Ken Nagahama

585 total citations
21 papers, 409 citations indexed

About

Ken Nagahama is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Ken Nagahama has authored 21 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Surgery, 16 papers in Pathology and Forensic Medicine and 7 papers in Biomedical Engineering. Recurrent topics in Ken Nagahama's work include Spine and Intervertebral Disc Pathology (16 papers), Spinal Fractures and Fixation Techniques (16 papers) and Medical Imaging and Analysis (7 papers). Ken Nagahama is often cited by papers focused on Spine and Intervertebral Disc Pathology (16 papers), Spinal Fractures and Fixation Techniques (16 papers) and Medical Imaging and Analysis (7 papers). Ken Nagahama collaborates with scholars based in Japan. Ken Nagahama's co-authors include Manabu Ito, Akio Minami, Masahiko Takahata, Hideki Sudo, Norimasa Iwasaki, Tomoyuki Hashimoto, Daisuke Togawa, Masahiro Kanayama, Kuniyoshi Abumi and Yuichiro Abe and has published in prestigious journals such as Spine, Journal of Shoulder and Elbow Surgery and European Spine Journal.

In The Last Decade

Ken Nagahama

19 papers receiving 400 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Nagahama Japan 11 351 259 70 55 39 21 409
Solène Prost France 12 360 1.0× 240 0.9× 30 0.4× 39 0.7× 42 1.1× 46 411
Lukas Weiser Germany 13 480 1.4× 257 1.0× 87 1.2× 76 1.4× 10 0.3× 48 557
Ron Jensen United States 8 486 1.4× 406 1.6× 60 0.9× 22 0.4× 10 0.3× 8 525
In-Soo Oh South Korea 11 376 1.1× 310 1.2× 26 0.4× 44 0.8× 10 0.3× 33 449
Peter M. Formby United States 9 306 0.9× 109 0.4× 97 1.4× 51 0.9× 5 0.1× 24 376
W. P. J. Fontijne Netherlands 8 268 0.8× 144 0.6× 78 1.1× 32 0.6× 13 0.3× 10 332
Hajime Murai Japan 9 474 1.4× 428 1.7× 56 0.8× 81 1.5× 8 0.2× 15 569
Jae Kwan Lim South Korea 8 229 0.7× 164 0.6× 74 1.1× 69 1.3× 6 0.2× 8 310
M. Arabmotlagh Germany 10 291 0.8× 99 0.4× 44 0.6× 30 0.5× 40 1.0× 26 312
Karen Talmadge United States 4 1.0k 2.9× 894 3.5× 54 0.8× 46 0.8× 11 0.3× 8 1.1k

Countries citing papers authored by Ken Nagahama

Since Specialization
Citations

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

Fields of papers citing papers by Ken Nagahama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Nagahama

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Nagahama. A scholar is included among the top collaborators of Ken Nagahama 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 Ken Nagahama. Ken Nagahama 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
1.
Nagahama, Ken, Katsuhisa Yamada, Yuichiro Abe, et al.. (2025). Artificial intelligence-driven 3D MRI of lumbosacral nerve root anomalies: accuracy, incidence, and clinical utility. Neuroradiology. 67(4). 1095–1101.
2.
Yamada, Katsuhisa, Yoko Ishikawa, Akito Yabu, et al.. (2024). Deep learning-based detection of lumbar spinal canal stenosis using convolutional neural networks. The Spine Journal. 24(11). 2086–2101. 5 indexed citations
3.
Nagahama, Ken, Katsuhisa Yamada, Yuichiro Abe, et al.. (2024). Duckbill Release Technique for the Outside-in Method in Full-Endoscopic Spine Surgery via Transforaminal Approach: A Technical Note. World Neurosurgery. 193. 149–154. 1 indexed citations
4.
Ono, Koichiro, et al.. (2023). Percutaneous Endoscopic Transforaminal Lumbar Interbody Fusion (PETLIF): Current Techniques, Clinical Outcomes, and Narrative Review. Journal of Clinical Medicine. 12(16). 5391–5391. 2 indexed citations
5.
6.
Yamada, Katsuhisa, Masahiko Takahata, Ken Nagahama, et al.. (2022). Posterolateral full-endoscopic debridement and irrigation is effective in treating thoraco-lumbar pyogenic spondylodiscitis, except in cases with large abscess cavities. European Spine Journal. 32(3). 859–866. 12 indexed citations
7.
Yamada, Katsuhisa, Masahiko Takahata, Manabu Ito, et al.. (2021). Risk factors of multidrug-resistant pyogenic spondylitis in thoraco-lumbar spine: A retrospective study of 122 cases. Journal of Orthopaedic Science. 27(1). 95–100. 7 indexed citations
8.
Yamada, Katsuhisa, et al.. (2021). Unintentional Fusion in Preserved Facet Joints without Bone Grafting after Percutaneous Endoscopic Transforaminal Lumbar Interbody Fusion. Spine Surgery and Related Research. 5(6). 390–396. 4 indexed citations
9.
Yamada, Katsuhisa, et al.. (2021). Morphological analysis of Kambin's triangle using 3D CT/MRI fusion imaging of lumbar nerve root created automatically with artificial intelligence. European Spine Journal. 30(8). 2191–2199. 22 indexed citations
10.
11.
Takahata, Masahiko, Kuniyoshi Abumi, Hideki Sudo, Ken Nagahama, & Norimasa Iwasaki. (2015). Cervical myelopathy due to atraumatic odontoid fracture in patients with rheumatoid arthritis: A case series. Modern Rheumatology. 27(5). 901–904. 3 indexed citations
12.
Sudo, Hideki, Manabu Ito, Yuichiro Abe, et al.. (2014). Surgical Treatment of Lenke 1 Thoracic Adolescent Idiopathic Scoliosis With Maintenance of Kyphosis Using the Simultaneous Double-Rod Rotation Technique. Spine. 39(14). 1163–1169. 34 indexed citations
13.
Ito, Manabu, Naoya Hattori, Keiichi Magota, et al.. (2014). 18F-FDG-PET/CT better localizes active spinal infection than MRI for successful minimally invasive surgery. Acta Radiologica. 56(7). 829–836. 31 indexed citations
14.
Nagahama, Ken, Hideki Sudo, Kuniyoshi Abumi, et al.. (2014). Anomalous vertebral and posterior communicating arteries as a risk factor in instrumentation of the posterior cervical spine. The Bone & Joint Journal. 96-B(4). 535–540. 8 indexed citations
15.
16.
Kotani, Yoshihisa, Kuniyoshi Abumi, Manabu Ito, et al.. (2012). Impact of deep extensor muscle-preserving approach on clinical outcome of laminoplasty for cervical spondylotic myelopathy: comparative cohort study. European Spine Journal. 21(8). 1536–1544. 25 indexed citations
17.
Abumi, Kuniyoshi, Manabu Ito, Hideki Sudo, et al.. (2012). A retrospective study of congenital osseous anomalies at the craniocervical junction treated by occipitocervical plate-rod systems. European Spine Journal. 21(8). 1580–1589. 27 indexed citations
18.
Ito, Manabu & Ken Nagahama. (2012). Laminoplasty for Cervical Myelopathy. Global Spine Journal. 2(3). 187–193. 21 indexed citations
19.
Nagahama, Ken, et al.. (2011). Midterm outcomes after humeral head replacement with rotator cuff repair in patients with syringomyelia shoulder neuroarthropathy: a report on three cases. Journal of Shoulder and Elbow Surgery. 20(8). e8–e15. 10 indexed citations
20.
Togawa, Daisuke, Masahiro Kanayama, Keiichi Shigenobu, et al.. (2009). Glisson Traction for Cervical Radiculopathy Clinical Results of 77 Consecutive Patients. 20(3). 666–672.

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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