Masayuki Shimojima
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 74
- Viral Infections and Outbreaks Research 59
- Viral gastroenteritis research and epidemiology 20
- Virology top 2%
- HIV Research and Treatment 18
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- Vector-Borne Animal Diseases 31
- Epidemiology top 2%
- Animal Science and Zoology top 2%
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- Mosquito-borne diseases and control 27
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- Fire effects on ecosystems 25
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- Virus-based gene therapy research 16
- Co-authors
- Masayuki SaijoYoshihiro KawaokaShuetsu FukushiTomoki YoshikawaYorihiro NishimuraShigeru MorikawaHideki TaniHiroyuki Shimizu
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- JapanUnited StatesVietnam
In The Last Decade
Masayuki Shimojima
150 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 111
- Infectious Diseases 2.8k
- Virology 377
- Ecology, Evolution, Behavior and Systematics 734
- Epidemiology 1.2k
- Animal Science and Zoology 331
Countries citing papers authored by Masayuki Shimojima
This map shows the geographic impact of Masayuki Shimojima'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 Masayuki Shimojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Shimojima more than expected).
Fields of papers citing papers by Masayuki Shimojima
This network shows the impact of papers produced by Masayuki Shimojima. 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 Masayuki Shimojima. The network helps show where Masayuki Shimojima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masayuki Shimojima, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 2 | |
| 11 | 2021 | 5 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 13 | |
| 15 | 2019 | 30 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 32 | |
| 18 | 2016 | 23 | |
| 19 | 2011 | 16 | |
| 20 | [Evaluation of a newly developed broth microdilution test method to determine minimum inhibitory concentrations (MICs) of antimicrobial agents for mycobacteria]. | 1998 | 3 |
About Masayuki Shimojima
Masayuki Shimojima is a scholar working on Infectious Diseases, Virology and Ecology, Evolution, Behavior and Systematics, having authored 155 papers that have together received 4.3k indexed citations. Recurring topics across this work include Viral Infections and Vectors (74 papers), Viral Infections and Outbreaks Research (59 papers), Vector-Borne Animal Diseases (31 papers), Mosquito-borne diseases and control (27 papers), Fire effects on ecosystems (25 papers), Viral gastroenteritis research and epidemiology (20 papers), HIV Research and Treatment (18 papers) and Virus-based gene therapy research (16 papers). The work is most often cited by research in Infectious Diseases (2.8k citations), Virology (377 citations) and Ecology, Evolution, Behavior and Systematics (734 citations). Masayuki Shimojima has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Masayuki Saijo, Yoshihiro Kawaoka, Shuetsu Fukushi, Tomoki Yoshikawa, Yorihiro Nishimura, Shigeru Morikawa, Hideki Tani, Hiroyuki Shimizu, Takaji Wakita and Takayuki Miyazawa. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.