T. Kurokawa
- Molecular Biology
- Oncology top 10%
- Surgery top 10%
- Genetics top 10%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Toshio SudaE. Richard StanleyNobuyuki UdagawaT TamuraSakae TanakaN. TakahashiTakuhiko AkatsuK. Hanada
- Topics
- Bone fractures and treatments (10 papers)Cervical and Thoracic Myelopathy (7 papers)Spine and Intervertebral Disc Pathology (7 papers)
- Partner nations
- JapanFranceUnited States
In The Last Decade
T. Kurokawa
45 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 100
- Molecular Biology 688
- Oncology 421
- Surgery 394
- Genetics 237
- Pathology and Forensic Medicine 207
Countries citing papers authored by T. Kurokawa
This map shows the geographic impact of T. Kurokawa'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 T. Kurokawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kurokawa more than expected).
Fields of papers citing papers by T. Kurokawa
This network shows the impact of papers produced by T. Kurokawa. 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 T. Kurokawa. The network helps show where T. Kurokawa may publish in the future.
Co-authorship network of co-authors of T. Kurokawa
This figure shows the co-authorship network connecting the top 25 collaborators of T. Kurokawa. A scholar is included among the top collaborators of T. Kurokawa 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 T. Kurokawa. T. Kurokawa 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 | 6 | |
| 3 | 18 | |
| 4 | 8 | |
| 5 | 89 | |
| 6 | 9 | |
| 7 | 25 | |
| 8 | 16 | |
| 9 | Basic fibroblast growth factor stimulates bone resorption through mitogenic effects on immature osteoblastic cells as well as cyclooxygenase-2 induction. | 2 |
| 10 | 2 | |
| 11 | 64 | |
| 12 | 12 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 273 | |
| 16 | 469 | |
| 17 | 3 | |
| 18 | 14 | |
| 19 | [A case of idiopathic herniation of the spinal cord associated with duplicated dura mater and with an arachnoid cyst]. | 37 |
| 20 | In situ observation of adjustment of sarcomere length in skeletal muscle under sustained stretch. | 15 |
About T. Kurokawa
T. Kurokawa is a scholar working on Pathology and Forensic Medicine, Surgery and Developmental Biology, having authored 47 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone fractures and treatments (10 papers), Cervical and Thoracic Myelopathy (7 papers) and Spine and Intervertebral Disc Pathology (7 papers). The work is most often cited by research in Orthopedics and Sports Medicine (201 citations), Oncology (421 citations) and Rheumatology (202 citations). T. Kurokawa has collaborated with scholars based in Japan, France and United States. Frequent co-authors include Toshio Suda, E. Richard Stanley, Nobuyuki Udagawa, T Tamura, Sakae Tanaka, N. Takahashi, Takuhiko Akatsu, K. Hanada, Makoto Tamura and Kentaro Nakamura. Their work appears in journals such as Journal of Clinical Investigation, Endocrinology and Clinical Orthopaedics and Related 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.