Masayuki Shimojima
- Infectious Diseases top 0.5%
- Epidemiology top 2%
- Ecology, Evolution, Behavior and Systematics top 1%
- Public Health, Environmental and Occupational Health top 2%
- Molecular Biology
- Co-authors
- Masayuki SaijoYoshihiro KawaokaShuetsu FukushiTomoki YoshikawaYorihiro NishimuraShigeru MorikawaHideki TaniHiroyuki Shimizu
- Topics
- Viral Infections and Vectors (74 papers)Viral Infections and Outbreaks Research (59 papers)Vector-Borne Animal Diseases (31 papers)
- 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
- Epidemiology 1.2k
- Ecology, Evolution, Behavior and Systematics 734
- Public Health, Environmental and Occupational Health 624
- Molecular Biology 553
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 of co-authors of Masayuki Shimojima
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Shimojima. A scholar is included among the top collaborators of Masayuki Shimojima based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masayuki Shimojima. Masayuki Shimojima is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 10 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 3 | |
| 14 | 13 | |
| 15 | 30 | |
| 16 | 17 | |
| 17 | 32 | |
| 18 | 23 | |
| 19 | 16 | |
| 20 | [Evaluation of a newly developed broth microdilution test method to determine minimum inhibitory concentrations (MICs) of antimicrobial agents for mycobacteria]. | 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) and Vector-Borne Animal Diseases (31 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.