Masahiro Shimojima
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 20
- Endocrinology top 1%
- Infections and bacterial resistance 7
- Enterobacteriaceae and Cronobacter Research 3
- Clinical Biochemistry top 5%
- Microbiology top 10%
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- Bacterial biofilms and quorum sensing 12
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- Mycobacterium research and diagnosis 8
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- Tuberculosis Research and Epidemiology 6
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- Pharmaceutical and Antibiotic Environmental Impacts 6
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- Bacteriophages and microbial interactions 3
- Co-authors
- Tohru Miyoshi‐AkiyamaTeruo KirikaeTatsuya TadaNorio OhmagariKayoko HayakawaKayo ShimadaKyoko Kuwahara‐AraiTomomi Hishinuma
- Partner nations
- JapanUnited StatesMyanmar
In The Last Decade
Masahiro Shimojima
37 papers receiving 926 citations
Peers
Comparison fields: 5 of 61
- Molecular Medicine 605
- Endocrinology 333
- Applied Microbiology and Biotechnology 76
- Clinical Biochemistry 103
- Microbiology 8
Countries citing papers authored by Masahiro Shimojima
This map shows the geographic impact of Masahiro 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 Masahiro Shimojima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Shimojima more than expected).
Fields of papers citing papers by Masahiro Shimojima
This network shows the impact of papers produced by Masahiro 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 Masahiro Shimojima. The network helps show where Masahiro Shimojima may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Masahiro 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 | 2023 | 3 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 23 | |
| 5 | 2020 | 18 | |
| 6 | 2020 | 23 | |
| 7 | 2020 | 44 | |
| 8 | 2018 | 39 | |
| 9 | 2017 | 91 | |
| 10 | 2016 | 16 | |
| 11 | 2016 | 104 | |
| 12 | 2016 | 18 | |
| 13 | 2015 | 19 | |
| 14 | 2014 | 8 | |
| 15 | 2013 | 35 | |
| 16 | 2013 | 158 | |
| 17 | 2012 | 25 | |
| 18 | 2012 | 27 | |
| 19 | 2006 | 13 | |
| 20 | 2004 | 13 |
About Masahiro Shimojima
Masahiro Shimojima is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 936 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (20 papers), Bacterial biofilms and quorum sensing (12 papers), Mycobacterium research and diagnosis (8 papers), Infections and bacterial resistance (7 papers), Tuberculosis Research and Epidemiology (6 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Bacteriophages and microbial interactions (3 papers) and Enterobacteriaceae and Cronobacter Research (3 papers). The work is most often cited by research in Molecular Medicine (605 citations), Endocrinology (333 citations) and Applied Microbiology and Biotechnology (76 citations). Masahiro Shimojima has collaborated with scholars based in Japan, United States and Myanmar. Frequent co-authors include Tohru Miyoshi‐Akiyama, Teruo Kirikae, Tatsuya Tada, Norio Ohmagari, Kayoko Hayakawa, Teruo Kirikae, Kayo Shimada, Kyoko Kuwahara‐Arai, Tomomi Hishinuma and Masashi Tanaka. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Clinical Microbiology.
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.