A. Utani
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Dermatology top 10%
- Cancer and Skin Lesions
Papers in
-
- Cancer and Skin Lesions 3
- Skin Diseases and Diabetes 2
-
- Pain Management and Treatment 3
- Co-authors
- Rinshi S. Kasai (1 shared paper)Tadao Tsuboyama (1 shared paper)Hideo Okumura (1 shared paper)Tomonori Yonezu (1 shared paper)Atsuko Kohno (1 shared paper)Keiichi Higuchi (1 shared paper)Mutsumi Matsushita (1 shared paper)T. Yamamuro (1 shared paper)
- Journals
- Clinical and Experimental Dermatology (8 papers)British Journal of Dermatology (7 papers)Acta Dermato Venereologica (1 paper)PubMed (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
A. Utani
16 papers receiving 370 citations
Peers
Comparison fields: 5 of 80
- Aging 23
- Dermatology 71
- Orthopedics and Sports Medicine 62
- Rheumatology 50
- Behavioral Neuroscience 10
Countries citing papers authored by A. Utani
This map shows the geographic impact of A. Utani'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 A. Utani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Utani more than expected).
Fields of papers citing papers by A. Utani
This network shows the impact of papers produced by A. Utani. 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 A. Utani. The network helps show where A. Utani may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Utani, 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 | Age-related changes in bone mass in the senescence-accelerated mouse (SAM). SAM-R/3 and SAM-P/6 as new murine models for senile osteoporosis. | 1986 | 214 |
| 2 | 2003 | 38 | |
| 3 | 2005 | 25 | |
| 4 | 2006 | 18 | |
| 5 | 2009 | 15 | |
| 6 | 2017 | 15 | |
| 7 | 2007 | 15 | |
| 8 | 2015 | 13 | |
| 9 | 2007 | 8 | |
| 10 | 2007 | 7 | |
| 11 | 2009 | 5 | |
| 12 | 2008 | 3 | |
| 13 | 2021 | 2 | |
| 14 | 2009 | 2 | |
| 15 | 2006 | 2 | |
| 16 | 2008 | 1 | |
| 17 | 2010 | 0 |
About A. Utani
A. Utani is a scholar working on Dermatology, Anesthesiology and Pain Medicine, Rheumatology, Physiology and Cell Biology, having authored 17 papers that have together received 383 indexed citations. Recurring topics across this work include Myofascial pain diagnosis and treatment (3 papers), Cancer and Skin Lesions (3 papers), Pain Mechanisms and Treatments (3 papers), Pain Management and Treatment (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Genetic and rare skin diseases. (2 papers), Inflammatory Myopathies and Dermatomyositis (2 papers) and Skin Diseases and Diabetes (2 papers). The work is most often cited by research in Aging (23 citations), Dermatology (71 citations), Orthopedics and Sports Medicine (62 citations), Rheumatology (50 citations) and Behavioral Neuroscience (10 citations). A. Utani has collaborated with scholars based in Japan and United States. Frequent co-authors include Rinshi S. Kasai, Tadao Tsuboyama, Hideo Okumura, Tomonori Yonezu, Atsuko Kohno, Keiichi Higuchi, Mutsumi Matsushita, T. Yamamuro, Yoshiki Miyachi and Hiroshi Shinkai. Their work appears in journals such as Clinical and Experimental Dermatology, British Journal of Dermatology, Acta Dermato Venereologica and PubMed.
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.