Yoichi Ezura
- Orthopedics and Sports Medicine top 0.5%
- Bone health and osteoporosis research 24
- Tendon Structure and Treatment 7
- Rheumatology top 2%
- Bone and Dental Protein Studies 13
- Equine top 2%
- Cell Biology top 2%
- Cancer Research top 5%
-
- Bone Metabolism and Diseases 48
- TGF-β signaling in diseases 7
-
- Bone health and treatments 27
- Cytokine Signaling Pathways and Interactions 6
-
- Connective tissue disorders research 11
- Co-authors
- Masaki NodaDavid E. BirkTadayoshi HayataKazuhisa NakashimaShukti ChakravartiInna ChervonevaÅke OldbergLouis J. Soslowsky
- Journals
- Journal of Cellular Physiology (16 papers)Journal of Cellular Biochemistry (14 papers)Journal of Biological Chemistry (12 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yoichi Ezura
116 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 126
- Orthopedics and Sports Medicine 1.0k
- Rheumatology 535
- Equine 55
- Cell Biology 517
- Cancer Research 435
Countries citing papers authored by Yoichi Ezura
This map shows the geographic impact of Yoichi Ezura'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 Yoichi Ezura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Ezura more than expected).
Fields of papers citing papers by Yoichi Ezura
This network shows the impact of papers produced by Yoichi Ezura. 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 Yoichi Ezura. The network helps show where Yoichi Ezura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoichi Ezura, 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 | 2024 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 2 | |
| 5 | 2019 | 40 | |
| 6 | 2015 | 25 | |
| 7 | 2014 | 16 | |
| 8 | [Parathyroid hormone : its anabolic action on bone]. | 2013 | 1 |
| 9 | 2012 | 53 | |
| 10 | 2012 | 9 | |
| 11 | 2011 | 8 | |
| 12 | 2009 | 75 | |
| 13 | 2007 | 26 | |
| 14 | 2007 | 21 | |
| 15 | 2007 | 6 | |
| 16 | 2007 | 41 | |
| 17 | [Genetic analysis of osteoporosis susceptibility: future perspectives on genome wide analysis]. | 2005 | 1 |
| 18 | 2002 | 186 | |
| 19 | 2002 | 36 | |
| 20 | 2001 | 13 |
About Yoichi Ezura
Yoichi Ezura is a scholar working on Orthopedics and Sports Medicine, Rheumatology, Oncology, Molecular Biology and Genetics, having authored 117 papers that have together received 3.8k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (48 papers), Bone health and treatments (27 papers), Bone health and osteoporosis research (24 papers), Bone and Dental Protein Studies (13 papers), Connective tissue disorders research (11 papers), TGF-β signaling in diseases (7 papers), Tendon Structure and Treatment (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.0k citations), Rheumatology (535 citations), Equine (55 citations), Cell Biology (517 citations) and Cancer Research (435 citations). Yoichi Ezura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masaki Noda, David E. Birk, Tadayoshi Hayata, Kazuhisa Nakashima, Shukti Chakravarti, Inna Chervoneva, Åke Oldberg, Louis J. Soslowsky, Takeshi Muneta and Mitsuru Emi. Their work appears in journals such as Journal of Cellular Physiology, Journal of Cellular Biochemistry, Journal of Biological Chemistry, Bone 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.