Yuki Ikebuchi
Impact in
-
- Bone health and osteoporosis research
- Oncology top 10%
- Bone health and treatments
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 15
- Bone health and treatments 8
- Drug Transport and Resistance Mechanisms 6
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- Bone Metabolism and Diseases 8
- Co-authors
- Hiroshi Suzuki (14 shared papers)Masashi Honma (11 shared papers)Yoshiaki Kariya (6 shared papers)Shigeki Aoki (4 shared papers)Madoka Hayashi (4 shared papers)Masud Khan (3 shared papers)Kazuhiro Aoki (3 shared papers)Yasuhiko Tabata (2 shared papers)
- Journals
- Journal of Bone and Mineral Metabolism (2 papers)Biochemical and Biophysical Research Communications (1 paper)Journal of Bone and Mineral Research (1 paper)Pharmaceutical Research (1 paper)Hepatology Research (1 paper)
- Partner nations
- JapanAustriaUnited States
In The Last Decade
Yuki Ikebuchi
16 papers receiving 838 citations
Yuki Ikebuchi's Hit Papers
Peers
Comparison fields: 5 of 82
- Orthopedics and Sports Medicine 132
- Oncology 322
- Nephrology 51
- Cancer Research 101
- Molecular Biology 487
Countries citing papers authored by Yuki Ikebuchi
This map shows the geographic impact of Yuki Ikebuchi'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 Yuki Ikebuchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuki Ikebuchi more than expected).
Fields of papers citing papers by Yuki Ikebuchi
This network shows the impact of papers produced by Yuki Ikebuchi. 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 Yuki Ikebuchi. The network helps show where Yuki Ikebuchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuki Ikebuchi, 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 | Coupling of bone resorption and formation by RANKL reverse signalling Hit paper breakdown → | 2018 | 433 |
| 2 | 2013 | 75 | |
| 3 | 2011 | 71 | |
| 4 | 2014 | 52 | |
| 5 | 2020 | 37 | |
| 6 | 2015 | 31 | |
| 7 | 2009 | 29 | |
| 8 | 2014 | 25 | |
| 9 | 2008 | 19 | |
| 10 | 2018 | 18 | |
| 11 | 2020 | 18 | |
| 12 | 2013 | 15 | |
| 13 | 2010 | 8 | |
| 14 | 2012 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2013 | 1 |
About Yuki Ikebuchi
Yuki Ikebuchi is a scholar working on Oncology, Molecular Biology, Cancer Research, Surgery and Immunology and Allergy, having authored 16 papers that have together received 843 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (8 papers), Bone health and treatments (8 papers), Drug Transport and Resistance Mechanisms (6 papers), NF-κB Signaling Pathways (5 papers), Cell Adhesion Molecules Research (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Liver Diseases and Immunity (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Orthopedics and Sports Medicine (132 citations), Oncology (322 citations), Nephrology (51 citations), Cancer Research (101 citations) and Molecular Biology (487 citations). Yuki Ikebuchi has collaborated with scholars based in Japan, Austria and United States. Frequent co-authors include Hiroshi Suzuki, Masashi Honma, Yoshiaki Kariya, Shigeki Aoki, Madoka Hayashi, Masud Khan, Kazuhiro Aoki, Yasuhiko Tabata, Josef Penninger and Nobuyuki Udagawa. Their work appears in journals such as Journal of Bone and Mineral Metabolism, Biochemical and Biophysical Research Communications, Journal of Bone and Mineral Research, Pharmaceutical Research and Hepatology 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.