Mitsunaga Iwata
- Infectious Diseases top 10%
- Physiology top 10%
- Surgery
- Geriatrics and Gerontology top 2%
- Epidemiology
- Co-authors
- Masafumi KuzuyaAkihisa IguchiJun HasegawaTeruhiko TerasawaYoshihisa HirakawaHiromi EnokiYuichiro MasudaYohei Doi
- Topics
- Health Systems, Economic Evaluations, Quality of Life (6 papers)Streptococcal Infections and Treatments (6 papers)COVID-19 Clinical Research Studies (5 papers)
- Journals
- New England Journal of MedicineSHILAP Revista de lepidopterologíaClinical Infectious Diseases
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Mitsunaga Iwata
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 113
- Infectious Diseases 207
- Physiology 193
- Surgery 179
- Geriatrics and Gerontology 168
- Epidemiology 161
Countries citing papers authored by Mitsunaga Iwata
This map shows the geographic impact of Mitsunaga Iwata'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 Mitsunaga Iwata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsunaga Iwata more than expected).
Fields of papers citing papers by Mitsunaga Iwata
This network shows the impact of papers produced by Mitsunaga Iwata. 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 Mitsunaga Iwata. The network helps show where Mitsunaga Iwata may publish in the future.
Co-authorship network of co-authors of Mitsunaga Iwata
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsunaga Iwata. A scholar is included among the top collaborators of Mitsunaga Iwata 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 Mitsunaga Iwata. Mitsunaga Iwata 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 | 0 | |
| 4 | 5 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 168 | |
| 13 | 41 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 40 | |
| 17 | 56 | |
| 18 | 55 | |
| 19 | 0 | |
| 20 | [Vibration hazards in quarry workers]. | 5 |
About Mitsunaga Iwata
Mitsunaga Iwata is a scholar working on Geriatrics and Gerontology, Critical Care and Intensive Care Medicine and Emergency Medicine, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (6 papers), Streptococcal Infections and Treatments (6 papers) and COVID-19 Clinical Research Studies (5 papers). The work is most often cited by research in Geriatrics and Gerontology (168 citations), Emergency Medicine (138 citations) and Critical Care and Intensive Care Medicine (62 citations). Mitsunaga Iwata has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masafumi Kuzuya, Akihisa Iguchi, Jun Hasegawa, Teruhiko Terasawa, Yoshihisa Hirakawa, Hiromi Enoki, Yuichiro Masuda, Yohei Doi, Sachiko Izawa and Takuma Ishihara. Their work appears in journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and Clinical Infectious Diseases.
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.