Tomomi Saijo
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility 33
- Epidemiology top 5%
- Fungal Infections and Studies 20
- Nail Diseases and Treatments 5
- Pneumocystis jirovecii pneumonia detection and treatment 3
- Microbiology top 10%
- Small Animals top 5%
- Infectious Diseases and Mycology 5
- Microbiology top 10%
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- Peptidase Inhibition and Analysis 6
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- Signaling Pathways in Disease 3
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- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Taiga MiyazakiKatsunori YanagiharaKoichi IzumikawaShigeru KohnoYoshifumi ImamuraTakahiro TakazonoHiroshi MukaeHiroshi Kakeya
- Journals
- SHILAP Revista de lepidopterología (1 paper)PLoS ONE (1 paper)Clinical Infectious Diseases (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Tomomi Saijo
43 papers receiving 945 citations
Peers
Comparison fields: 5 of 73
- Infectious Diseases 714
- Epidemiology 635
- Microbiology 13
- Small Animals 93
- Microbiology 44
Countries citing papers authored by Tomomi Saijo
This map shows the geographic impact of Tomomi Saijo'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 Tomomi Saijo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomomi Saijo more than expected).
Fields of papers citing papers by Tomomi Saijo
This network shows the impact of papers produced by Tomomi Saijo. 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 Tomomi Saijo. The network helps show where Tomomi Saijo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tomomi Saijo, 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 | 2020 | 1 | |
| 2 | 2020 | 19 | |
| 3 | 2020 | 2 | |
| 4 | 2020 | 5 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 13 | |
| 7 | 2019 | 1 | |
| 8 | 2019 | 4 | |
| 9 | 2019 | 18 | |
| 10 | 2019 | 0 | |
| 11 | 2018 | 10 | |
| 12 | 2017 | 8 | |
| 13 | 2017 | 15 | |
| 14 | 2017 | 3 | |
| 15 | 2017 | 11 | |
| 16 | 2016 | 23 | |
| 17 | 2014 | 169 | |
| 18 | 2011 | 22 | |
| 19 | 2008 | 8 | |
| 20 | 2008 | 10 |
About Tomomi Saijo
Tomomi Saijo is a scholar working on Infectious Diseases, Microbiology and Epidemiology, having authored 45 papers that have together received 952 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (33 papers), Fungal Infections and Studies (20 papers), Peptidase Inhibition and Analysis (6 papers), Nail Diseases and Treatments (5 papers), Infectious Diseases and Mycology (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Signaling Pathways in Disease (3 papers) and Plant-Microbe Interactions and Immunity (2 papers). The work is most often cited by research in Infectious Diseases (714 citations), Epidemiology (635 citations) and Microbiology (13 citations). Tomomi Saijo has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Taiga Miyazaki, Katsunori Yanagihara, Koichi Izumikawa, Shigeru Kohno, Yoshifumi Imamura, Takahiro Takazono, Hiroshi Mukae, Hiroshi Kakeya, Kazuko Yamamoto and Kyung J. Kwon‐Chung. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.