Kazumasa Terada
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- Neuroscience and Neuropharmacology Research 3
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- Spine and Intervertebral Disc Pathology 4
- Sensory Systems top 10%
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- Cardiac electrophysiology and arrhythmias 4
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- Spinal Fractures and Fixation Techniques 6
- Cervical and Thoracic Myelopathy 4
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- Ion channel regulation and function 5
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- Neurofibromatosis and Schwannoma Cases 3
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- Pain Mechanisms and Treatments 2
- Co-authors
- Hirosi KuriyamaKenji KitamuraYôichi SugiokaYukihide IwamotoMasayoshi OgaTaichi SaitoTakeshi ArizonoTakeshi Maeda
- Journals
- SHILAP Revista de lepidopterología (1 paper)Spine (5 papers)British Journal of Pharmacology (2 papers)
- Partner nations
- JapanUnited StatesSweden
In The Last Decade
Kazumasa Terada
19 papers receiving 384 citations
Peers
Comparison fields: 5 of 44
- Cellular and Molecular Neuroscience 117
- Pathology and Forensic Medicine 107
- Sensory Systems 27
- Cardiology and Cardiovascular Medicine 107
- Surgery 197
Countries citing papers authored by Kazumasa Terada
This map shows the geographic impact of Kazumasa Terada'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 Kazumasa Terada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazumasa Terada more than expected).
Fields of papers citing papers by Kazumasa Terada
This network shows the impact of papers produced by Kazumasa Terada. 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 Kazumasa Terada. The network helps show where Kazumasa Terada may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazumasa Terada, 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 | 11 | |
| 3 | 2018 | 1 | |
| 4 | 2015 | 16 | |
| 5 | 2014 | 9 | |
| 6 | 2006 | 2 | |
| 7 | 2001 | 53 | |
| 8 | 1999 | 7 | |
| 9 | 1999 | 17 | |
| 10 | 1996 | 64 | |
| 11 | 1993 | 26 | |
| 12 | 1993 | 4 | |
| 13 | 1989 | 0 | |
| 14 | 1988 | 34 | |
| 15 | 1988 | 31 | |
| 16 | 1987 | 27 | |
| 17 | 1987 | 1 | |
| 18 | 1987 | 57 | |
| 19 | 1987 | 34 | |
| 20 | 1986 | 2 |
About Kazumasa Terada
Kazumasa Terada is a scholar working on Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Surgery, having authored 20 papers that have together received 399 indexed citations. Recurring topics across this work include Spinal Fractures and Fixation Techniques (6 papers), Ion channel regulation and function (5 papers), Cervical and Thoracic Myelopathy (4 papers), Cardiac electrophysiology and arrhythmias (4 papers), Spine and Intervertebral Disc Pathology (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (117 citations), Pathology and Forensic Medicine (107 citations) and Sensory Systems (27 citations). Kazumasa Terada has collaborated with scholars based in Japan, United States and Sweden. Frequent co-authors include Hirosi Kuriyama, Kenji Kitamura, Yôichi Sugioka, Yukihide Iwamoto, Masayoshi Oga, Taichi Saito, Takeshi Arizono, Takeshi Maeda, Takeshi Sakai and Kenji Kitamura. Their work appears in journals such as SHILAP Revista de lepidopterología, Spine and British Journal of Pharmacology.
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.