Keiji Yoshida
- Pharmacology top 10%
- Orthopedics and Sports Medicine top 10%
- Bone health and osteoporosis research 3
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- Bone health and treatments 3
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- Estrogen and related hormone effects 3
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- Natural product bioactivities and synthesis 4
- Bone Metabolism and Diseases 3
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- Hormonal and reproductive studies 3
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- Radiopharmaceutical Chemistry and Applications 2
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- Prenatal Screening and Diagnostics 2
- Co-authors
- Kohei NotoyaShigehisa TaketomiRyoichi TsukudaTakayuki MaruyamaKosei ItoTeruaki KatayamaYukihiko SugimotoTadao Tsuboyama
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Bone and Mineral Research (1 paper)Bone (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Keiji Yoshida
26 papers receiving 554 citations
Peers
Comparison fields: 5 of 81
- Pharmacology 143
- Orthopedics and Sports Medicine 73
- Oncology 148
- Genetics 127
- Rheumatology 62
Countries citing papers authored by Keiji Yoshida
This map shows the geographic impact of Keiji Yoshida'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 Keiji Yoshida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiji Yoshida more than expected).
Fields of papers citing papers by Keiji Yoshida
This network shows the impact of papers produced by Keiji Yoshida. 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 Keiji Yoshida. The network helps show where Keiji Yoshida may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keiji Yoshida, 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 | 2002 | 273 | |
| 2 | 1996 | 9 | |
| 3 | 1994 | 19 | |
| 4 | 1994 | 45 | |
| 5 | 1993 | 27 | |
| 6 | 1992 | 22 | |
| 7 | The kidney protecting effect of trandolapril in normotensive and hypertensive diabetic rats | 1992 | 2 |
| 8 | 1992 | 22 | |
| 9 | 1989 | 45 | |
| 10 | 1985 | 25 | |
| 11 | 1985 | 5 | |
| 12 | 1984 | 11 | |
| 13 | 1984 | 1 | |
| 14 | 1984 | 6 | |
| 15 | 1982 | 3 | |
| 16 | 1981 | 8 | |
| 17 | 1980 | 2 | |
| 18 | 1965 | 5 | |
| 19 | 1964 | 4 | |
| 20 | 1953 | 6 |
About Keiji Yoshida
Keiji Yoshida is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Orthopedics and Sports Medicine, having authored 26 papers that have together received 570 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Bone health and treatments (3 papers), Hormonal and reproductive studies (3 papers), Estrogen and related hormone effects (3 papers), Bone health and osteoporosis research (3 papers), Bone Metabolism and Diseases (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Pharmacology (143 citations), Orthopedics and Sports Medicine (73 citations) and Oncology (148 citations). Keiji Yoshida has collaborated with scholars based in Japan and United States. Frequent co-authors include Kohei Notoya, Shigehisa Taketomi, Ryoichi Tsukuda, Takayuki Maruyama, Kosei Ito, Teruaki Katayama, Yukihiko Sugimoto, Tadao Tsuboyama, Mutsumi Matsushita and Shuh Narumiya. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Bone and Mineral Research and Bone.
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.