Mitsuyasu Nakamura
- Hepatology top 1%
- Epidemiology top 5%
- Immunology top 5%
- Molecular Biology
- Infectious Diseases top 10%
- Co-authors
- Stanley M. LemonKui LiMasanori IkedaAllan Chris M. FerreonEileen FoyJosephine C. FerreonStuart C. RayMichael Gale
- Topics
- Hepatitis C virus research (7 papers)Hepatitis B Virus Studies (4 papers)Liver Disease Diagnosis and Treatment (3 papers)
- Cited by
- HepatologyImmunologyEpidemiology
- Partner nations
- JapanUnited States
In The Last Decade
Mitsuyasu Nakamura
24 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Hepatology 723
- Epidemiology 622
- Immunology 553
- Molecular Biology 306
- Infectious Diseases 147
Countries citing papers authored by Mitsuyasu Nakamura
This map shows the geographic impact of Mitsuyasu Nakamura'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 Mitsuyasu Nakamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuyasu Nakamura more than expected).
Fields of papers citing papers by Mitsuyasu Nakamura
This network shows the impact of papers produced by Mitsuyasu Nakamura. 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 Mitsuyasu Nakamura. The network helps show where Mitsuyasu Nakamura may publish in the future.
Co-authorship network of co-authors of Mitsuyasu Nakamura
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuyasu Nakamura. A scholar is included among the top collaborators of Mitsuyasu Nakamura 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 Mitsuyasu Nakamura. Mitsuyasu Nakamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 60 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 58 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 33 | |
| 9 | 9 | |
| 10 | 54 | |
| 11 | 5 | |
| 12 | Immune evasion by hepatitis C virus NS3/4A protease-mediated cleavage of the Toll-like receptor 3 adaptor protein TRIFbreakdown → | 846 |
| 13 | 117 | |
| 14 | 6 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 35 | |
| 18 | 32 | |
| 19 | [Proposed mechanism of action of metalloendopeptidase-F in the treatment of patients with chronic hepatitis B or C infection]. | 1 |
| 20 | 27 |
About Mitsuyasu Nakamura
Mitsuyasu Nakamura is a scholar working on Hepatology, Immunology and Epidemiology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (723 citations), Immunology (553 citations) and Epidemiology (622 citations). Mitsuyasu Nakamura has collaborated with scholars based in Japan and United States. Frequent co-authors include Stanley M. Lemon, Kui Li, Masanori Ikeda, Allan Chris M. Ferreon, Eileen Foy, Josephine C. Ferreon, Stuart C. Ray, Michael Gale, Tsubasa Munakata and Yuqiong Liang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Gastroenterology and Hepatology.
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.