, & Takatoshi Itoh. (1996). Coexistence of Two Kinds of 6-Phospho-β-Galactosidase in the Cytosol ofLactobacillus gasseriJCM1031. Bioscience Biotechnology and Biochemistry. 60(4). 708–710. 10 indexed citations
16.
Inada, K, et al.. (1994). Polyclonal B cell activation, endotoxin tolerance, and limulus tests of endotoxin preparations of some periodontopathogens.. PubMed. 35(2). 67–78. 5 indexed citations
17.
Kawai, K., et al.. (1993). AC 322,140 - a new herbicide for use in transplanted paddy rice in Japan.. 154–158. 1 indexed citations
18.
Suzuki, M., et al.. (1988). [Beta-D-galactosidase produced in Treponema denticola].. PubMed. 75(7). 1229–37. 1 indexed citations
19.
Suzuki, M., et al.. (1983). Researches of the Electrotechnical Laboratory, no. 830: Measurement of the solar spectral irradiance at Tanashi, Tokyo (III). NASA STI/Recon Technical Report N. 83. 33821. 1 indexed citations
20.
Suzuki, M.. (1980). Studies on the growth characteristics of rice plants in warmer regions of Japan viewed from the dry matter production aspect.. 20(4). 429–494. 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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