Shu Ishikawa

4.5k total citations · 1 hit paper
67 papers, 2.3k citations indexed

About

Shu Ishikawa is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Shu Ishikawa has authored 67 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 38 papers in Genetics and 21 papers in Ecology. Recurrent topics in Shu Ishikawa's work include Bacterial Genetics and Biotechnology (38 papers), Bacteriophages and microbial interactions (19 papers) and RNA and protein synthesis mechanisms (14 papers). Shu Ishikawa is often cited by papers focused on Bacterial Genetics and Biotechnology (38 papers), Bacteriophages and microbial interactions (19 papers) and RNA and protein synthesis mechanisms (14 papers). Shu Ishikawa collaborates with scholars based in Japan, United States and United Kingdom. Shu Ishikawa's co-authors include Naotake Ogasawara, Taku Oshima, Junichi Sekiguchi, Ken Kurokawa, Yoshikazu Kawai, Ryo Ohnishi, Naotaka Ogasawara, Hiroki Takahashi, Shigehiko Kanaya and H. Aiba and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Shu Ishikawa

63 papers receiving 2.3k citations

Hit Papers

Sequence-specific error profile of Illumina sequencers 2011 2026 2016 2021 2011 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu Ishikawa Japan 22 1.6k 1.3k 746 229 188 67 2.3k
Nina Costantino United States 22 2.4k 1.4× 1.6k 1.2× 693 0.9× 162 0.7× 96 0.5× 38 3.0k
Roland Freudl Germany 36 2.5k 1.5× 1.8k 1.3× 1.0k 1.4× 144 0.6× 438 2.3× 80 3.3k
Vivek K. Mutalik United States 26 2.5k 1.5× 950 0.7× 823 1.1× 176 0.8× 91 0.5× 40 3.1k
Pierre Mandin France 16 1.5k 0.9× 878 0.7× 567 0.8× 126 0.6× 407 2.2× 22 2.3k
Jason M. Peters United States 18 2.4k 1.5× 1.5k 1.1× 684 0.9× 100 0.4× 99 0.5× 39 2.8k
Byoung‐Mo Koo United States 17 1.4k 0.9× 916 0.7× 450 0.6× 106 0.5× 94 0.5× 26 1.8k
Ronald E. Yasbin United States 34 2.5k 1.5× 2.1k 1.6× 1.0k 1.4× 274 1.2× 200 1.1× 91 3.3k
Virgil A. Rhodius United States 28 2.1k 1.3× 1.6k 1.3× 642 0.9× 130 0.6× 78 0.4× 35 2.8k
Aurélia Battesti France 12 1.1k 0.7× 868 0.7× 392 0.5× 119 0.5× 84 0.4× 13 1.6k
Jeffrey F. Gardner United States 32 2.0k 1.2× 1.3k 1.0× 912 1.2× 229 1.0× 63 0.3× 95 2.6k

Countries citing papers authored by Shu Ishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Shu Ishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Ishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Ishikawa. A scholar is included among the top collaborators of Shu Ishikawa 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 Shu Ishikawa. Shu Ishikawa 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.
Yoshida, Ken‐ichi, et al.. (2024). Bacillus subtilis grown in a “breathing” vessel without sparger aeration. Bioscience Biotechnology and Biochemistry. 88(11). 1389–1393.
2.
Kondo, Takahiko, Panlada Tittabutr, Nantakorn Boonkerd, et al.. (2023). <i>Bacillus velezensis </i>S141, a soybean growth-promoting bacterium, hydrolyzes isoflavone glycosides into aglycones.. The Journal of General and Applied Microbiology. 69(3). 175–183. 9 indexed citations
3.
Yoshida, Ken‐ichi, et al.. (2020). Identification of a repressor for the two iol operons required for inositol catabolism in Geobacillus kaustophilus. Microbiology. 167(1). 5 indexed citations
4.
Tanaka, Kosei, et al.. (2018). A novel method for transforming the thermophilic bacterium Geobacillus kaustophilus. Microbial Cell Factories. 17(1). 127–127. 3 indexed citations
6.
Tanaka, Kosei, et al.. (2017). A new-generation of Bacillus subtilis cell factory for further elevated scyllo-inositol production. Microbial Cell Factories. 16(1). 67–67. 26 indexed citations
7.
Michon, Christophe, et al.. (2017). Bacillus subtilis IolQ (DegA) is a transcriptional repressor of iolX encoding NAD+-dependent scyllo-inositol dehydrogenase. BMC Microbiology. 17(1). 154–154. 8 indexed citations
8.
Ishikawa, Shu, et al.. (2015). The Role of α-CTD in the Genome-Wide Transcriptional Regulation of the Bacillus subtilis Cells. PLoS ONE. 10(7). e0131588–e0131588. 10 indexed citations
9.
Kommineni, Sushma, et al.. (2013). The ResD Response Regulator, through Functional Interaction with NsrR and Fur, Plays Three Distinct Roles in Bacillus subtilis Transcriptional Control. Journal of Bacteriology. 196(2). 493–503. 11 indexed citations
10.
Yoshimura, Mika, et al.. (2011). Regulation of chromosomal replication initiation by oriC-proximal DnaA-box clusters in Bacillus subtilis. Nucleic Acids Research. 40(1). 220–234. 24 indexed citations
11.
Nakamura, Kensuke, Taku Oshima, Takuya Morimoto, et al.. (2011). Sequence-specific error profile of Illumina sequencers. Nucleic Acids Research. 39(13). e90–e90. 435 indexed citations breakdown →
12.
Wu, Ling Juan, Shu Ishikawa, Yoshikazu Kawai, et al.. (2009). Noc protein binds to specific DNA sequences to coordinate cell division with chromosome segregation. The EMBO Journal. 28(13). 1940–1952. 126 indexed citations
13.
Ishikawa, Shu, Yoshitoshi Ogura, Mika Yoshimura, et al.. (2007). Distribution of Stable DnaA-Binding Sites on the Bacillus Subtilis Genome Detected using a Modified ChIP-chip Method. DNA Research. 14(4). 155–168. 57 indexed citations
14.
Ishikawa, Shu, Leighton J. Core, & Marta Perego. (2002). Biochemical Characterization of Aspartyl Phosphate Phosphatase Interaction with a Phosphorylated Response Regulator and Its Inhibition by a Pentapeptide. Journal of Biological Chemistry. 277(23). 20483–20489. 42 indexed citations
15.
Core, Leighton J., Shu Ishikawa, & Marta Perego. (2001). A free terminal carboxylate group is required for PhrA pentapeptide inhibition of RapA phosphatase. Peptides. 22(10). 1549–1553. 9 indexed citations
16.
Ishikawa, Shu, Shinji Kawahara, & JoAnn Sekiguchi. (1999). Cloning and expression of two autolysin genes, cwlU and cwlV, which are tandemly arranged on the chromosome of Bacillus polymyxa var. colistinus. Molecular and General Genetics MGG. 262(4-5). 738–748. 6 indexed citations
17.
Yura, Jiro, et al.. (1992). Basic and clinical studies on meropenem in the surgical field. Chemotherapy. 40. 520–536. 1 indexed citations
18.
Yura, Jiro, et al.. (1991). FUNDAMENTAL AND CLINICAL STUDIES OF PANIPENEM/BETAMIPRON IN SURGERY. 39(3). 557–571. 1 indexed citations
19.
Shinagawa, Nagao, et al.. (1983). . The Japanese Journal of Gastroenterological Surgery. 16(3). 543–546. 1 indexed citations
20.
Yura, Jiro, et al.. (1982). Fundamental and clinical studies of cefotetan (YM09330) on the surgical field. Chemotherapy. 30(1). 786–795. 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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