Daisuke Kajimura
Impact in
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- Bone health and osteoporosis research
- Endocrine and Autonomic Systems top 10%
Papers in
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- Bone Metabolism and Diseases 3
- FOXO transcription factor regulation 2
- Kruppel-like factors research 2
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- Adipose Tissue and Metabolism 4
- Co-authors
- Gérard Karsenty (9 shared papers)Eiichi Hinoi (6 shared papers)Mathieu Ferron (5 shared papers)Antonio Maurizi (2 shared papers)Jeffrey E. Pessin (2 shared papers)Takeshi Takarada (2 shared papers)Jianwen Wei (2 shared papers)Takashi Iezaki (2 shared papers)
- Journals
- Cell (2 papers)Cell Metabolism (2 papers)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)Science Immunology (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daisuke Kajimura
13 papers receiving 1.2k citations
Daisuke Kajimura's Hit Papers
Peers
Comparison fields: 5 of 89
- Orthopedics and Sports Medicine 164
- Endocrine and Autonomic Systems 69
- Physiology 218
- Immunology and Allergy 48
- Cancer Research 116
Countries citing papers authored by Daisuke Kajimura
This map shows the geographic impact of Daisuke Kajimura'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 Daisuke Kajimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Kajimura more than expected).
Fields of papers citing papers by Daisuke Kajimura
This network shows the impact of papers produced by Daisuke Kajimura. 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 Daisuke Kajimura. The network helps show where Daisuke Kajimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Kajimura, 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 | Glucose Uptake and Runx2 Synergize to Orchestrate Osteoblast Differentiation and Bone Formation Hit paper breakdown → | 2015 | 370 |
| 2 | 2013 | 188 | |
| 3 | 2009 | 177 | |
| 4 | 2011 | 134 | |
| 5 | 2005 | 121 | |
| 6 | 2020 | 63 | |
| 7 | 2009 | 49 | |
| 8 | 2006 | 44 | |
| 9 | 2003 | 16 | |
| 10 | 2014 | 14 | |
| 11 | 2015 | 11 | |
| 12 | 2014 | 3 | |
| 13 | 2011 | 1 |
About Daisuke Kajimura
Daisuke Kajimura is a scholar working on Molecular Biology, Physiology, Epidemiology, Oncology and Endocrine and Autonomic Systems, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Adipose Tissue and Metabolism (4 papers), Bone Metabolism and Diseases (3 papers), Bone health and treatments (3 papers), FOXO transcription factor regulation (2 papers), Bone and Dental Protein Studies (2 papers), Kruppel-like factors research (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Orthopedics and Sports Medicine (164 citations), Endocrine and Autonomic Systems (69 citations), Physiology (218 citations), Immunology and Allergy (48 citations) and Cancer Research (116 citations). Daisuke Kajimura has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Gérard Karsenty, Eiichi Hinoi, Mathieu Ferron, Antonio Maurizi, Jeffrey E. Pessin, Takeshi Takarada, Jianwen Wei, Takashi Iezaki, Haihong Zong and Junko Shimazu. Their work appears in journals such as Cell, Cell Metabolism, Biochemical and Biophysical Research Communications, Gene and Science Immunology.
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.