Hideo Hakusui
- Molecular Biology
- Oncology top 5%
- Pharmacology top 2%
- Pharmacology top 2%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Osamu OkazakiRyo AtsumiWataru SuzukiMakoto TanakaMasayoshi FujimakiHiroyuki AokiKenichi SudoMasakiyo Hosokawa
- Topics
- Pharmacogenetics and Drug Metabolism (23 papers)Drug Transport and Resistance Mechanisms (22 papers)Antibiotics Pharmacokinetics and Efficacy (22 papers)
- Cited by
- PharmacologyMolecular Medicine
- Journals
- Antimicrobial Agents and ChemotherapyJournal of Pharmacology and Experimental TherapeuticsBiochemical Pharmacology
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Hideo Hakusui
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 581
- Oncology 574
- Pharmacology 472
- Pharmacology 212
- Pediatrics, Perinatology and Child Health 162
Countries citing papers authored by Hideo Hakusui
This map shows the geographic impact of Hideo Hakusui'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 Hideo Hakusui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideo Hakusui more than expected).
Fields of papers citing papers by Hideo Hakusui
This network shows the impact of papers produced by Hideo Hakusui. 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 Hideo Hakusui. The network helps show where Hideo Hakusui may publish in the future.
Co-authorship network of co-authors of Hideo Hakusui
This figure shows the co-authorship network connecting the top 25 collaborators of Hideo Hakusui. A scholar is included among the top collaborators of Hideo Hakusui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hideo Hakusui. Hideo Hakusui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 57 | |
| 3 | Pharmacokinetics and tolerance of pantoprazole, a proton pump inhibitor after single and multiple oral doses in healthy Japanese volunteers. | 12 |
| 4 | 3 | |
| 5 | 50 | |
| 6 | 4 | |
| 7 | 60 | |
| 8 | 17 | |
| 9 | 38 | |
| 10 | 4 | |
| 11 | 45 | |
| 12 | 39 | |
| 13 | 90 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 48 |
About Hideo Hakusui
Hideo Hakusui is a scholar working on Pharmacology, Pharmacology and Oncology, having authored 88 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Drug Transport and Resistance Mechanisms (22 papers) and Antibiotics Pharmacokinetics and Efficacy (22 papers). The work is most often cited by research in Pharmacology (472 citations), Molecular Medicine (131 citations) and Pharmacology (212 citations). Hideo Hakusui has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Osamu Okazaki, Ryo Atsumi, Wataru Suzuki, Makoto Tanaka, Masayoshi Fujimaki, Hiroyuki Aoki, Kenichi Sudo, Masakiyo Hosokawa, T Satoh and M Nakashima. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Pharmacology and Experimental Therapeutics and Biochemical 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.