Koushirou Suga

711 total citations
37 papers, 562 citations indexed

About

Koushirou Suga is a scholar working on Immunology, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Koushirou Suga has authored 37 papers receiving a total of 562 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Koushirou Suga's work include Aquaculture disease management and microbiota (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers) and Environmental Toxicology and Ecotoxicology (7 papers). Koushirou Suga is often cited by papers focused on Aquaculture disease management and microbiota (9 papers), Aquatic Ecosystems and Phytoplankton Dynamics (7 papers) and Environmental Toxicology and Ecotoxicology (7 papers). Koushirou Suga collaborates with scholars based in Japan, Taiwan and South Korea. Koushirou Suga's co-authors include Atsushi Hagiwara, Yoshitaka Sakakura, Yukari Tanaka, David B. Mark Welch, Shoji Hatano, Takahisa Miyamoto, Masayoshi Iio, Hideyuki Shimizu, Jae‐Seong Lee and Jae‐Sung Rhee and has published in prestigious journals such as PLoS ONE, The American Naturalist and Molecular Biology and Evolution.

In The Last Decade

Koushirou Suga

33 papers receiving 555 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koushirou Suga Japan 13 219 146 89 79 75 37 562
Lars Kraemer Germany 9 240 1.1× 219 1.5× 52 0.6× 15 0.2× 44 0.6× 10 630
Gianluca De Moro Italy 13 228 1.0× 160 1.1× 84 0.9× 47 0.6× 51 0.7× 23 701
Graziano Di Giuseppe Italy 21 591 2.7× 471 3.2× 129 1.4× 94 1.2× 43 0.6× 59 1.0k
Shuhong Wang China 17 151 0.7× 177 1.2× 54 0.6× 21 0.3× 90 1.2× 47 705
Maciej Woźny Poland 16 137 0.6× 56 0.4× 169 1.9× 115 1.5× 111 1.5× 47 591
Paweł Brzuzan Poland 18 162 0.7× 123 0.8× 207 2.3× 130 1.6× 160 2.1× 83 920
Godelieve Criel Belgium 11 116 0.5× 152 1.0× 22 0.2× 80 1.0× 36 0.5× 22 557
Marie‐Line Escande France 18 474 2.2× 298 2.0× 125 1.4× 14 0.2× 17 0.2× 26 875
Miluše Hroudová Czechia 13 427 1.9× 285 2.0× 126 1.4× 25 0.3× 65 0.9× 16 797
Dieter De Coninck Belgium 19 359 1.6× 132 0.9× 43 0.5× 139 1.8× 193 2.6× 32 864

Countries citing papers authored by Koushirou Suga

Since Specialization
Citations

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

Fields of papers citing papers by Koushirou Suga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koushirou Suga

This figure shows the co-authorship network connecting the top 25 collaborators of Koushirou Suga. A scholar is included among the top collaborators of Koushirou Suga 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 Koushirou Suga. Koushirou Suga 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.
Hayashi, Hideki, et al.. (2021). Antivirus activity, but not thiolreductase activity, is conserved in interferon-gamma-inducible GILT protein in arthropod. Molecular Immunology. 140. 240–249. 4 indexed citations
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Kim, Hee‐Jin, Koushirou Suga, Bo‐Mi Kim, et al.. (2015). Light-dependent transcriptional events during resting egg hatching of the rotifer Brachionus manjavacas. Marine Genomics. 20. 25–31. 11 indexed citations
5.
Marcial, Helen S., et al.. (2014). Molecular cloning and localization of GABAA receptor‐associated protein in the rotifer Brachionus plicatilis. International Review of Hydrobiology. 99(1-2). 188–197.
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Kim, Hee‐Jin, Koushirou Suga, & Atsushi Hagiwara. (2013). Effect of Light Wavelength on the Sexual and Asexual Reproduction of the Monogonont Rotifer Brachionus manjavacas. Aquaculture Science. 61(3). 261–268. 7 indexed citations
8.
Rhee, Jae‐Sung, Bo‐Mi Kim, Koushirou Suga, et al.. (2013). Differential transcript expression of selected gene batteries in two clonal strains of the self-fertilizing fish, Kryptolebias marmoratus. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 164(4). 229–235. 2 indexed citations
9.
Hwang, Dae‐Sik, Koushirou Suga, Yoshitaka Sakakura, et al.. (2013). Complete mitochondrial genome of the monogonont rotifer,Brachionus koreanus(Rotifera, Brachionidae). Mitochondrial DNA. 25(1). 29–30. 63 indexed citations
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Suga, Koushirou, et al.. (2010). Isolation of mixis-related genes from the rotifer Brachionus plicatilis using subtractive hybridization. Hydrobiologia. 662(1). 83–88. 6 indexed citations
12.
Suga, Koushirou, David B. Mark Welch, Yukari Tanaka, Yoshitaka Sakakura, & Atsushi Hagiwara. (2008). Two Circular Chromosomes of Unequal Copy Number Make Up the Mitochondrial Genome of the Rotifer Brachionus plicatilis. Molecular Biology and Evolution. 25(6). 1129–1137. 78 indexed citations
13.
Suga, Koushirou, David B. Mark Welch, Yukari Tanaka, Yoshitaka Sakakura, & Atsushi Hagiwara. (2007). Analysis of Expressed Sequence Tags of the Cyclically Parthenogenetic Rotifer Brachionus plicatilis. PLoS ONE. 2(8). e671–e671. 48 indexed citations
14.
Honjoh, Ken–ichi, et al.. (2003). Preparation of Protoplasts from Chlorella vulgaris K-73122 and Cell Wall Regeneration of Protoplasts from C. vulgaris K-73122 and C-27. Journal of the Faculty of Agriculture Kyushu University. 47(2). 257–266. 11 indexed citations
15.
Honjoh, Ken‐ichi, Koushirou Suga, Hideyuki Shimizu, et al.. (2003). Purification and Characterization of Two Isoforms of Glucose 6-Phosphate Dehydrogenase (G6PDH) fromChlorella vulgarisC-27. Bioscience Biotechnology and Biochemistry. 67(9). 1888–1896. 12 indexed citations
16.
Suga, Koushirou, Ken‐ichi Honjoh, Hideyuki Shimizu, et al.. (2002). Two Low-temperature-inducibleChlorellaGenes forΔ12 andω-3 Fatty Acid Desaturase (FAD): Isolation ofΔ12 and ω-3 fad cDNA Clones,…. Bioscience Biotechnology and Biochemistry. 66(6). 1314–1327. 42 indexed citations
17.
Honjoh, Ken–ichi, Hideyuki Shimizu, Hiroko Matsumoto, et al.. (2001). Improvement of Freezing Tolerance in Transgenic Tobacco Leaves by Expressing the hiC6 Gene. Bioscience Biotechnology and Biochemistry. 65(8). 1796–1804. 14 indexed citations
18.
Honjoh, Ken–ichi, Hiroko Matsumoto, Hideyuki Shimizu, et al.. (2000). Cryoprotective Activities of Group 3 Late Embryogenesis Abundant Proteins fromChlorella vulgarisC-27. Bioscience Biotechnology and Biochemistry. 64(8). 1656–1663. 70 indexed citations
19.
Suga, Koushirou, Tsutomu Kabashima, Kiyoshi Ito, et al.. (1995). Prolidase fromXanthomonas maltophilia: Purification and Characterization of the Enzyme. Bioscience Biotechnology and Biochemistry. 59(11). 2087–2090. 22 indexed citations
20.
Suga, Koushirou, Kiyoshi Ito, Daisuke Tsuru, & Tadashi Yoshimoto. (1995). Prolylcarboxypeptidase (Angiotensinase C): Purification and Characterization of the Enzyme fromXanthomonas maltophilia. Bioscience Biotechnology and Biochemistry. 59(2). 298–301. 4 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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