Etsu T. Fuse
- Endocrinology top 2%
- Legionella and Acanthamoeba research 3
- Immunology top 10%
- Immune Response and Inflammation 2
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria 2
- Microbiology top 10%
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- Heme Oxygenase-1 and Carbon Monoxide 1
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- Pneumonia and Respiratory Infections 3
- Respiratory viral infections research 1
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- Erythrocyte Function and Pathophysiology 2
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- Myasthenia Gravis and Thymoma 1
- Co-authors
- Kazuhiro TatedaBrenda ByrneAri B. MolofskyNatalie N. WhitfieldMichele S. SwansonCressida A. MadiganKeizo YamaguchiTheodore J. Standiford
- Journals
- Journal of Medical Microbiology (3 papers)The Journal of Cell Biology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Etsu T. Fuse
9 papers receiving 573 citations
Peers
Comparison fields: 5 of 63
- Endocrinology 225
- Immunology 292
- Molecular Medicine 35
- Microbiology 41
- Molecular Biology 331
Countries citing papers authored by Etsu T. Fuse
This map shows the geographic impact of Etsu T. Fuse'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 Etsu T. Fuse with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Etsu T. Fuse more than expected).
Fields of papers citing papers by Etsu T. Fuse
This network shows the impact of papers produced by Etsu T. Fuse. 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 Etsu T. Fuse. The network helps show where Etsu T. Fuse may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Etsu T. Fuse, 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 | 2009 | 25 | |
| 2 | 2008 | 5 | |
| 3 | [Evaluation of the usefulness of a rapid immunochromatographic membrane test to detect Streptococcus pneumoniae antigen in the early diagnosis of pneumococcal respiratory tract infections and the relationship to the severity of pneumonia]. | 2008 | 2 |
| 4 | 2007 | 6 | |
| 5 | 2007 | 52 | |
| 6 | [Evaluation of ImmnoCard mycoplasma for diagnosis of Mycoplasma pneumoniae infection]. | 2007 | 1 |
| 7 | 2006 | 1 | |
| 8 | 2006 | 402 | |
| 9 | 2006 | 84 |
About Etsu T. Fuse
Etsu T. Fuse is a scholar working on Endocrinology, Molecular Medicine and Critical Care and Intensive Care Medicine, having authored 9 papers that have together received 578 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (3 papers), Pneumonia and Respiratory Infections (3 papers), Immune Response and Inflammation (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Antibiotic Resistance in Bacteria (2 papers), Respiratory viral infections research (1 paper), Myasthenia Gravis and Thymoma (1 paper) and Heme Oxygenase-1 and Carbon Monoxide (1 paper). The work is most often cited by research in Endocrinology (225 citations), Immunology (292 citations) and Molecular Medicine (35 citations). Etsu T. Fuse has collaborated with scholars based in Japan and United States. Frequent co-authors include Kazuhiro Tateda, Brenda Byrne, Ari B. Molofsky, Natalie N. Whitfield, Michele S. Swanson, Cressida A. Madigan, Keizo Yamaguchi, Theodore J. Standiford, Tetsuya Matsumoto and Yoshikazu Ishii. Their work appears in journals such as Journal of Medical Microbiology, The Journal of Cell Biology, The Journal of Experimental Medicine, Pulmonary Pharmacology & Therapeutics and Lung Cancer.
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.