Michihiko Goto
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- Antibiotic Use and Resistance 32
- Clinical Biochemistry top 0.5%
- Bacterial Identification and Susceptibility Testing 27
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 7
- Infectious Diseases top 2%
- Antimicrobial Resistance in Staphylococcus 21
- Clostridium difficile and Clostridium perfringens research 7
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- Patient Satisfaction in Healthcare 19
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- Emergency and Acute Care Studies 12
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- Urinary Tract Infections Management 11
- Co-authors
- Majdi N. Al‐HasanEli N. PerencevichMarin L. SchweizerDaniel J. LivorsiMichael OhlRajeshwari NairJennifer S. McDanelDaniel J. Diekema
- Journals
- New England Journal of Medicine (1 paper)SHILAP Revista de lepidopterología (7 papers)Environmental Science & Technology (1 paper)
- Partner nations
- United StatesBrazilJapan
In The Last Decade
Michihiko Goto
82 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Applied Microbiology and Biotechnology 469
- Clinical Biochemistry 703
- Molecular Medicine 200
- Infectious Diseases 574
- Critical Care and Intensive Care Medicine 123
Countries citing papers authored by Michihiko Goto
This map shows the geographic impact of Michihiko Goto'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 Michihiko Goto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michihiko Goto more than expected).
Fields of papers citing papers by Michihiko Goto
This network shows the impact of papers produced by Michihiko Goto. 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 Michihiko Goto. The network helps show where Michihiko Goto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michihiko Goto, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 13 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 17 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 1 | |
| 16 | 2022 | 2 | |
| 17 | 2020 | 28 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 9 | |
| 20 | 2018 | 5 |
About Michihiko Goto
Michihiko Goto is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (32 papers), Bacterial Identification and Susceptibility Testing (27 papers), Antimicrobial Resistance in Staphylococcus (21 papers), Patient Satisfaction in Healthcare (19 papers), Emergency and Acute Care Studies (12 papers), Urinary Tract Infections Management (11 papers), Antibiotic Resistance in Bacteria (7 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (469 citations), Clinical Biochemistry (703 citations) and Molecular Medicine (200 citations). Michihiko Goto has collaborated with scholars based in United States, Brazil and Japan. Frequent co-authors include Majdi N. Al‐Hasan, Eli N. Perencevich, Marin L. Schweizer, Daniel J. Livorsi, Michael Ohl, Rajeshwari Nair, Jennifer S. McDanel, Daniel J. Diekema, Bruce Alexander and Brice Beck. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.