Masanori Ikeda
- Hepatology top 0.2%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Immunology top 2%
- Infectious Diseases top 2%
- Co-authors
- Nobuyuki KatoStanley M. LemonKui LiHiromichi DansakoMichael GaleEileen FoyKenichi AbeYasuo Ariumi
- Topics
- Hepatitis C virus research (88 papers)Hepatitis B Virus Studies (54 papers)Liver Disease Diagnosis and Treatment (37 papers)
- Cited by
- HepatologyEpidemiologyImmunology
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masanori Ikeda
234 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Hepatology 3.0k
- Epidemiology 2.8k
- Molecular Biology 1.9k
- Immunology 1.4k
- Infectious Diseases 706
Countries citing papers authored by Masanori Ikeda
This map shows the geographic impact of Masanori Ikeda'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 Masanori Ikeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masanori Ikeda more than expected).
Fields of papers citing papers by Masanori Ikeda
This network shows the impact of papers produced by Masanori Ikeda. 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 Masanori Ikeda. The network helps show where Masanori Ikeda may publish in the future.
Co-authorship network of co-authors of Masanori Ikeda
This figure shows the co-authorship network connecting the top 25 collaborators of Masanori Ikeda. A scholar is included among the top collaborators of Masanori Ikeda 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 Masanori Ikeda. Masanori Ikeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 16 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | Development of Iron Catalyst Technologies to Improve Exhaust-emission Purification Performance for Gasoline Engines | 2 |
| 9 | 0 | |
| 10 | 35 | |
| 11 | Building Knowledge for Characterization of the Bad Debt Customers in the Mail Order Industry with Random Forest. | 1 |
| 12 | 0 | |
| 13 | 58 | |
| 14 | 2 | |
| 15 | 1 | |
| 16 | Immune evasion by hepatitis C virus NS3/4A protease-mediated cleavage of the Toll-like receptor 3 adaptor protein TRIFbreakdown → | 846 |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 1 | |
| 20 | 2 |
About Masanori Ikeda
Masanori Ikeda is a scholar working on Hepatology, Epidemiology and Immunology and Allergy, having authored 253 papers that have together received 7.2k indexed citations. Recurring topics across this work include Hepatitis C virus research (88 papers), Hepatitis B Virus Studies (54 papers) and Liver Disease Diagnosis and Treatment (37 papers). The work is most often cited by research in Hepatology (3.0k citations), Epidemiology (2.8k citations) and Immunology (1.4k citations). Masanori Ikeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nobuyuki Kato, Stanley M. Lemon, Kui Li, Hiromichi Dansako, Michael Gale, Eileen Foy, Kenichi Abe, Yasuo Ariumi, Kazuhito Naka and Takaji Wakita. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological 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.