Shioko Saito
- Endocrinology top 1%
- Infectious Diseases top 5%
- Food Science top 5%
- Molecular Medicine top 5%
- Molecular Biology
- Co-authors
- Jun YatsuyanagiKen‐ichi AmanoKatsuhiko EnomotoYoshimichi MiyajimaHiroyasu SatoTakayuki KonnoNoriyuki SuzukiIsao Ito
- Topics
- Escherichia coli research studies (15 papers)Viral gastroenteritis research and epidemiology (11 papers)Probiotics and Fermented Foods (5 papers)
In The Last Decade
Shioko Saito
27 papers receiving 467 citations
Peers
Comparison fields: 5 of 49
- Endocrinology 344
- Infectious Diseases 265
- Food Science 182
- Molecular Medicine 106
- Molecular Biology 69
Countries citing papers authored by Shioko Saito
This map shows the geographic impact of Shioko Saito'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 Shioko Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shioko Saito more than expected).
Fields of papers citing papers by Shioko Saito
This network shows the impact of papers produced by Shioko Saito. 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 Shioko Saito. The network helps show where Shioko Saito may publish in the future.
Co-authorship network of co-authors of Shioko Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Shioko Saito. A scholar is included among the top collaborators of Shioko Saito 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 Shioko Saito. Shioko Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 42 | |
| 5 | Application of a multilocus variable number of tandem repeats analysis to regional outbreak surveillance of Enterohemorrhagic Escherichia coli O157:H7 infections. | 5 |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 3 | |
| 10 | Nosocomial outbreak of ceftazidime-resistant Serratia marcescens strains that produce a chromosomal AmpC variant with N235K substitution. | 6 |
| 11 | 42 | |
| 12 | Identification of Pseudomonas aeruginosa clinical strains harboring the bla(VIM-2) metallo-beta-lactamase gene in Akita Prefecture, Japan. | 7 |
| 13 | 72 | |
| 14 | 20 | |
| 15 | 5 | |
| 16 | Enhanced antibacterial effect of erythromycin in the presence of 3,5-dibenzoyl-1,4-dihydropyridines. | 5 |
| 17 | 4 | |
| 18 | 5 | |
| 19 | 33 | |
| 20 | 9 |
About Shioko Saito
Shioko Saito is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 27 papers that have together received 489 indexed citations. Recurring topics across this work include Escherichia coli research studies (15 papers), Viral gastroenteritis research and epidemiology (11 papers) and Probiotics and Fermented Foods (5 papers). The work is most often cited by research in Endocrinology (344 citations), Molecular Medicine (106 citations) and Infectious Diseases (265 citations). Shioko Saito has collaborated with scholars based in Japan and Hungary. Frequent co-authors include Jun Yatsuyanagi, Ken‐ichi Amano, Katsuhiko Enomoto, Yoshimichi Miyajima, Hiroyasu Sato, Takayuki Konno, Noriyuki Suzuki, Isao Ito, Yuko Ito and Yoshiko Sugita‐Konishi. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Journal of Food Protection.
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.