Masahiro Ishikane
- Epidemiology top 10%
- Infectious Diseases top 5%
- Applied Microbiology and Biotechnology top 0.5%
- Clinical Psychology top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Peter UedaHaruka SakamotoNorio OhmagariYoshiki KusamaCyrus GhaznaviKayoko HayakawaYuichi MurakiSatoshi Kutsuna
- Topics
- Antibiotic Use and Resistance (28 papers)COVID-19 Clinical Research Studies (22 papers)SARS-CoV-2 and COVID-19 Research (15 papers)
- Journals
- JAMANature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Masahiro Ishikane
107 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 106
- Epidemiology 420
- Infectious Diseases 386
- Applied Microbiology and Biotechnology 216
- Clinical Psychology 126
- Public Health, Environmental and Occupational Health 110
Countries citing papers authored by Masahiro Ishikane
This map shows the geographic impact of Masahiro Ishikane'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 Ishikane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masahiro Ishikane more than expected).
Fields of papers citing papers by Masahiro Ishikane
This network shows the impact of papers produced by Masahiro Ishikane. 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 Ishikane. The network helps show where Masahiro Ishikane may publish in the future.
Co-authorship network of co-authors of Masahiro Ishikane
This figure shows the co-authorship network connecting the top 25 collaborators of Masahiro Ishikane. A scholar is included among the top collaborators of Masahiro Ishikane 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 Masahiro Ishikane. Masahiro Ishikane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 7 | |
| 16 | 6 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 0 | |
| 20 | 24 |
About Masahiro Ishikane
Masahiro Ishikane is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Clinical Biochemistry, having authored 120 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (28 papers), COVID-19 Clinical Research Studies (22 papers) and SARS-CoV-2 and COVID-19 Research (15 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (216 citations), Modeling and Simulation (100 citations) and Infectious Diseases (386 citations). Masahiro Ishikane has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Peter Ueda, Haruka Sakamoto, Norio Ohmagari, Yoshiki Kusama, Cyrus Ghaznavi, Kayoko Hayakawa, Yuichi Muraki, Satoshi Kutsuna, Tamano Matsui and Tomimasa Sunagawa. Their work appears in journals such as JAMA, Nature Communications and SHILAP Revista de lepidopterología.
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.