Kanami Itoh
Impact in
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- Bone health and osteoporosis research
- Oncology top 2%
- Bone health and treatments
- Cytokine Signaling Pathways and Interactions
Papers in
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- Bone Metabolism and Diseases 12
- TGF-β signaling in diseases 2
- Connexins and lens biology 1
- Oncology 11
- Bone health and treatments 11
- Co-authors
- Nobuyuki Udagawa (11 shared papers)Matthew T. Gillespie (5 shared papers)T. John Martin (3 shared papers)Naoyuki Takahashi (6 shared papers)Kenichiro MATSUZAKI (2 shared papers)Naoyuki Kamatani (1 shared paper)Kazuhiko Inoue (1 shared paper)Shigeru Kotake (1 shared paper)
- Journals
- Endocrinology (3 papers)The Journal of Immunology (2 papers)Journal of Bone and Mineral Research (2 papers)Bone (2 papers)The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology (1 paper)
- Partner nations
- JapanAustraliaUnited States
In The Last Decade
Kanami Itoh
13 papers receiving 3.2k citations
Kanami Itoh's Hit Papers
Peers
Comparison fields: 5 of 105
- Orthopedics and Sports Medicine 462
- Oncology 1.3k
- Rheumatology 740
- Immunology 950
- Periodontics 187
Countries citing papers authored by Kanami Itoh
This map shows the geographic impact of Kanami Itoh'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 Kanami Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kanami Itoh more than expected).
Fields of papers citing papers by Kanami Itoh
This network shows the impact of papers produced by Kanami Itoh. 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 Kanami Itoh. The network helps show where Kanami Itoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Kanami Itoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | IL-17 in synovial fluids from patients with rheumatoid arthritis is a potent stimulator of osteoclastogenesis Hit paper breakdown → | 1999 | 1386 |
| 2 | 1999 | 358 | |
| 3 | 2000 | 329 | |
| 4 | 2002 | 246 | |
| 5 | 2001 | 217 | |
| 6 | 2001 | 211 | |
| 7 | 2003 | 163 | |
| 8 | 2004 | 142 | |
| 9 | 2000 | 74 | |
| 10 | 2002 | 52 | |
| 11 | 2003 | 26 | |
| 12 | 2001 | 24 | |
| 13 | 2003 | 16 |
About Kanami Itoh
Kanami Itoh is a scholar working on Molecular Biology, Oncology, Cancer Research, Pharmacology and Rheumatology, having authored 13 papers that have together received 3.2k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (12 papers), Bone health and treatments (11 papers), NF-κB Signaling Pathways (3 papers), TGF-β signaling in diseases (2 papers), Connexins and lens biology (1 paper), Pharmacological Effects of Medicinal Plants (1 paper), Bone health and osteoporosis research (1 paper) and Neonatal Health and Biochemistry (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (462 citations), Oncology (1.3k citations), Rheumatology (740 citations), Immunology (950 citations) and Periodontics (187 citations). Kanami Itoh has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Nobuyuki Udagawa, Matthew T. Gillespie, T. John Martin, Naoyuki Takahashi, Kenichiro MATSUZAKI, Naoyuki Kamatani, Kazuhiko Inoue, Shigeru Kotake, Shigeru Ishiyama and Seiji Saito. Their work appears in journals such as Endocrinology, The Journal of Immunology, Journal of Bone and Mineral Research, Bone and The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology.
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.