Tadashi Kamio
- Co-authors
- Ken MasamuneMasamitsu SanuiHiroshi KoyamaKazuyuki OnoAlan Kawarai LeforAtsushi MiyawakiMasao IwagamiHiroyuki Ohbe
- Topics
- COVID-19 Clinical Research Studies (5 papers)Respiratory Support and Mechanisms (4 papers)COVID-19 and healthcare impacts (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Tadashi Kamio
22 papers receiving 171 citations
Peers
Comparison fields: 5 of 60
- Epidemiology 38
- Nutrition and Dietetics 37
- Physiology 36
- Surgery 32
- Oncology 30
Countries citing papers authored by Tadashi Kamio
This map shows the geographic impact of Tadashi Kamio'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 Tadashi Kamio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tadashi Kamio more than expected).
Fields of papers citing papers by Tadashi Kamio
This network shows the impact of papers produced by Tadashi Kamio. 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 Tadashi Kamio. The network helps show where Tadashi Kamio may publish in the future.
Co-authorship network of co-authors of Tadashi Kamio
This figure shows the co-authorship network connecting the top 25 collaborators of Tadashi Kamio. A scholar is included among the top collaborators of Tadashi Kamio 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 Tadashi Kamio. Tadashi Kamio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 13 | |
| 15 | 10 | |
| 16 | Use of Machine-Learning Approaches to Predict Clinical Deterioration in Critically Ill Patients: A Systematic Review | 12 |
| 17 | 31 | |
| 18 | [Relapsed primary intraocular lymphoma treated with intravitreal methotrexate and high-dose chemotherapy followed by autologous stem cell rescue]. | 2 |
| 19 | 20 | |
| 20 | [A case of complete remission of gastric endocrine cell carcinoma with multiple bone metastasis by combination chemotherapy and high-dose chemotherapy with autologous peripheral blood stem cell transplantation]. | 3 |
About Tadashi Kamio
Tadashi Kamio is a scholar working on Emergency Medicine, Anesthesiology and Pain Medicine and Infectious Diseases, having authored 22 papers that have together received 174 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Respiratory Support and Mechanisms (4 papers) and COVID-19 and healthcare impacts (4 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (20 citations), Emergency Medicine (30 citations) and Health Informatics (4 citations). Tadashi Kamio has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ken Masamune, Masamitsu Sanui, Hiroshi Koyama, Hiroshi Koyama, Kazuyuki Ono, Alan Kawarai Lefor, Atsushi Miyawaki, Masao Iwagami, Hiroyuki Ohbe and Shinobu Imai. Their work appears in journals such as PLoS ONE, Scientific Reports and Transfusion.
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.