Daisuke Imamura

2.2k total citations
22 papers, 607 citations indexed

About

Daisuke Imamura is a scholar working on Ecology, Genetics and Molecular Biology. According to data from OpenAlex, Daisuke Imamura has authored 22 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 12 papers in Genetics and 11 papers in Molecular Biology. Recurrent topics in Daisuke Imamura's work include Bacteriophages and microbial interactions (12 papers), Bacterial Genetics and Biotechnology (12 papers) and Vibrio bacteria research studies (5 papers). Daisuke Imamura is often cited by papers focused on Bacteriophages and microbial interactions (12 papers), Bacterial Genetics and Biotechnology (12 papers) and Vibrio bacteria research studies (5 papers). Daisuke Imamura collaborates with scholars based in Japan, India and United States. Daisuke Imamura's co-authors include Hiromu Takamatsu, Ritsuko Kuwana, Kazuhito Watabe, Tsutomu Sato, Patrick Eichenberger, Peter Setlow, Richard Losick, Barbara Setlow, Erin M. Conlon and Michael Feig and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Journal of Bacteriology.

In The Last Decade

Daisuke Imamura

22 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daisuke Imamura Japan 13 371 297 238 77 69 22 607
Siger Holsappel Netherlands 13 369 1.0× 268 0.9× 208 0.9× 117 1.5× 31 0.4× 22 663
Lingxia Jiang United States 10 630 1.7× 294 1.0× 301 1.3× 61 0.8× 36 0.5× 13 768
Rocky M. Cranenburgh United Kingdom 12 422 1.1× 278 0.9× 184 0.8× 76 1.0× 30 0.4× 16 605
Paola Bisicchia Ireland 11 546 1.5× 496 1.7× 281 1.2× 138 1.8× 54 0.8× 11 829
Kommireddy Vasu India 7 381 1.0× 149 0.5× 210 0.9× 45 0.6× 71 1.0× 10 561
Katrin Beilharz Netherlands 9 438 1.2× 365 1.2× 179 0.8× 67 0.9× 53 0.8× 11 738
Peter M. Power Australia 18 611 1.6× 211 0.7× 180 0.8× 49 0.6× 102 1.5× 22 1.0k
Todd A. Cameron United States 15 379 1.0× 230 0.8× 166 0.7× 33 0.4× 60 0.9× 23 563
Christopher T. Steichen United States 12 658 1.8× 379 1.3× 367 1.5× 107 1.4× 46 0.7× 12 958
Richard A. Fekete United States 13 665 1.8× 234 0.8× 192 0.8× 67 0.9× 86 1.2× 17 965

Countries citing papers authored by Daisuke Imamura

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Imamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daisuke Imamura

This figure shows the co-authorship network connecting the top 25 collaborators of Daisuke Imamura. A scholar is included among the top collaborators of Daisuke Imamura 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 Daisuke Imamura. Daisuke Imamura 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.
Abe, Kimihiro, et al.. (2023). Identification of CgeA as a glycoprotein that anchors polysaccharides to the spore surface in Bacillus subtilis. Molecular Microbiology. 120(3). 384–396. 7 indexed citations
2.
Mukhopadhyay, Asish K., et al.. (2021). Recent Vibrio cholerae O1 Epidemic Strains Are Unable To Replicate CTXΦ Prophage Genome. mSphere. 6(3). e0033721–e0033721. 6 indexed citations
3.
Mandal, Rahul Shubhra, Priyanka Ghosh, Shanta Dutta, et al.. (2020). A Point Mutation in carR Is Involved in the Emergence of Polymyxin B-Sensitive Vibrio cholerae O1 El Tor Biotype by Influencing Gene Transcription. Infection and Immunity. 88(5). 14 indexed citations
4.
Suzuki, Shota, et al.. (2019). Compatibility of Site-Specific Recombination Units between Mobile Genetic Elements. iScience. 23(1). 100805–100805. 14 indexed citations
5.
Holland, Gudrun, Kimihiro Abe, Daisuke Imamura, et al.. (2019). Expansion of the Spore Surface Polysaccharide Layer in Bacillus subtilis by Deletion of Genes Encoding Glycosyltransferases and Glucose Modification Enzymes. Journal of Bacteriology. 201(19). 19 indexed citations
6.
Doan, Yen Hai, Yoshiyuki Suzuki, Yoshiki Fujii, et al.. (2017). Complex reassortment events of unusual G9P[4] rotavirus strains in India between 2011 and 2013. Infection Genetics and Evolution. 54. 417–428. 26 indexed citations
7.
Imamura, Daisuke, Masatomo Morita, Tsuyoshi Sekizuka, et al.. (2017). Comparative genome analysis of VSP-II and SNPs reveals heterogenic variation in contemporary strains of Vibrio cholerae O1 isolated from cholera patients in Kolkata, India. PLoS neglected tropical diseases. 11(2). e0005386–e0005386. 21 indexed citations
8.
Imamura, Daisuke, et al.. (2015). Stepwise changes in viable but nonculturable Vibrio cholerae cells. Microbiology and Immunology. 59(5). 305–310. 15 indexed citations
10.
Kuwana, Ritsuko, Daisuke Imamura, Hiromu Takamatsu, & Kazuhito Watabe. (2012). Discrimination of the Bacillus cereus Group Members by Pattern Analysis of Random Amplified Polymorphic DNA-PCR. Biocontrol Science. 17(2). 83–86. 9 indexed citations
11.
Imamura, Daisuke. (2012). Identification and Characterization of the Outermost Layer of <i>Bacillus subtilis</i> Spores. YAKUGAKU ZASSHI. 132(8). 919–924. 2 indexed citations
12.
Imamura, Daisuke, Ritsuko Kuwana, Lee Kroos, et al.. (2011). Substrate specificity of SpoIIGA, a signal-transducing aspartic protease in Bacilli. The Journal of Biochemistry. 149(6). 665–671. 8 indexed citations
13.
Imamura, Daisuke, Takashi Todaka, & Masato Enokizono. (2011). Fe–Mn–Si/6.5wt%Si–Fe Bilayer Ribbons Produced by Using the Melt-Spinning Technique. IEEE Transactions on Magnetics. 47(10). 3184–3187. 7 indexed citations
14.
Imamura, Daisuke, Ritsuko Kuwana, Hiromu Takamatsu, & Kazuhito Watabe. (2011). Proteins Involved in Formation of the Outermost Layer of Bacillus subtilis Spores. Journal of Bacteriology. 193(16). 4075–4080. 80 indexed citations
15.
Kodama, Takeko, Takeshi Matsubayashi, Katsutoshi Ara, et al.. (2011). A Novel Small Protein ofBacillus subtilisInvolved in Spore Germination and Spore Coat Assembly. Bioscience Biotechnology and Biochemistry. 75(6). 1119–1128. 12 indexed citations
16.
Imamura, Daisuke, Ruanbao Zhou, Michael Feig, & Lee Kroos. (2008). Evidence That the Bacillus subtilis SpoIIGA Protein Is a Novel Type of Signal-transducing Aspartic Protease. Journal of Biological Chemistry. 283(22). 15287–15299. 21 indexed citations
17.
Setlow, Barbara, Erin M. Conlon, Daisuke Imamura, et al.. (2006). The Forespore Line of Gene Expression in Bacillus subtilis. Journal of Molecular Biology. 358(1). 16–37. 217 indexed citations
19.
Imamura, Daisuke, Kazuo Kobayashi, Junichi Sekiguchi, et al.. (2004). spoIVH(ykvV), a Requisite Cortex Formation Gene, Is Expressed in Both Sporulating Compartments ofBacillus subtilis. Journal of Bacteriology. 186(16). 5450–5459. 28 indexed citations
20.
Amiteye, Samuel, et al.. (2003). Bacillus subtilis Diacylglycerol Kinase (DgkA) Enhances Efficient Sporulation. Journal of Bacteriology. 185(17). 5306–5309. 8 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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