Takashi Kaito
- Pathology and Forensic Medicine top 0.5%
- Spine and Intervertebral Disc Pathology 71
- Surgery top 2%
- Spinal Fractures and Fixation Techniques 44
- Scoliosis diagnosis and treatment 30
- Cervical and Thoracic Myelopathy 25
- Orthopaedic implants and arthroplasty 18
- Pelvic and Acetabular Injuries 13
- Rheumatology top 2%
- Urology top 2%
-
- Bone Tissue Engineering Materials 25
-
- Musculoskeletal pain and rehabilitation 16
- Co-authors
- Takahiro MakinoHideki YoshikawaShota TakenakaJoe KodamaKazuo YonenobuDaisuke TateiwaMasafumi KashiiHiroyuki Tsukazaki
- Journals
- SHILAP Revista de lepidopterología (1 paper)Biomaterials (2 papers)Journal of Bone and Joint Surgery (2 papers)
- Partner nations
- JapanUnited StatesTürkiye
In The Last Decade
Takashi Kaito
149 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 120
- Pathology and Forensic Medicine 1.3k
- Surgery 1.8k
- Rheumatology 495
- Orthopedics and Sports Medicine 281
- Urology 190
Countries citing papers authored by Takashi Kaito
This map shows the geographic impact of Takashi Kaito'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 Takashi Kaito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kaito more than expected).
Fields of papers citing papers by Takashi Kaito
This network shows the impact of papers produced by Takashi Kaito. 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 Takashi Kaito. The network helps show where Takashi Kaito may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Takashi Kaito, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 4 | |
| 10 | 2023 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 3 | |
| 14 | 2023 | 2 | |
| 15 | 2022 | 6 | |
| 16 | 2020 | 2 | |
| 17 | 2019 | 23 | |
| 18 | 2017 | 18 | |
| 19 | 2017 | 6 | |
| 20 | 2017 | 61 |
About Takashi Kaito
Takashi Kaito is a scholar working on Pathology and Forensic Medicine, Surgery and Rheumatology, having authored 159 papers that have together received 3.4k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (71 papers), Spinal Fractures and Fixation Techniques (44 papers), Scoliosis diagnosis and treatment (30 papers), Cervical and Thoracic Myelopathy (25 papers), Bone Tissue Engineering Materials (25 papers), Orthopaedic implants and arthroplasty (18 papers), Musculoskeletal pain and rehabilitation (16 papers) and Pelvic and Acetabular Injuries (13 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Surgery (1.8k citations) and Rheumatology (495 citations). Takashi Kaito has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include Takahiro Makino, Hideki Yoshikawa, Shota Takenaka, Joe Kodama, Kazuo Yonenobu, Hideki Yoshikawa, Daisuke Tateiwa, Masafumi Kashii, Hiroyuki Tsukazaki and Hiroyasu Fujiwara. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Journal of Bone and Joint Surgery.
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.