K. Kushida

4.9k citations
118 papers · 3.9k · h-index 36

Impact in

Papers in

K. Kushida

117 papers receiving 3.8k citations

Peers

K. Kushida
Comparison fields: 5 of 118
  • Orthopedics and Sports Medicine 2.2k
  • Nephrology 370
  • Clinical Biochemistry 329
  • Oncology 1.1k
  • Rheumatology 502
Replace Ippei Kanazawa with:
Ippei Kanazawa Japan
P.D. Delmas France
Ranuccio Nuti Italy
Tetsuo Inoue Japan
Sol Epstein United States
Jung‐Min Koh South Korea
Gert Hein Germany
Luigi Gennari Italy
W. Woloszczuk Austria
Joan McGowan United States
K. Kushida relative to Ippei Kanazawa Japan Ippei Kanazawa's profile →
Citations per field
00.5×1.5×2.2×
Ippei Kanazawa · 1×
Citations per year

Countries citing papers authored by K. Kushida

Since Specialization
Citations

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

Fields of papers citing papers by K. Kushida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside K. Kushida, 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 K. Kushida Line = papers co-authored together K. Kushida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001405
2 1999243
3 1998181
4 1994111
5 2005107
6 1991107
7 199995
8 199594
9 199988
10 199181
11
Reduced susceptibility to collagen-induced arthritis in mice deficient in IFN-gamma receptor.
199876
12 199475
13 199871
14 199367
15 199665
16 199763
17 199562
18 200662
19 199458
20 200556

About K. Kushida

K. Kushida is a scholar working on Orthopedics and Sports Medicine, Molecular Biology, Oncology, Surgery and Endocrinology, Diabetes and Metabolism, having authored 118 papers that have together received 3.9k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (64 papers), Bone health and treatments (26 papers), Bone Metabolism and Diseases (19 papers), Bone and Joint Diseases (16 papers), Advanced Glycation End Products research (11 papers), Hip and Femur Fractures (10 papers), Vitamin D Research Studies (8 papers) and Osteoarthritis Treatment and Mechanisms (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (2.2k citations), Nephrology (370 citations), Clinical Biochemistry (329 citations), Oncology (1.1k citations) and Rheumatology (502 citations). K. Kushida has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include T. Inoue, Kaoru Yamazaki, Tetsuo Inoue, Tsuyoshi Ohishi, Masaaki Takahashi, K. Kawana, Masao Fukunaga, Akihiro Ohmura, Masataka Shiraki and Hajime Orimo. Their work appears in journals such as Journal of Bone and Mineral Metabolism, Calcified Tissue International, Osteoporosis International, Endocrine Research and Journal of Bone and Mineral 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.

Explore authors with similar magnitude of impact