Takeshi Tajima
- Microbiology top 1%
- Bacterial Infections and Vaccines 7
- Microbial infections and disease research 6
- Epidemiology top 5%
- Pneumonia and Respiratory Infections 17
- Respiratory viral infections research 13
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 10
- Animal Science and Zoology top 5%
- Molecular Medicine top 10%
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- Antibiotics Pharmacokinetics and Efficacy 7
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- Viral Infections and Immunology Research 6
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- Virus-based gene therapy research 4
- Co-authors
- Miyuki MorozumiSatoshi IwataKimiko UbukataNaoko ChibaKeiko HasegawaEiichi NakayamaReiko KobayashiTakafumi Okada
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Takeshi Tajima
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Microbiology 360
- Epidemiology 612
- Infectious Diseases 268
- Animal Science and Zoology 96
- Molecular Medicine 44
Countries citing papers authored by Takeshi Tajima
This map shows the geographic impact of Takeshi Tajima'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 Takeshi Tajima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeshi Tajima more than expected).
Fields of papers citing papers by Takeshi Tajima
This network shows the impact of papers produced by Takeshi Tajima. 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 Takeshi Tajima. The network helps show where Takeshi Tajima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takeshi Tajima, 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 | 2024 | 1 | |
| 3 | 2020 | 12 | |
| 4 | 2020 | 6 | |
| 5 | 2017 | 9 | |
| 6 | 2017 | 15 | |
| 7 | 2016 | 11 | |
| 8 | 2015 | 58 | |
| 9 | 2015 | 21 | |
| 10 | Clinical Efficacy of Tebipenem Pivoxil Treatment in Children with Pneumonia Classified According to Guideline-based Severity | 2013 | 1 |
| 11 | 2012 | 16 | |
| 12 | 2012 | 161 | |
| 13 | 2007 | 21 | |
| 14 | 2006 | 87 | |
| 15 | 2006 | 25 | |
| 16 | 2005 | 109 | |
| 17 | 2005 | 47 | |
| 18 | 1991 | 30 | |
| 19 | 1991 | 3 | |
| 20 | 1987 | 35 |
About Takeshi Tajima
Takeshi Tajima is a scholar working on Microbiology, Infectious Diseases and Epidemiology, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (17 papers), Respiratory viral infections research (13 papers), Viral gastroenteritis research and epidemiology (10 papers), Bacterial Infections and Vaccines (7 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Microbial infections and disease research (6 papers), Viral Infections and Immunology Research (6 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Microbiology (360 citations), Epidemiology (612 citations) and Infectious Diseases (268 citations). Takeshi Tajima has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Miyuki Morozumi, Satoshi Iwata, Kimiko Ubukata, Naoko Chiba, Keiko Hasegawa, Eiichi Nakayama, Reiko Kobayashi, Takafumi Okada, Hiroshi Sakata and Maki Hasegawa. Their work appears in journals such as PEDIATRICS, Clinical Infectious Diseases and Journal of Virology.
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.