Hirotoshi Kakuta
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- Lipid metabolism and disorders 3
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- Computational Drug Discovery Methods 7
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- Plant biochemistry and biosynthesis 6
- Peroxisome Proliferator-Activated Receptors 5
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- Cholesterol and Lipid Metabolism 6
- Lipoproteins and Cardiovascular Health 4
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- Pharmacogenetics and Drug Metabolism 3
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- Adipose Tissue and Metabolism 3
- Co-authors
- Tsukasa IshiharaHisataka ShikamaIsao YanagisawaKeiji MiyataToshiyuki TakasuOsamu InagakiToshiyuki FunatsuMotoko Yamaguchi
In The Last Decade
Hirotoshi Kakuta
25 papers receiving 503 citations
Peers
Comparison fields: 5 of 76
- Endocrinology, Diabetes and Metabolism 109
- Cardiology and Cardiovascular Medicine 120
- Biochemistry 33
- Cancer Research 64
- Computational Theory and Mathematics 64
Countries citing papers authored by Hirotoshi Kakuta
This map shows the geographic impact of Hirotoshi Kakuta'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 Hirotoshi Kakuta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hirotoshi Kakuta more than expected).
Fields of papers citing papers by Hirotoshi Kakuta
This network shows the impact of papers produced by Hirotoshi Kakuta. 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 Hirotoshi Kakuta. The network helps show where Hirotoshi Kakuta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hirotoshi Kakuta, 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 | 2015 | 5 | |
| 2 | 2014 | 20 | |
| 3 | 2013 | 2 | |
| 4 | 2012 | 38 | |
| 5 | 2010 | 34 | |
| 6 | 2006 | 2 | |
| 7 | 2005 | 39 | |
| 8 | 2004 | 19 | |
| 9 | 2003 | 15 | |
| 10 | 2003 | 10 | |
| 11 | 2003 | 25 | |
| 12 | 2003 | 13 | |
| 13 | 2002 | 13 | |
| 14 | 2002 | 14 | |
| 15 | 2002 | 16 | |
| 16 | 2001 | 7 | |
| 17 | 2000 | 67 | |
| 18 | 1999 | 32 | |
| 19 | 1997 | 14 | |
| 20 | [Morphological studies on renal changes with age 1. Glomerular, tubular and interstitial changes (author's transl)]. | 1978 | 2 |
About Hirotoshi Kakuta
Hirotoshi Kakuta is a scholar working on Pharmacology, Computational Theory and Mathematics and Biochemistry, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Plant biochemistry and biosynthesis (6 papers), Cholesterol and Lipid Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Lipoproteins and Cardiovascular Health (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Adipose Tissue and Metabolism (3 papers) and Lipid metabolism and disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (109 citations), Cardiology and Cardiovascular Medicine (120 citations) and Biochemistry (33 citations). Hirotoshi Kakuta has collaborated with scholars based in Japan, Norway and Russia. Frequent co-authors include Tsukasa Ishihara, Hisataka Shikama, Isao Yanagisawa, Keiji Miyata, Toshiyuki Takasu, Osamu Inagaki, Toshiyuki Funatsu, Motoko Yamaguchi, Hiroshi Sasaki and Shintaro Nishimura. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and British Journal of Pharmacology.
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.