Daisuke Yamane
Impact in
- Hepatology top 1%
- Hepatitis C virus research
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Hepatology 25
- Hepatitis C virus research 22
- Epidemiology 17
- Hepatitis B Virus Studies 10
- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Stanley M. Lemon (27 shared papers)David R. McGivern (8 shared papers)Tetsuro Shimakami (9 shared papers)Takahiro Masaki (7 shared papers)You Li (7 shared papers)Rohit K. Jangra (2 shared papers)Carolyn Spaniel (2 shared papers)Brian J. Kempf (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Scientific Reports (4 papers)PLoS Pathogens (4 papers)Journal of Virology (4 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Daisuke Yamane
34 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 95
- Hepatology 794
- Cancer Research 648
- Immunology 489
- Infectious Diseases 318
- Epidemiology 586
Countries citing papers authored by Daisuke Yamane
This map shows the geographic impact of Daisuke Yamane'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 Yamane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisuke Yamane more than expected).
Fields of papers citing papers by Daisuke Yamane
This network shows the impact of papers produced by Daisuke Yamane. 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 Yamane. The network helps show where Daisuke Yamane may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisuke Yamane, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 300 | |
| 2 | 2012 | 176 | |
| 3 | 2021 | 165 | |
| 4 | 2015 | 115 | |
| 5 | 2021 | 114 | |
| 6 | 2010 | 112 | |
| 7 | 2011 | 109 | |
| 8 | 2011 | 108 | |
| 9 | 2015 | 104 | |
| 10 | 2015 | 97 | |
| 11 | 2014 | 96 | |
| 12 | 2017 | 71 | |
| 13 | 2012 | 66 | |
| 14 | 2017 | 60 | |
| 15 | 2013 | 59 | |
| 16 | 2013 | 57 | |
| 17 | 2015 | 54 | |
| 18 | 2013 | 36 | |
| 19 | 2015 | 29 | |
| 20 | 2013 | 26 |
About Daisuke Yamane
Daisuke Yamane is a scholar working on Hepatology, Epidemiology, Molecular Biology, Immunology and Cancer Research, having authored 36 papers that have together received 2.1k indexed citations. Recurring topics across this work include Hepatitis C virus research (22 papers), Hepatitis B Virus Studies (10 papers), interferon and immune responses (10 papers), Liver Disease Diagnosis and Treatment (8 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), MicroRNA in disease regulation (5 papers) and Animal Virus Infections Studies (3 papers). The work is most often cited by research in Hepatology (794 citations), Cancer Research (648 citations), Immunology (489 citations), Infectious Diseases (318 citations) and Epidemiology (586 citations). Daisuke Yamane has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Stanley M. Lemon, David R. McGivern, Tetsuro Shimakami, Takahiro Masaki, You Li, Rohit K. Jangra, Carolyn Spaniel, Brian J. Kempf, David J. Barton and Hui Feng. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports, PLoS Pathogens, Journal of Virology and Nucleic Acids Research.
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.