Mikako Inoue
- Infectious Diseases top 5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Molecular Medicine top 5%
- Materials Chemistry
- Co-authors
- Michio MatsuhashiM DoiM KonnoMeirong SongNaoko YamashitaMasaaki WachiKimiko UbukataFumitoshi Ishino
- Topics
- Metal-Organic Frameworks: Synthesis and Applications (4 papers)Antimicrobial Resistance in Staphylococcus (4 papers)Thermal and Kinetic Analysis (3 papers)
In The Last Decade
Mikako Inoue
17 papers receiving 424 citations
Peers
Comparison fields: 5 of 67
- Infectious Diseases 258
- Molecular Biology 222
- Clinical Biochemistry 109
- Molecular Medicine 85
- Materials Chemistry 60
Countries citing papers authored by Mikako Inoue
This map shows the geographic impact of Mikako Inoue'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 Mikako Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikako Inoue more than expected).
Fields of papers citing papers by Mikako Inoue
This network shows the impact of papers produced by Mikako Inoue. 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 Mikako Inoue. The network helps show where Mikako Inoue may publish in the future.
Co-authorship network of co-authors of Mikako Inoue
This figure shows the co-authorship network connecting the top 25 collaborators of Mikako Inoue. A scholar is included among the top collaborators of Mikako Inoue 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 Mikako Inoue. Mikako Inoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 25 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | Slime formation as a marker of serious infection with methicillin-resistant Staphylococcus aureus. | 3 |
| 9 | 5 | |
| 10 | Nationwide investigation in Japan on the efficacy of arbekacin in methicillin-resistant Staphylococcus aureus infections. | 7 |
| 11 | [A survey of Staphylococcus aureus for typing and drug-resistance in various areas of Japan during 1992 and 1993]. | 15 |
| 12 | [Epidemiological survey of methicillin-resistant Staphylococcus aureus isolated from 34 hospitals in Japan]. | 4 |
| 13 | 35 | |
| 14 | 2 | |
| 15 | 263 | |
| 16 | 3 | |
| 17 | 1 |
About Mikako Inoue
Mikako Inoue is a scholar working on Filtration and Separation, Molecular Medicine and Biotechnology, having authored 17 papers that have together received 446 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers) and Thermal and Kinetic Analysis (3 papers). The work is most often cited by research in Molecular Medicine (85 citations), Clinical Biochemistry (109 citations) and Infectious Diseases (258 citations). Mikako Inoue has collaborated with scholars based in Japan, Kenya and Canada. Frequent co-authors include Michio Matsuhashi, M Doi, M Konno, Meirong Song, Naoko Yamashita, Masaaki Wachi, Kimiko Ubukata, Fumitoshi Ishino, Masato Saito and Yuki Inoue. Their work appears in journals such as Analytical Chemistry, Journal of Bacteriology and Chemical Physics Letters.
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.