Chikara Yamamoto
- Hepatology top 0.5%
- Epidemiology top 2%
- Rheumatology top 2%
- Immunology
- Molecular Biology
- Co-authors
- Masayuki KurosakiNamiki IzumiFumiaki MarumoIkuo SakumaYasuhiro AsahinaTakeshi MurakamiNobuyuki EnomotoChifumi Sato
- Topics
- Hepatitis C virus research (7 papers)Systemic Lupus Erythematosus Research (5 papers)Viral Infections and Immunology Research (1 paper)
- Cited by
- HepatologyEpidemiologyRheumatology
In The Last Decade
Chikara Yamamoto
11 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Hepatology 1.5k
- Epidemiology 1.2k
- Rheumatology 441
- Immunology 184
- Molecular Biology 176
Countries citing papers authored by Chikara Yamamoto
This map shows the geographic impact of Chikara Yamamoto'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 Chikara Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chikara Yamamoto more than expected).
Fields of papers citing papers by Chikara Yamamoto
This network shows the impact of papers produced by Chikara Yamamoto. 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 Chikara Yamamoto. The network helps show where Chikara Yamamoto may publish in the future.
Co-authorship network of co-authors of Chikara Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Chikara Yamamoto. A scholar is included among the top collaborators of Chikara Yamamoto 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 Chikara Yamamoto. Chikara Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 16 | |
| 3 | 3 | |
| 4 | Start up Optimization for Point of Use Filter in Lithography Process ISSM Paper: PO-P-104 | 1 |
| 5 | 35 | |
| 6 | 22 | |
| 7 | 141 | |
| 8 | 1 | |
| 9 | Mutations in the Nonstructural Protein 5a Gene and Response to Interferon in Patients with Chronic Hepatitis C Virus 1b Infectionbreakdown → | 829 |
| 10 | Comparison of full-length sequences of interferon-sensitive and resistant hepatitis C virus 1b. Sensitivity to interferon is conferred by amino acid substitutions in the NS5A region.breakdown → | 528 |
| 11 | 0 | |
| 12 | Sensitivity to Interferon is Conferred by Amino Acid Substitutions in the NS5A Region | 97 |
| 13 | [Fluctuation of HCV quasi-species population during interferon therapy; analysis by single strand conformation polymorphism]. | 1 |
About Chikara Yamamoto
Chikara Yamamoto is a scholar working on Hepatology, Rheumatology and Human-Computer Interaction, having authored 13 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis C virus research (7 papers), Systemic Lupus Erythematosus Research (5 papers) and Viral Infections and Immunology Research (1 paper). The work is most often cited by research in Hepatology (1.5k citations), Epidemiology (1.2k citations) and Rheumatology (441 citations). Chikara Yamamoto has collaborated with scholars based in Japan, Tunisia and Greece. Frequent co-authors include Masayuki Kurosaki, Namiki Izumi, Fumiaki Marumo, Ikuo Sakuma, Yasuhiro Asahina, Takeshi Murakami, Nobuyuki Enomoto, Chifumi Sato, Yuki Ogura and C Sato. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation 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.