Daisuke Akazawa
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Virology top 5%
- HIV Research and Treatment
Papers in
- Hepatology 16
- Hepatitis C virus research 16
- Epidemiology 14
- Hepatitis B Virus Studies 13
- Liver Disease Diagnosis and Treatment 5
- Co-authors
- Takaji Wakita (16 shared papers)Tomoko Date (13 shared papers)Kenichi Morikawa (9 shared papers)Asako Murayama (10 shared papers)Takanobu Kato (10 shared papers)Michiko Miyamoto (4 shared papers)Stéphanie Dabo (2 shared papers)Jacques Hugon (2 shared papers)
- Journals
- Journal of Virology (4 papers)PLoS Pathogens (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Vaccine (1 paper)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Daisuke Akazawa
24 papers receiving 896 citations
Peers
Comparison fields: 5 of 78
- Hepatology 658
- Virology 83
- Epidemiology 522
- Radiology, Nuclear Medicine and Imaging 151
- Immunology 138
Countries citing papers authored by Daisuke Akazawa
This map shows the geographic impact of Daisuke Akazawa'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 Akazawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Akazawa more than expected).
Fields of papers citing papers by Daisuke Akazawa
This network shows the impact of papers produced by Daisuke Akazawa. 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 Akazawa. The network helps show where Daisuke Akazawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Akazawa, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 165 | |
| 2 | 2007 | 98 | |
| 3 | 2010 | 96 | |
| 4 | 2011 | 83 | |
| 5 | 2013 | 60 | |
| 6 | 2007 | 54 | |
| 7 | 2007 | 49 | |
| 8 | 2010 | 43 | |
| 9 | 2012 | 35 | |
| 10 | 2014 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2010 | 26 | |
| 13 | 2007 | 21 | |
| 14 | 2011 | 18 | |
| 15 | 2011 | 18 | |
| 16 | 2000 | 15 | |
| 17 | 2009 | 14 | |
| 18 | 2011 | 11 | |
| 19 | 2005 | 10 | |
| 20 | 2010 | 9 |
About Daisuke Akazawa
Daisuke Akazawa is a scholar working on Hepatology, Epidemiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 25 papers that have together received 906 indexed citations. Recurring topics across this work include Hepatitis C virus research (16 papers), Hepatitis B Virus Studies (13 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Liver Disease Diagnosis and Treatment (5 papers), Animal Virus Infections Studies (2 papers), RNA regulation and disease (2 papers), interferon and immune responses (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Hepatology (658 citations), Virology (83 citations), Epidemiology (522 citations), Radiology, Nuclear Medicine and Imaging (151 citations) and Immunology (138 citations). Daisuke Akazawa has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Takaji Wakita, Tomoko Date, Kenichi Morikawa, Asako Murayama, Takanobu Kato, Michiko Miyamoto, Stéphanie Dabo, Jacques Hugon, Éliane Meurs and Masashi Mizokami. Their work appears in journals such as Journal of Virology, PLoS Pathogens, Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics and Vaccine.
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.