Daisuke Nakai
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
- Oncology 25
- Drug Transport and Resistance Mechanisms 23
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- RNA Interference and Gene Delivery 4
- Co-authors
- Takaaki Abe (7 shared papers)Taro Tokui (8 shared papers)Rie Nakagomi (7 shared papers)Hiromu Yawo (4 shared papers)Masayuki Kakyo (3 shared papers)Takeshi Naitoh (3 shared papers)Toshiyuki Nishio (3 shared papers)Michiaki Unno (2 shared papers)
In The Last Decade
Daisuke Nakai
85 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 140
- Pharmacology 441
- Oncology 1.1k
- Pediatrics, Perinatology and Child Health 472
- Aging 44
- Biochemistry 169
Countries citing papers authored by Daisuke Nakai
This map shows the geographic impact of Daisuke Nakai'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 Nakai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Nakai more than expected).
Fields of papers citing papers by Daisuke Nakai
This network shows the impact of papers produced by Daisuke Nakai. 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 Nakai. The network helps show where Daisuke Nakai may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Nakai, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 439 | |
| 2 | 2002 | 266 | |
| 3 | 2001 | 179 | |
| 4 | 2009 | 177 | |
| 5 | 2012 | 121 | |
| 6 | 1999 | 85 | |
| 7 | 2006 | 85 | |
| 8 | 1999 | 75 | |
| 9 | 2004 | 73 | |
| 10 | 1999 | 71 | |
| 11 | 2001 | 69 | |
| 12 | 2007 | 57 | |
| 13 | 2009 | 53 | |
| 14 | 2016 | 53 | |
| 15 | 2009 | 52 | |
| 16 | 2007 | 49 | |
| 17 | 2010 | 37 | |
| 18 | 2006 | 34 | |
| 19 | 2018 | 32 | |
| 20 | 2003 | 31 |
About Daisuke Nakai
Daisuke Nakai is a scholar working on Oncology, Molecular Biology, Organic Chemistry, Epidemiology and Pharmacology, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (23 papers), Pharmacological Effects and Toxicity Studies (7 papers), HIV/AIDS drug development and treatment (5 papers), Pharmacogenetics and Drug Metabolism (5 papers), RNA Interference and Gene Delivery (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers) and Photopolymerization techniques and applications (4 papers). The work is most often cited by research in Pharmacology (441 citations), Oncology (1.1k citations), Pediatrics, Perinatology and Child Health (472 citations), Aging (44 citations) and Biochemistry (169 citations). Daisuke Nakai has collaborated with scholars based in Japan, Germany and Sweden. Frequent co-authors include Takaaki Abe, Taro Tokui, Rie Nakagomi, Hiromu Yawo, Masayuki Kakyo, Takeshi Naitoh, Toshiyuki Nishio, Michiaki Unno, Seiki Matsuno and Masanori Suzuki. Their work appears in journals such as Xenobiotica, Drug Metabolism and Disposition, Drug Metabolism and Pharmacokinetics, Journal of Pharmaceutical Sciences and Pharmaceutics.
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.