Toru Shigematsu

2.9k total citations
87 papers, 2.4k citations indexed

About

Toru Shigematsu is a scholar working on Molecular Biology, Biotechnology and Building and Construction. According to data from OpenAlex, Toru Shigematsu has authored 87 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 32 papers in Biotechnology and 22 papers in Building and Construction. Recurrent topics in Toru Shigematsu's work include Microbial Inactivation Methods (24 papers), Anaerobic Digestion and Biogas Production (22 papers) and Wastewater Treatment and Nitrogen Removal (13 papers). Toru Shigematsu is often cited by papers focused on Microbial Inactivation Methods (24 papers), Anaerobic Digestion and Biogas Production (22 papers) and Wastewater Treatment and Nitrogen Removal (13 papers). Toru Shigematsu collaborates with scholars based in Japan, China and United States. Toru Shigematsu's co-authors include Shigeru Morimura, Kenji Kida, Yue‐Qin Tang, Keisuke Kida, Takahiro Kanagawa, Abdelgawad A. Fahmi, Satoshi Hanada, Mayumi Hayashi, Shigeaki Ueno and Yoichi Kamagata and has published in prestigious journals such as Gastroenterology, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Toru Shigematsu

84 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Toru Shigematsu Japan 27 969 715 504 441 372 87 2.4k
Shigeru Morimura Japan 38 2.1k 2.2× 975 1.4× 532 1.1× 1.1k 2.5× 330 0.9× 149 4.3k
Ed W. J. van Niel Sweden 30 1.3k 1.3× 899 1.3× 741 1.5× 1.3k 2.9× 325 0.9× 68 3.0k
Marc Labat France 33 976 1.0× 390 0.5× 491 1.0× 433 1.0× 587 1.6× 74 2.8k
Duangporn Kantachote Thailand 34 1.6k 1.7× 301 0.4× 504 1.0× 301 0.7× 370 1.0× 136 4.2k
Suresh Kumar Dubey India 29 609 0.6× 223 0.3× 829 1.6× 336 0.8× 397 1.1× 103 2.3k
Yutaka Nakashimada Japan 34 1.7k 1.8× 1.4k 1.9× 568 1.1× 1.5k 3.4× 255 0.7× 128 3.8k
Valéria Maia de Oliveira Brazil 33 827 0.9× 449 0.6× 1.2k 2.4× 482 1.1× 989 2.7× 123 3.0k
Jaisoo Kim South Korea 28 1.4k 1.4× 329 0.5× 947 1.9× 419 1.0× 1.0k 2.8× 170 3.4k
Kenji Kida Japan 42 1.8k 1.8× 1.3k 1.8× 977 1.9× 1.8k 4.0× 349 0.9× 188 5.1k
A. Rinzema Netherlands 35 1.3k 1.3× 862 1.2× 543 1.1× 1.3k 3.0× 103 0.3× 81 3.8k

Countries citing papers authored by Toru Shigematsu

Since Specialization
Citations

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

Fields of papers citing papers by Toru Shigematsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toru Shigematsu

This figure shows the co-authorship network connecting the top 25 collaborators of Toru Shigematsu. A scholar is included among the top collaborators of Toru Shigematsu 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 Toru Shigematsu. Toru Shigematsu 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.
2.
Iguchi, Akinori, et al.. (2019). High-throughput screening of food additives with synergistic effects on high hydrostatic pressure inactivation of budding yeast. High Pressure Research. 39(2). 280–292. 3 indexed citations
3.
Kubota, Masatoshi, Akinori Iguchi, Toru Shigematsu, et al.. (2019). Effects of <i>Koji amazake</i> and Its Lactic Acid Fermentation Product by <i>Lactobacillus sakei</i> UONUMA on Defecation Status in Healthy Volunteers with Relatively Low Stool Frequency. Food Science and Technology Research. 25(6). 853–861. 4 indexed citations
4.
Iguchi, Akinori, et al.. (2019). INVESTIGATION OF ANAEROBIC MICROBES POTENCIALLY CONTRIBUTING TO OCTADECANE DEGRADATION IN METHANE FERMENTATION PROCESS. Journal of Japan Society of Civil Engineers Ser G (Environmental Research). 75(7). III_145–III_151.
5.
Takahashi, Daiki, et al.. (2013). Diversities and similarities in pH dependency among bacterial NhaB-like Na+/H+ antiporters. Microbiology. 159(Pt_10). 2191–2199. 2 indexed citations
6.
Shigematsu, Toru, et al.. (2009). Microbial communities related to methane fermentation processes - monograph.. 87(12). 570–596. 5 indexed citations
7.
Shigematsu, Toru, et al.. (2009). A culture-dependent bacterial community structure analysis based on liquid cultivation and its application to a marine environment. FEMS Microbiology Letters. 293(2). 240–247. 15 indexed citations
8.
Seki, Takahiro, et al.. (2008). Antioxidant Activity of Vinegar Produced from Distilled Residues of the Japanese Liquor Shochu. Journal of Agricultural and Food Chemistry. 56(10). 3785–3790. 19 indexed citations
9.
Seki, Takahiro, Shigeru Morimura, Hideki Ohba, et al.. (2008). Immunostimulation-Mediated Antitumor Activity by Preconditioning with Rice-ShochuDistillation Residue Against Implanted Tumor in Mice. Nutrition and Cancer. 60(6). 776–783. 6 indexed citations
11.
Ueno, Shigeaki, et al.. (2007). Engineering Studies on High-Pressure Induced Transformation of Rice. Medical Entomology and Zoology. 1(1). 308–314. 1 indexed citations
12.
Morimura, Shigeru, et al.. (2006). Evaluation of the Microorganism Adsorptive Abilities of Resins Containing Pyridinium Groups Prepared from Foam Polystyrene. Journal of the Japan Society of Waste Management Experts. 17(2). 135–141. 2 indexed citations
13.
Shigematsu, Toru, et al.. (2006). Microbial community of a mesophilic propionate-degrading methanogenic consortium in chemostat cultivation analyzed based on 16S rRNA and acetate kinase genes. Applied Microbiology and Biotechnology. 72(2). 401–415. 80 indexed citations
15.
Morimura, Shigeru, et al.. (2005). Production of Vinegar from Boiled Soybean Extract and Evaluation of Its Physiological Activities in vitro. Nippon Shokuhin Kagaku Kogaku Kaishi. 52(12). 578–583. 2 indexed citations
16.
Kida, Kenji, Shigeru Morimura, & Toru Shigematsu. (2004). Development of an Application Process for Waste Biomass. Waste Management Research. 15(2). 77–88. 1 indexed citations
17.
Shigematsu, Toru, et al.. (2004). Effect of Dilution Rate on Metabolic Pathway Shift between Aceticlastic and Nonaceticlastic Methanogenesis in Chemostat Cultivation. Applied and Environmental Microbiology. 70(7). 4048–4052. 82 indexed citations
18.
Morimura, Shigeru, et al.. (2004). In VitroEvaluation of Physiological Activity of Vinegar Produced from Barley-, Sweet Potato-, and Rice-shochuPost-distillation Slurry. Bioscience Biotechnology and Biochemistry. 68(3). 551–556. 42 indexed citations
19.
Kida, Kenji, et al.. (2001). Influence of Ni2+ and Co2+ on Methanogenic Activity and the Amounts of Coenzymes Involved in Methanogenesis.. Journal of Bioscience and Bioengineering. 91(6). 590–595. 31 indexed citations
20.
Zhang, Heng, Satoshi Hanada, Toru Shigematsu, et al.. (2000). Burkholderia kururiensis sp. nov., a trichloroethylene (TCE)-degrading bacterium isolated from an aquifer polluted with TCE.. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 50(2). 743–749. 107 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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