Daisuke Nakata
Impact in
- Pharmaceutical Science top 5%
- Drug Solubulity and Delivery Systems
- Reproductive Medicine top 5%
- Hypothalamic control of reproductive hormones
- Endometriosis Research and Treatment
Papers in
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- Coenzyme Q10 studies and effects 9
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- Sulfur-Based Synthesis Techniques 3
- Co-authors
- Keiji Terao (24 shared papers)Masami Kusaka (8 shared papers)Hiroshi Fukumi (5 shared papers)Kaneto Uekama (2 shared papers)G. M. Schmid (2 shared papers)Tsuneo Masaki (7 shared papers)Fumitoshi Hirayama (2 shared papers)Hidetoshi Arima (2 shared papers)
In The Last Decade
Daisuke Nakata
46 papers receiving 710 citations
Peers
Comparison fields: 5 of 86
- Pharmaceutical Science 75
- Reproductive Medicine 104
- Biochemistry 88
- Obstetrics and Gynecology 41
- Ophthalmology 47
Countries citing papers authored by Daisuke Nakata
This map shows the geographic impact of Daisuke Nakata'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 Daisuke Nakata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nakata more than expected).
Fields of papers citing papers by Daisuke Nakata
This network shows the impact of papers produced by Daisuke Nakata. 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 Daisuke Nakata. The network helps show where Daisuke Nakata may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Nakata, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 84 | |
| 2 | 2006 | 79 | |
| 3 | 2003 | 67 | |
| 4 | 2013 | 56 | |
| 5 | 2013 | 49 | |
| 6 | 2016 | 48 | |
| 7 | 2018 | 31 | |
| 8 | 2014 | 27 | |
| 9 | 2013 | 27 | |
| 10 | 2010 | 22 | |
| 11 | 2000 | 20 | |
| 12 | 2014 | 17 | |
| 13 | 2004 | 17 | |
| 14 | 2016 | 14 | |
| 15 | 2009 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2009 | 13 | |
| 18 | 2017 | 11 | |
| 19 | Enhanced dissolution and oral bioavailability of coenzyme Q 10 in dogs obtained by inclusion complexation with γ-cyclodextrin | 2006 | 11 |
| 20 | 2018 | 10 |
About Daisuke Nakata
Daisuke Nakata is a scholar working on Molecular Biology, Organic Chemistry, Biochemistry, Pulmonary and Respiratory Medicine and Biomaterials, having authored 47 papers that have together received 740 indexed citations. Recurring topics across this work include Coenzyme Q10 studies and effects (9 papers), Biochemical Acid Research Studies (9 papers), biodegradable polymer synthesis and properties (6 papers), Prostate Cancer Treatment and Research (6 papers), Advanced battery technologies research (5 papers), Hypothalamic control of reproductive hormones (4 papers), Drug Solubulity and Delivery Systems (4 papers) and Sulfur-Based Synthesis Techniques (3 papers). The work is most often cited by research in Pharmaceutical Science (75 citations), Reproductive Medicine (104 citations), Biochemistry (88 citations), Obstetrics and Gynecology (41 citations) and Ophthalmology (47 citations). Daisuke Nakata has collaborated with scholars based in Japan, Belarus and Taiwan. Frequent co-authors include Keiji Terao, Masami Kusaka, Hiroshi Fukumi, Kaneto Uekama, G. M. Schmid, Tsuneo Masaki, Fumitoshi Hirayama, Hidetoshi Arima, Yoshiyuki Ishida and Naoko Ikuta. Their work appears in journals such as The Prostate, European Journal of Pharmacology, Chemical and Pharmaceutical Bulletin, Tetrahedron and Journal of Clinical Biochemistry and Nutrition.
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.