Y. Miyakawa
- Epidemiology top 0.5%
- Hepatology top 0.1%
- Infectious Diseases top 2%
- Immunology top 5%
- Molecular Biology
- Co-authors
- Hiroaki OkamotoMakoto MayumiY. AkahaneFumio TsudaM MayumiYoshiki SugaiMasaki ImaiHiroshi Sakugawa
- Topics
- Hepatitis B Virus Studies (45 papers)Hepatitis C virus research (28 papers)Liver Disease Diagnosis and Treatment (11 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- JapanUnited StatesCroatia
In The Last Decade
Y. Miyakawa
63 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Epidemiology 4.2k
- Hepatology 3.8k
- Infectious Diseases 700
- Immunology 479
- Molecular Biology 459
Countries citing papers authored by Y. Miyakawa
This map shows the geographic impact of Y. Miyakawa'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 Y. Miyakawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Miyakawa more than expected).
Fields of papers citing papers by Y. Miyakawa
This network shows the impact of papers produced by Y. Miyakawa. 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 Y. Miyakawa. The network helps show where Y. Miyakawa may publish in the future.
Co-authorship network of co-authors of Y. Miyakawa
This figure shows the co-authorship network connecting the top 25 collaborators of Y. Miyakawa. A scholar is included among the top collaborators of Y. Miyakawa 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 Y. Miyakawa. Y. Miyakawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 29 | |
| 4 | 27 | |
| 5 | 30 | |
| 6 | 45 | |
| 7 | 26 | |
| 8 | 16 | |
| 9 | 101 | |
| 10 | 41 | |
| 11 | 11 | |
| 12 | 60 | |
| 13 | 57 | |
| 14 | 17 | |
| 15 | Hepatitis B viruses with precore region defects prevail in persistently infected hosts along with seroconversion to the antibody against e antigenbreakdown → | 455 |
| 16 | Typing Hepatitis B Virus by Homology in Nucleotide Sequence: Comparison of Surface Antigen Subtypesbreakdown → | 887 |
| 17 | 19 | |
| 18 | 3 | |
| 19 | 6 | |
| 20 | 41 |
About Y. Miyakawa
Y. Miyakawa is a scholar working on Hepatology, Epidemiology and Immunology, having authored 64 papers that have together received 4.9k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (45 papers), Hepatitis C virus research (28 papers) and Liver Disease Diagnosis and Treatment (11 papers). The work is most often cited by research in Hepatology (3.8k citations), Epidemiology (4.2k citations) and Infectious Diseases (700 citations). Y. Miyakawa has collaborated with scholars based in Japan, United States and Croatia. Frequent co-authors include Hiroaki Okamoto, Makoto Mayumi, Y. Akahane, Fumio Tsuda, Fumio Tsuda, M Mayumi, Yoshiki Sugai, Masaki Imai, Hiroshi Sakugawa and Masayuki Imai. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.