Shinya Yonogi

482 total citations
15 papers, 367 citations indexed

About

Shinya Yonogi is a scholar working on Infectious Diseases, Endocrinology and Biotechnology. According to data from OpenAlex, Shinya Yonogi has authored 15 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Endocrinology and 4 papers in Biotechnology. Recurrent topics in Shinya Yonogi's work include Clostridium difficile and Clostridium perfringens research (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Shinya Yonogi is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers) and Toxin Mechanisms and Immunotoxins (4 papers). Shinya Yonogi collaborates with scholars based in Japan and Vietnam. Shinya Yonogi's co-authors include Yuko Kumeda, Masashi Kanki, Takao Kawai, Tetsuya Harada, Yoshimasa Yamamoto, Ryuji Kawahara, Michio Jinnai, Kentaro Kawatsu, Yuji Hirai and Hiromi Nakamura and has published in prestigious journals such as Scientific Reports, Biochemical and Biophysical Research Communications and Journal of Clinical Microbiology.

In The Last Decade

Shinya Yonogi

15 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Yonogi Japan 10 170 140 111 96 92 15 367
Marius Virgailis Lithuania 11 110 0.6× 113 0.8× 44 0.4× 80 0.8× 91 1.0× 27 311
Tom Chiller United States 6 93 0.5× 153 1.1× 70 0.6× 109 1.1× 54 0.6× 8 354
Julie E. Russell United Kingdom 10 161 0.9× 63 0.5× 67 0.6× 70 0.7× 131 1.4× 24 352
Tomasz Wołkowicz Poland 11 129 0.8× 166 1.2× 137 1.2× 136 1.4× 93 1.0× 39 429
Cherilyn D. Garner United States 9 174 1.0× 198 1.4× 130 1.2× 91 0.9× 223 2.4× 16 534
Vaida Šeputienė Lithuania 13 75 0.4× 90 0.6× 135 1.2× 208 2.2× 127 1.4× 18 420
You-Wun Wang Taiwan 13 66 0.4× 234 1.7× 200 1.8× 169 1.8× 59 0.6× 26 383
Michael S. M. Brouwer Netherlands 12 367 2.2× 74 0.5× 89 0.8× 146 1.5× 143 1.6× 19 581
Alaeddine Meghraoui Belgium 6 73 0.4× 73 0.5× 81 0.7× 106 1.1× 58 0.6× 7 289
Maribel León Colombia 8 79 0.5× 219 1.6× 70 0.6× 142 1.5× 68 0.7× 11 346

Countries citing papers authored by Shinya Yonogi

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Yonogi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Yonogi

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

All Works

15 of 15 papers shown
1.
Yonogi, Shinya, et al.. (2024). Rapid Quantification of <i>Escherichia coli</i> O157:H7 and <i>Salmonella</i> Typhimurium in Lettuce Using Immunomagnetic Separation and a Microfluidic System. Biological and Pharmaceutical Bulletin. 47(11). 1931–1936. 2 indexed citations
2.
Nakagawa, Hikaru, Shinya Yonogi, Youichi Suzuki, et al.. (2024). Regional and temporal genotype profiling of Clostridioides difficile in a multi-institutional study in Japan. Scientific Reports. 14(1). 21559–21559. 1 indexed citations
3.
Kawahara, Kazuki, Yusuke Yamaguchi, Kazuhiro Yamada, et al.. (2022). Analysis of the complete genome sequences of Clostridium perfringens strains harbouring the binary enterotoxin BEC gene and comparative genomics of pCP13-like family plasmids. BMC Genomics. 23(1). 226–226. 12 indexed citations
4.
Yonogi, Shinya, et al.. (2021). Microfluidic rapid quantification of Salmonella enterica serovar Typhimurium collected from chicken meat using immunomagnetic separation after formaldehyde treatment. International Journal of Food Science & Technology. 56(10). 5402–5408. 3 indexed citations
5.
Nitta, Masahiko, et al.. (2019). Type A fulminant Clostridium perfringens sepsis indicated RBC/Hb discrepancy; a case report. BMC Infectious Diseases. 19(1). 719–719. 9 indexed citations
6.
Yamaguchi, Takahiro, Ryuji Kawahara, Chihiro Katsukawa, et al.. (2018). Foodborne Outbreak of Group G Streptococcal Pharyngitis in a School Dormitory in Osaka, Japan. Journal of Clinical Microbiology. 56(5). 5 indexed citations
7.
Harada, Tetsuya, Michio Jinnai, Shinya Yonogi, et al.. (2017). Prevalence and Antimicrobial Susceptibility of Enterobacteriaceae Isolated from Retail Pepper in Vietnam. Journal of Food Protection. 80(5). 716–724. 18 indexed citations
8.
Umeda, Kaoru, Shinya Yonogi, Hiromi Nakamura, et al.. (2017). Staphylococcal food poisoning caused by Staphylococcus argenteus harboring staphylococcal enterotoxin genes. International Journal of Food Microbiology. 265. 23–29. 58 indexed citations
9.
Yonogi, Shinya, et al.. (2016). Development and application of a multiplex PCR assay for detection of the Clostridium perfringens enterotoxin-encoding genes cpe and becAB. Journal of Microbiological Methods. 127. 172–175. 11 indexed citations
10.
Kawahara, Kazuki, Shinya Yonogi, Takuya Yoshida, et al.. (2016). Crystal structure of the ADP-ribosylating component of BEC, the binary enterotoxin of Clostridium perfringens. Biochemical and Biophysical Research Communications. 480(2). 261–267. 6 indexed citations
11.
Kanki, Masashi, Phuc Nguyen, Hien Thi Thu Le, et al.. (2016). Prevalence, antibiotic resistance, and extended-spectrum and AmpC β-lactamase productivity of Salmonella isolates from raw meat and seafood samples in Ho Chi Minh City, Vietnam. International Journal of Food Microbiology. 236. 115–122. 98 indexed citations
12.
Harada, Tetsuya, Mitsuo Sakamoto, Moriya Ohkuma, et al.. (2016). Enterococcus saigonensis sp. nov., isolated from retail chicken meat and liver. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 66(10). 3779–3785. 11 indexed citations
13.
Kawai, Takao, Masashi Kanki, Ryuji Kawahara, et al.. (2016). Dissemination of Extended-Spectrumβ-Lactamase- and AmpCβ-Lactamase-ProducingEscherichia coliwithin the Food Distribution System of Ho Chi Minh City, Vietnam. BioMed Research International. 2016. 1–9. 48 indexed citations
14.
Yonogi, Shinya, Shigeaki Matsuda, Takao Kawai, et al.. (2014). BEC, a Novel Enterotoxin of Clostridium perfringens Found in Human Clinical Isolates from Acute Gastroenteritis Outbreaks. Infection and Immunity. 82(6). 2390–2399. 55 indexed citations
15.
Kanki, Masashi, Kazuko Seto, Tetsuya Harada, Shinya Yonogi, & Yuko Kumeda. (2011). Comparison of four enrichment broths for the detection of non-O157 Shiga-toxin-producing Escherichia coli O91, O103, O111, O119, O121, O145 and O165 from pure culture and food samples. Letters in Applied Microbiology. 53(2). 167–173. 30 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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