Toshi Nada
Impact in
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
- Endocrinology top 10%
Papers in
-
- Antimicrobial Resistance in Staphylococcus 5
- Surgery 7
- Helicobacter pylori-related gastroenterology studies 6
- Co-authors
- Yoshitsugu Iinuma (5 shared papers)Michio Ohta (8 shared papers)Teruko Ohkura (5 shared papers)Keizo Torii (3 shared papers)Satoshi Ichiyama (8 shared papers)Shin-nosuke Hashikawa (1 shared paper)Manabu Furushita (1 shared paper)Tadao Hasegawa (1 shared paper)
In The Last Decade
Toshi Nada
18 papers receiving 516 citations
Peers
Comparison fields: 5 of 78
- Clinical Biochemistry 83
- Endocrinology 57
- Infectious Diseases 199
- Small Animals 60
- Molecular Medicine 33
Countries citing papers authored by Toshi Nada
This map shows the geographic impact of Toshi Nada'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 Toshi Nada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshi Nada more than expected).
Fields of papers citing papers by Toshi Nada
This network shows the impact of papers produced by Toshi Nada. 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 Toshi Nada. The network helps show where Toshi Nada may publish in the future.
Co-authors
The 25 scholars most cited alongside Toshi Nada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 147 | |
| 2 | 2003 | 77 | |
| 3 | 1998 | 62 | |
| 4 | 2001 | 48 | |
| 5 | 1997 | 39 | |
| 6 | 1994 | 37 | |
| 7 | 2009 | 31 | |
| 8 | A small outbreak of third generation cephem-resistant Citrobacter freundii infection on a surgical ward. | 2004 | 27 |
| 9 | Usefulness of phage open-reading frame typing method in an epidemiological study of an outbreak of methicillin-resistant Staphylococcus aureus infections. | 2009 | 14 |
| 10 | 1998 | 11 | |
| 11 | 2009 | 11 | |
| 12 | 1999 | 10 | |
| 13 | 1997 | 9 | |
| 14 | 2001 | 6 | |
| 15 | 2004 | 4 | |
| 16 | 1992 | 2 | |
| 17 | 1998 | 2 | |
| 18 | 1991 | 1 |
About Toshi Nada
Toshi Nada is a scholar working on Infectious Diseases, Surgery, Small Animals, Epidemiology and Clinical Biochemistry, having authored 18 papers that have together received 538 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (6 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Veterinary medicine and infectious diseases (4 papers), Galectins and Cancer Biology (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial infections and disease research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Clinical Biochemistry (83 citations), Endocrinology (57 citations), Infectious Diseases (199 citations), Small Animals (60 citations) and Molecular Medicine (33 citations). Toshi Nada has collaborated with scholars based in Japan, Australia and France. Frequent co-authors include Yoshitsugu Iinuma, Michio Ohta, Teruko Ohkura, Keizo Torii, Satoshi Ichiyama, Shin-nosuke Hashikawa, Manabu Furushita, Tadao Hasegawa, Tetsuya Yagi and Keigo Shibayama. Their work appears in journals such as Journal of Clinical Microbiology, Infection and Immunity, Journal of Clinical Gastroenterology, Molecular Microbiology and CHEST Journal.
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.