Tomoko Shima
- Endocrinology top 5%
- Escherichia coli research studies 4
- Vibrio bacteria research studies 2
- Toxicology top 5%
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 4
- Viral gastroenteritis research and epidemiology 4
- Clinical Biochemistry top 10%
- Bacterial Identification and Susceptibility Testing 3
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- Streptococcal Infections and Treatments 7
- Neonatal and Maternal Infections 3
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- Salmonella and Campylobacter epidemiology 4
- Co-authors
- Yasuteru SanoA MatsumaeT. HataRyozo SugawaraTakeshi HoshiJunko IsobeMasanori WatahikiKeiko Kimata
- Journals
- Applied and Environmental Microbiology (1 paper)Journal of Clinical Microbiology (2 papers)American Journal of Physiology-Renal Physiology (1 paper)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Tomoko Shima
31 papers receiving 522 citations
Peers
Comparison fields: 5 of 91
- Endocrinology 101
- Toxicology 45
- Infectious Diseases 147
- Clinical Biochemistry 39
- Biotechnology 38
Countries citing papers authored by Tomoko Shima
This map shows the geographic impact of Tomoko Shima'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 Tomoko Shima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Shima more than expected).
Fields of papers citing papers by Tomoko Shima
This network shows the impact of papers produced by Tomoko Shima. 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 Tomoko Shima. The network helps show where Tomoko Shima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomoko Shima, 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 | 2024 | 0 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 2 | |
| 4 | 2015 | 9 | |
| 5 | 2014 | 3 | |
| 6 | 2014 | 6 | |
| 7 | 2014 | 52 | |
| 8 | 2014 | 16 | |
| 9 | 2014 | 4 | |
| 10 | 2014 | 20 | |
| 11 | 2013 | 2 | |
| 12 | 2013 | 13 | |
| 13 | 2012 | 8 | |
| 14 | 2011 | 3 | |
| 15 | Emergence of clindamycin-resistant Streptococcus pyogenes isolates obtained from patients with severe invasive infections in Japan. | 2010 | 5 |
| 16 | 2010 | 4 | |
| 17 | 2010 | 16 | |
| 18 | 2006 | 9 | |
| 19 | 1997 | 4 | |
| 20 | [Aneurysmal bone cyst of the skull -a case report- (author's transl)]. | 1978 | 0 |
About Tomoko Shima
Tomoko Shima is a scholar working on Endocrinology, Infectious Diseases and Family Practice, having authored 33 papers that have together received 539 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (7 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Escherichia coli research studies (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Salmonella and Campylobacter epidemiology (4 papers), Neonatal and Maternal Infections (3 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Endocrinology (101 citations), Toxicology (45 citations) and Infectious Diseases (147 citations). Tomoko Shima has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yasuteru Sano, A Matsumae, T. Hata, Ryozo Sugawara, Takeshi Hoshi, Junko Isobe, Masanori Watahiki, Keiko Kimata, Daisuke Tanaka and Rumi Okuno. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Clinical Microbiology and American Journal of Physiology-Renal Physiology.
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.