Keiko Yamamoto
- Pathology and Forensic Medicine top 0.5%
- Vitamin D Research Studies 65
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 19
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 9
- Nutrition and Dietetics top 2%
- Cell Biology top 5%
- Biotin and Related Studies 27
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- Estrogen and related hormone effects 37
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- Computational Drug Discovery Methods 15
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- Hormonal Regulation and Hypertension 12
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- Peroxisome Proliferator-Activated Receptors 12
- Co-authors
- Sachiko YamadaToshimasa ItohMasato ShimizuToshiyuki SakakiY. InabaNobuko YoshimotoHiroyuki MasunoLouise Fairall
- Journals
- Journal of Medicinal Chemistry (19 papers)Bioorganic & Medicinal Chemistry (15 papers)Bioorganic & Medicinal Chemistry Letters (7 papers)
- Partner nations
- JapanUnited StatesEgypt
In The Last Decade
Keiko Yamamoto
171 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 146
- Pathology and Forensic Medicine 1.3k
- Pharmacology 432
- Biochemistry 270
- Nutrition and Dietetics 464
- Cell Biology 452
Countries citing papers authored by Keiko Yamamoto
This map shows the geographic impact of Keiko Yamamoto'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 Keiko Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiko Yamamoto more than expected).
Fields of papers citing papers by Keiko Yamamoto
This network shows the impact of papers produced by Keiko Yamamoto. 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 Keiko Yamamoto. The network helps show where Keiko Yamamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keiko Yamamoto, 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 | 2020 | 26 | |
| 2 | 2019 | 4 | |
| 3 | 2018 | 10 | |
| 4 | 2017 | 10 | |
| 5 | 2012 | 5 | |
| 6 | 2011 | 44 | |
| 7 | 2011 | 43 | |
| 8 | 2009 | 26 | |
| 9 | 2008 | 13 | |
| 10 | 2008 | 42 | |
| 11 | 2006 | 10 | |
| 12 | 2006 | 11 | |
| 13 | 2005 | 11 | |
| 14 | 2005 | 15 | |
| 15 | 2004 | 19 | |
| 16 | 2003 | 22 | |
| 17 | 2003 | 15 | |
| 18 | 2002 | 70 | |
| 19 | 2001 | 15 | |
| 20 | 2000 | 17 |
About Keiko Yamamoto
Keiko Yamamoto is a scholar working on Pathology and Forensic Medicine, Pharmacology and Biochemistry, having authored 173 papers that have together received 4.2k indexed citations. Recurring topics across this work include Vitamin D Research Studies (65 papers), Estrogen and related hormone effects (37 papers), Biotin and Related Studies (27 papers), Pharmacogenetics and Drug Metabolism (19 papers), Computational Drug Discovery Methods (15 papers), Hormonal Regulation and Hypertension (12 papers), Peroxisome Proliferator-Activated Receptors (12 papers) and Eicosanoids and Hypertension Pharmacology (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Pharmacology (432 citations) and Biochemistry (270 citations). Keiko Yamamoto has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Sachiko Yamada, Toshimasa Itoh, Masato Shimizu, Toshiyuki Sakaki, Y. Inaba, Nobuko Yoshimoto, Hiroyuki Masuno, Louise Fairall, John W. R. Schwabe and Bálint L. Bálint. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, The Journal of Steroid Biochemistry and Molecular Biology and The Journal of Organic 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.