Norihiko Tsukagoshi

497 total citations
8 papers, 400 citations indexed

About

Norihiko Tsukagoshi is a scholar working on Molecular Biology, Pollution and Genetics. According to data from OpenAlex, Norihiko Tsukagoshi has authored 8 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pollution and 4 papers in Genetics. Recurrent topics in Norihiko Tsukagoshi's work include Bacterial Genetics and Biotechnology (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Microbial Community Ecology and Physiology (2 papers). Norihiko Tsukagoshi is often cited by papers focused on Bacterial Genetics and Biotechnology (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers) and Microbial Community Ecology and Physiology (2 papers). Norihiko Tsukagoshi collaborates with scholars based in Japan. Norihiko Tsukagoshi's co-authors include Rikizo Aono, Mami Yamamoto, Kei Kobayashi, Satoshi Ezaki, Ryuichiro Kurane, Nobukazu Suzuki, Takeshi Kobayashi, Noriyuki Doukyu, M. Suzuki and Hiroyuki Honda and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Bacteriology and Applied Microbiology and Biotechnology.

In The Last Decade

Norihiko Tsukagoshi

8 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Norihiko Tsukagoshi Japan 6 226 179 138 70 54 8 400
Mridhu Indic United States 7 245 1.1× 192 1.1× 129 0.9× 38 0.5× 45 0.8× 7 437
E.M. Hearn Canada 7 214 0.9× 119 0.7× 81 0.6× 91 1.3× 38 0.7× 7 386
Rahul Shrivastava India 12 191 0.8× 118 0.7× 161 1.2× 89 1.3× 68 1.3× 17 422
Sophie Nolivos France 9 370 1.6× 238 1.3× 143 1.0× 64 0.9× 69 1.3× 12 575
Julien Cayron France 8 156 0.7× 79 0.4× 135 1.0× 59 0.8× 65 1.2× 10 340
Ui Okada Japan 8 171 0.8× 120 0.7× 179 1.3× 41 0.6× 49 0.9× 15 371
Neil R. Wyborn United Kingdom 12 306 1.4× 211 1.2× 48 0.3× 38 0.5× 81 1.5× 13 548
Kevin L. Griffith United States 12 534 2.4× 445 2.5× 109 0.8× 36 0.5× 110 2.0× 15 751
Anthony S. Haines United Kingdom 12 313 1.4× 207 1.2× 283 2.1× 128 1.8× 103 1.9× 16 636
Yurika Takahashi Japan 14 256 1.1× 156 0.9× 105 0.8× 56 0.8× 66 1.2× 33 436

Countries citing papers authored by Norihiko Tsukagoshi

Since Specialization
Citations

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

Fields of papers citing papers by Norihiko Tsukagoshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norihiko Tsukagoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Norihiko Tsukagoshi. A scholar is included among the top collaborators of Norihiko Tsukagoshi 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 Norihiko Tsukagoshi. Norihiko Tsukagoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Tsukagoshi, Norihiko, et al.. (2005). Isolation and transcriptional analysis of novel tetrachloroethene reductive dehalogenase gene from Desulfitobacterium sp. strain KBC1. Applied Microbiology and Biotechnology. 69(5). 543–553. 24 indexed citations
2.
Shimizu, Kazunori, M. Suzuki, Norihiko Tsukagoshi, et al.. (2005). Discovery of glpC , an Organic Solvent Tolerance-Related Gene in Escherichia coli , Using Gene Expression Profiles from DNA Microarrays. Applied and Environmental Microbiology. 71(2). 1093–1096. 32 indexed citations
3.
Ohtsu, Iwao, Nobuto Kakuda, Norihiko Tsukagoshi, et al.. (2004). Transcriptional Analysis of theostA/impGene Involved in Organic Solvent Sensitivity inEscherichia coli. Bioscience Biotechnology and Biochemistry. 68(2). 458–461. 4 indexed citations
4.
Kobayashi, Kei, Norihiko Tsukagoshi, & Rikizo Aono. (2001). Suppression of Hypersensitivity of Escherichia coli acrB Mutant to Organic Solvents by Integrational Activation of the acrEF Operon with the IS 1 or IS 2 Element. Journal of Bacteriology. 183(8). 2646–2653. 70 indexed citations
6.
Tsukagoshi, Norihiko & Rikizo Aono. (2000). Entry into and Release of Solvents by Escherichia coli in an Organic-Aqueous Two-Liquid-Phase System and Substrate Specificity of the AcrAB-TolC Solvent-Extruding Pump. Journal of Bacteriology. 182(17). 4803–4810. 88 indexed citations
7.
Tsukagoshi, Norihiko, et al.. (1999). Deterioration of Tolerance to Hydrophobic Organic Solvents in a Toluene-Tolerant Strain ofPseudomonas putidaunder the Conditions Lowering Aerobic Respiration. Bioscience Biotechnology and Biochemistry. 63(8). 1400–1406. 2 indexed citations
8.
Aono, Rikizo, Norihiko Tsukagoshi, & Mami Yamamoto. (1998). Involvement of Outer Membrane Protein TolC, a Possible Member of the mar-sox Regulon, in Maintenance and Improvement of Organic Solvent Tolerance of Escherichia coli K-12. Journal of Bacteriology. 180(4). 938–944. 160 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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