Ken Ninomiya

83 papers receiving 2.4k citations

Hit Papers

DC-STAMP is essential for cell–cell fusion in osteoclasts and foreign body giant cells 2005 · 717 citations
7172005202620122019200400600

Peers

Ken Ninomiya
Comparison fields: 5 of 124
  • Pathology and Forensic Medicine 508
  • Orthopedics and Sports Medicine 200
  • Oncology 628
  • Rheumatology 342
  • Structural Biology 31
Replace Puviindran Nadesan with:
Puviindran Nadesan Canada
Dara L. Kraitchman United States
H. Yamazaki Japan
Yuki Taniguchi Japan
Takashi Yanagawa Japan
Boudewijn van der Sanden France
Andreas Gäumann Germany
Martin Béhé Germany
Robert L. Satcher United States
Vineeth Rajkumar United Kingdom
Ken Ninomiya relative to Puviindran Nadesan Canada Puviindran Nadesan's profile →
Citations per field
00.5×6.2×
Puviindran Nadesan · 1×
Citations per year

Countries citing papers authored by Ken Ninomiya

Since Specialization
Citations

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

Fields of papers citing papers by Ken Ninomiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ken Ninomiya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ken Ninomiya Line = papers co-authored together Ken Ninomiya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20223
3 20220
4 20213
5 20213
6 20206
7 201911
8 201810
9 20185
10 20185
11 20181
12 2010161
13 200979
14 200919
15 200973
16 200867
17 200847
18 200832
19 200737
20
DC-STAMP is essential for cell–cell fusion in osteoclasts and foreign body giant cells
Hit paper breakdown →
2005717

About Ken Ninomiya

Ken Ninomiya is a scholar working on Structural Biology, Surfaces, Coatings and Films, Pathology and Forensic Medicine, Radiation and Surgery, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (25 papers), Cervical and Thoracic Myelopathy (22 papers), Spinal Fractures and Fixation Techniques (18 papers), Electron and X-Ray Spectroscopy Techniques (14 papers), Plasma Diagnostics and Applications (11 papers), X-ray Spectroscopy and Fluorescence Analysis (9 papers), High voltage insulation and dielectric phenomena (8 papers) and Thermal Analysis in Power Transmission (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (508 citations), Orthopedics and Sports Medicine (200 citations), Oncology (628 citations), Rheumatology (342 citations) and Structural Biology (31 citations). Ken Ninomiya has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Mitsuru Yagi, Takeshi Miyamoto, Toshio Suda, Yoshiaki Toyama, T. Suzuki, Nobuyuki Fujita, Kana Miyamoto, Kozo Morita, Keizô Suzuki and Naobumi Hosogane. Their work appears in journals such as Japanese Journal of Applied Physics, Biochemical and Biophysical Research Communications, Asian Spine Journal, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Surface Science.

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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