M. Hosaka
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Pharmacology top 2%
- Antibiotics Pharmacokinetics and Efficacy
Papers in
- Pharmacology 18
- Antibiotics Pharmacokinetics and Efficacy 18
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- Cancer therapeutics and mechanisms 15
- Co-authors
- Hideyuki Fukuda (10 shared papers)Keiji Hirai (7 shared papers)Masaya Takei (6 shared papers)Ryuta Kishii (4 shared papers)Shizuko Iyobe (2 shared papers)T Nishino (3 shared papers)Kazuhiko Iwase (2 shared papers)Y. Asahina (2 shared papers)
- Journals
- Antimicrobial Agents and Chemotherapy (11 papers)Organic Letters (2 papers)Nuclear Physics A (2 papers)Chemotherapy (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
M. Hosaka
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 102
- Molecular Medicine 450
- Pharmacology 446
- Pharmaceutical Science 102
- Microbiology 50
- Nuclear and High Energy Physics 97
Countries citing papers authored by M. Hosaka
This map shows the geographic impact of M. Hosaka'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 M. Hosaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Hosaka more than expected).
Fields of papers citing papers by M. Hosaka
This network shows the impact of papers produced by M. Hosaka. 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 M. Hosaka. The network helps show where M. Hosaka may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Hosaka, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 126 | |
| 2 | 1984 | 98 | |
| 3 | 2001 | 96 | |
| 4 | 2005 | 91 | |
| 5 | 1992 | 91 | |
| 6 | 1995 | 65 | |
| 7 | 1986 | 65 | |
| 8 | 2005 | 58 | |
| 9 | 2001 | 58 | |
| 10 | 2001 | 37 | |
| 11 | 1995 | 35 | |
| 12 | 1998 | 34 | |
| 13 | 1995 | 32 | |
| 14 | 2002 | 30 | |
| 15 | 1981 | 28 | |
| 16 | 1993 | 24 | |
| 17 | 1994 | 20 | |
| 18 | 2021 | 19 | |
| 19 | 1996 | 18 | |
| 20 | 1998 | 18 |
About M. Hosaka
M. Hosaka is a scholar working on Pharmacology, Molecular Biology, Molecular Medicine, Nuclear and High Energy Physics and Atomic and Molecular Physics, and Optics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (18 papers), Cancer therapeutics and mechanisms (15 papers), Antibiotic Resistance in Bacteria (12 papers), Nuclear physics research studies (10 papers), Advanced Chemical Physics Studies (4 papers), Quantum Chromodynamics and Particle Interactions (4 papers), Astronomical and nuclear sciences (4 papers) and Catalytic C–H Functionalization Methods (3 papers). The work is most often cited by research in Molecular Medicine (450 citations), Pharmacology (446 citations), Pharmaceutical Science (102 citations), Microbiology (50 citations) and Nuclear and High Energy Physics (97 citations). M. Hosaka has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Hideyuki Fukuda, Keiji Hirai, Masaya Takei, Ryuta Kishii, Shizuko Iyobe, T Nishino, Kazuhiko Iwase, Y. Asahina, Takayoshi Ishizaki and Hiroshi Aoyama. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Organic Letters, Nuclear Physics A, Chemotherapy and Journal of Medicinal Chemistry.
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.