Yoshiaki Azuma
- Molecular Biology top 1%
- Oncology top 1%
- Orthopedics and Sports Medicine top 0.5%
- Genetics top 2%
- Biomedical Engineering top 5%
- Co-authors
- Yoshifumi HaradaMary DassoHiroshi KawaguchiKozo NakamuraAkira KudōShinsuke OhbaTomohiro OhtaYasuo Terauchi
- Topics
- Bone health and treatments (26 papers)Ubiquitin and proteasome pathways (23 papers)Bone Metabolism and Diseases (21 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yoshiaki Azuma
108 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Molecular Biology 4.9k
- Oncology 2.1k
- Orthopedics and Sports Medicine 1.6k
- Genetics 810
- Biomedical Engineering 729
Countries citing papers authored by Yoshiaki Azuma
This map shows the geographic impact of Yoshiaki Azuma'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 Yoshiaki Azuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoshiaki Azuma more than expected).
Fields of papers citing papers by Yoshiaki Azuma
This network shows the impact of papers produced by Yoshiaki Azuma. 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 Yoshiaki Azuma. The network helps show where Yoshiaki Azuma may publish in the future.
Co-authorship network of co-authors of Yoshiaki Azuma
This figure shows the co-authorship network connecting the top 25 collaborators of Yoshiaki Azuma. A scholar is included among the top collaborators of Yoshiaki Azuma 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 Yoshiaki Azuma. Yoshiaki Azuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 45 | |
| 3 | 11 | |
| 4 | 23 | |
| 5 | 53 | |
| 6 | 15 | |
| 7 | Receding horizon Nash game approach for distributed nonlinear control | 3 |
| 8 | 130 | |
| 9 | PPAR γ insufficiency enhances osteogenesis through osteoblast formation from bone marrow progenitorsbreakdown → | 631 |
| 10 | PPAR γ insufficiency enhances osteogenesis through osteoblast formation from bone marrow progenitorsbreakdown → | 677 |
| 11 | 228 | |
| 12 | 63 | |
| 13 | 218 | |
| 14 | Tumor Necrosis Factor-α Induces Differentiation of and Bone Resorption by Osteoclastsbreakdown → | 616 |
| 15 | 42 | |
| 16 | 22 | |
| 17 | 5 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | 13 |
About Yoshiaki Azuma
Yoshiaki Azuma is a scholar working on Orthopedics and Sports Medicine, Oncology and Cell Biology, having authored 108 papers that have together received 7.8k indexed citations. Recurring topics across this work include Bone health and treatments (26 papers), Ubiquitin and proteasome pathways (23 papers) and Bone Metabolism and Diseases (21 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.6k citations), Oncology (2.1k citations) and Molecular Biology (4.9k citations). Yoshiaki Azuma has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yoshifumi Harada, Mary Dasso, Hiroshi Kawaguchi, Kozo Nakamura, Akira Kudō, Shinsuke Ohba, Tomohiro Ohta, Yasuo Terauchi, Takashi Kadowaki and Ung‐il Chung. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.
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.