Shigeru Yamano
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 16
- Biochemistry top 2%
- Eicosanoids and Hypertension Pharmacology 7
- Toxicology top 5%
- Molecular Biology top 10%
- Peroxisome Proliferator-Activated Receptors 6
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- Drug Transport and Resistance Mechanisms 10
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- Aldose Reductase and Taurine 9
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- Cerebrovascular and Carotid Artery Diseases 9
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- Blood Pressure and Hypertension Studies 6
- Cardiovascular Health and Disease Prevention 6
- Co-authors
- Frank J. GonzalezJun TatsunoKimihiko MatsusueTakashi KusakabeToshimitsu SuzukiTakahiro NoguchiYoshito KumagaiKeiko Taguchi
- Cited by
- PharmacologyBiochemistryToxicology
- Journals
- Nucleic Acids Research (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Biochemistry (2 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shigeru Yamano
66 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 109
- Pharmacology 595
- Biochemistry 290
- Toxicology 65
- Endocrinology, Diabetes and Metabolism 185
- Molecular Biology 762
Countries citing papers authored by Shigeru Yamano
This map shows the geographic impact of Shigeru Yamano'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 Shigeru Yamano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shigeru Yamano more than expected).
Fields of papers citing papers by Shigeru Yamano
This network shows the impact of papers produced by Shigeru Yamano. 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 Shigeru Yamano. The network helps show where Shigeru Yamano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shigeru Yamano, 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 | 2023 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2014 | 38 | |
| 5 | 2012 | 9 | |
| 6 | 2012 | 19 | |
| 7 | 2010 | 16 | |
| 8 | 2008 | 8 | |
| 9 | 2008 | 54 | |
| 10 | 2007 | 5 | |
| 11 | 2006 | 14 | |
| 12 | 2005 | 4 | |
| 13 | 2005 | 10 | |
| 14 | 2004 | 38 | |
| 15 | 2001 | 17 | |
| 16 | 1997 | 1 | |
| 17 | 1997 | 4 | |
| 18 | 1997 | 9 | |
| 19 | 1989 | 30 | |
| 20 | 1989 | 136 |
About Shigeru Yamano
Shigeru Yamano is a scholar working on Pharmacology, Biochemistry and Toxicology, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Drug Transport and Resistance Mechanisms (10 papers), Aldose Reductase and Taurine (9 papers), Cerebrovascular and Carotid Artery Diseases (9 papers), Eicosanoids and Hypertension Pharmacology (7 papers), Blood Pressure and Hypertension Studies (6 papers), Peroxisome Proliferator-Activated Receptors (6 papers) and Cardiovascular Health and Disease Prevention (6 papers). The work is most often cited by research in Pharmacology (595 citations), Biochemistry (290 citations) and Toxicology (65 citations). Shigeru Yamano has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Frank J. Gonzalez, Jun Tatsuno, Kimihiko Matsusue, Takashi Kusakabe, Toshimitsu Suzuki, Takahiro Noguchi, Yoshito Kumagai, Keiko Taguchi, Hidetoshi Yoshimura and Hidenari Shigematsu. Their work appears in journals such as Nucleic Acids Research, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.
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.