Koshiro Kamiya

596 total citations
22 papers, 414 citations indexed

About

Koshiro Kamiya is a scholar working on Surgery, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Koshiro Kamiya has authored 22 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 13 papers in Pathology and Forensic Medicine and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Koshiro Kamiya's work include Cervical and Thoracic Myelopathy (12 papers), Spine and Intervertebral Disc Pathology (9 papers) and Spinal Fractures and Fixation Techniques (9 papers). Koshiro Kamiya is often cited by papers focused on Cervical and Thoracic Myelopathy (12 papers), Spine and Intervertebral Disc Pathology (9 papers) and Spinal Fractures and Fixation Techniques (9 papers). Koshiro Kamiya collaborates with scholars based in Japan and United States. Koshiro Kamiya's co-authors include Takeo Furuya, Masashi Yamazaki, Masao Koda, Kazuhisa Takahashi, Taigo Inada, Satoshi Maki, Mitsutoshi Ota, Chikato Mannoji, Akihiko Okawa and Masaaki Aramomi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Spine and Journal of the Neurological Sciences.

In The Last Decade

Koshiro Kamiya

22 papers receiving 407 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koshiro Kamiya Japan 13 307 301 48 44 40 22 414
Taigo Inada Japan 13 310 1.0× 299 1.0× 45 0.9× 38 0.9× 39 1.0× 20 419
Eun Su Moon South Korea 11 222 0.7× 414 1.4× 33 0.7× 18 0.4× 25 0.6× 19 501
F. Weyns Belgium 12 84 0.3× 211 0.7× 82 1.7× 48 1.1× 35 0.9× 32 328
Pietro Scarone Switzerland 13 246 0.8× 379 1.3× 35 0.7× 19 0.4× 20 0.5× 35 504
Marc Hohenhaus Germany 10 105 0.3× 138 0.5× 100 2.1× 34 0.8× 21 0.5× 46 343
Mevci̇ Özdemi̇r Türkiye 13 167 0.5× 152 0.5× 23 0.5× 48 1.1× 15 0.4× 24 320
Gang-Un Kim South Korea 12 287 0.9× 333 1.1× 9 0.2× 19 0.4× 15 0.4× 26 456
T. Buisseret Belgium 8 179 0.6× 179 0.6× 24 0.5× 12 0.3× 14 0.3× 14 381
Salih Gülşen Türkiye 13 109 0.4× 173 0.6× 25 0.5× 61 1.4× 27 0.7× 50 465
Raffaelino Roperto Italy 14 352 1.1× 459 1.5× 20 0.4× 30 0.7× 52 1.3× 39 677

Countries citing papers authored by Koshiro Kamiya

Since Specialization
Citations

This map shows the geographic impact of Koshiro Kamiya'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 Koshiro Kamiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koshiro Kamiya more than expected).

Fields of papers citing papers by Koshiro Kamiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koshiro Kamiya. 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 Koshiro Kamiya. The network helps show where Koshiro Kamiya may publish in the future.

Co-authorship network of co-authors of Koshiro Kamiya

This figure shows the co-authorship network connecting the top 25 collaborators of Koshiro Kamiya. A scholar is included among the top collaborators of Koshiro Kamiya 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 Koshiro Kamiya. Koshiro Kamiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Maki, Satoshi, Masao Koda, Taigo Inada, et al.. (2017). Diffusion tensor imaging can predict surgical outcomes of patients with cervical compression myelopathy. European Spine Journal. 26(9). 2459–2466. 33 indexed citations
3.
Maki, Satoshi, Masao Koda, Junya Saito, et al.. (2016). Tract-Specific Diffusion Tensor Imaging Reveals Laterality of Neurological Symptoms in Patients with Cervical Compression Myelopathy. World Neurosurgery. 96. 184–190. 12 indexed citations
4.
Saito, Junya, Satoshi Maki, Koshiro Kamiya, et al.. (2016). Outcome of posterior decompression with instrumented fusion surgery for K-line (−) cervical ossification of the longitudinal ligament. Journal of Clinical Neuroscience. 32. 57–60. 18 indexed citations
6.
Maki, Satoshi, Masao Koda, Yasushi Iijima, et al.. (2016). Medially-shifted rather than high-riding vertebral arteries preclude safe pedicle screw insertion. Journal of Clinical Neuroscience. 29. 169–172. 15 indexed citations
7.
Koda, Masao, Takeo Furuya, Akihiko Okawa, et al.. (2016). Mid- to long-term outcomes of posterior decompression with instrumented fusion for thoracic ossification of the posterior longitudinal ligament. Journal of Clinical Neuroscience. 27. 87–90. 12 indexed citations
8.
Ota, Mitsutoshi, Takeo Furuya, Satoshi Maki, et al.. (2016). Addition of instrumented fusion after posterior decompression surgery suppresses thickening of ossification of the posterior longitudinal ligament of the cervical spine. Journal of Clinical Neuroscience. 34. 162–165. 23 indexed citations
9.
Inada, Taigo, Takeo Furuya, Koshiro Kamiya, et al.. (2016). Postoperative Increase in Occiput–C2 Angle Negatively Impacts Subaxial Lordosis after Occipito–Upper Cervical Posterior Fusion Surgery. Asian Spine Journal. 10(4). 744–744. 11 indexed citations
10.
Koda, Masao, Takeo Furuya, Akihiko Okawa, et al.. (2015). Bone union and remodelling of the non-ossified segment in thoracic ossification of the posterior longitudinal ligament after posterior decompression and fusion surgery. European Spine Journal. 24(11). 2555–2559. 12 indexed citations
12.
Kato, Kei, Masao Koda, Hiroshi Takahashi, et al.. (2015). Granulocyte colony-stimulating factor attenuates spinal cord injury-induced mechanical allodynia in adult rats. Journal of the Neurological Sciences. 355(1-2). 79–83. 14 indexed citations
13.
14.
Koda, Masao, Takeo Furuya, Taigo Inada, et al.. (2015). Resolution of low back symptoms after corrective surgery for dropped-head syndrome: a report of two cases. BMC Research Notes. 8(1). 545–545. 13 indexed citations
15.
Maki, Satoshi, Takeo Furuya, Taigo Inada, et al.. (2015). Elderly onset intramedullary epidermoid cyst in the conus medullaris: a case report. Journal of Medical Case Reports. 9(1). 7–7. 6 indexed citations
16.
Koda, Masao, Koshiro Kamiya, Mari Dezawa, et al.. (2014). Transplantation of human bone marrow stromal cell-derived neuroregenrative cells promotes functional recovery after spinal cord injury in mice. Acta Neurobiologiae Experimentalis. 74(4). 479–488. 12 indexed citations
17.
Kamiya, Koshiro, Masao Koda, Takeo Furuya, et al.. (2014). Neuroprotective therapy with granulocyte colony-stimulating factor in acute spinal cord injury: a comparison with high-dose methylprednisolone as a historical control. European Spine Journal. 24(5). 963–967. 49 indexed citations
18.
19.
Kotani, Toshiaki, Tsutomu Akazawa, Tetsuharu Nemoto, et al.. (2012). Virtual Endoscopic Imaging of the Spine. Spine. 37(12). E752–E756. 3 indexed citations
20.
Kato, Kei, Masashi Yamazaki, Akihiko Okawa, et al.. (2012). Intravenous administration of granulocyte colony-stimulating factor for treating neuropathic pain associated with compression myelopathy: a phase I and IIa clinical trial. European Spine Journal. 22(1). 197–204. 16 indexed citations

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.

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