Toshitaka Koinuma
- Internal Medicine top 10%
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- Trauma, Hemostasis, Coagulopathy, Resuscitation 6
- Nephrology top 10%
- Acute Kidney Injury Research 3
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- Sepsis Diagnosis and Treatment 9
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- Hemodynamic Monitoring and Therapy 5
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- Pituitary Gland Disorders and Treatments 2
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- Traumatic Brain Injury and Neurovascular Disturbances 2
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- Mechanical Circulatory Support Devices 2
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- Moyamoya disease diagnosis and treatment 1
- Co-authors
- Kansuke KoyamaShin NunomiyaMasahiko WadaShinshu KatayamaKen TonaiYuya GotoTsukasa OhmoriYoichi Sakata
- Partner nations
- JapanUnited States
In The Last Decade
Toshitaka Koinuma
18 papers receiving 352 citations
Peers
Comparison fields: 5 of 59
- Internal Medicine 47
- Critical Care and Intensive Care Medicine 57
- Nephrology 74
- Hematology 64
- Epidemiology 187
Countries citing papers authored by Toshitaka Koinuma
This map shows the geographic impact of Toshitaka Koinuma'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 Toshitaka Koinuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshitaka Koinuma more than expected).
Fields of papers citing papers by Toshitaka Koinuma
This network shows the impact of papers produced by Toshitaka Koinuma. 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 Toshitaka Koinuma. The network helps show where Toshitaka Koinuma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Toshitaka Koinuma, 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 | 2022 | 3 | |
| 2 | 2019 | 15 | |
| 3 | 2019 | 16 | |
| 4 | 2019 | 9 | |
| 5 | 2018 | 4 | |
| 6 | 2018 | 46 | |
| 7 | 2018 | 14 | |
| 8 | 2017 | 54 | |
| 9 | 2016 | 40 | |
| 10 | 2014 | 7 | |
| 11 | 2014 | 1 | |
| 12 | 2014 | 116 | |
| 13 | 2013 | 15 | |
| 14 | 2012 | 3 | |
| 15 | [Predictive analysis for myasthenic crisis after transsternal thymectomy in patients with myasthenia gravis]. | 2012 | 3 |
| 16 | 2012 | 3 | |
| 17 | 2012 | 4 | |
| 18 | 2012 | 0 | |
| 19 | 2010 | 0 | |
| 20 | [Posterior interosseous nerve palsy in a man in a lateral position for laparoscopic adrenalectomy--a case report]. | 2005 | 3 |
About Toshitaka Koinuma
Toshitaka Koinuma is a scholar working on Critical Care and Intensive Care Medicine, Nephrology and Transplantation, having authored 20 papers that have together received 356 indexed citations. Recurring topics across this work include Sepsis Diagnosis and Treatment (9 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (6 papers), Hemodynamic Monitoring and Therapy (5 papers), Acute Kidney Injury Research (3 papers), Pituitary Gland Disorders and Treatments (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Mechanical Circulatory Support Devices (2 papers) and Moyamoya disease diagnosis and treatment (1 paper). The work is most often cited by research in Internal Medicine (47 citations), Critical Care and Intensive Care Medicine (57 citations) and Nephrology (74 citations). Toshitaka Koinuma has collaborated with scholars based in Japan and United States. Frequent co-authors include Kansuke Koyama, Shin Nunomiya, Masahiko Wada, Shinshu Katayama, Ken Tonai, Yuya Goto, Tsukasa Ohmori, Yoichi Sakata, Jun Mimuro and Seiji Madoiwa. Their work appears in journals such as PLoS ONE, Critical Care and Thrombosis Research.
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.