Yoichi Kimura
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- Hepatitis B Virus Studies 4
- Liver Disease Diagnosis and Treatment 2
-
- Systemic Lupus Erythematosus Research 2
- Co-authors
- Christopher M. Walker (2 shared papers)Ann L. Erickson (1 shared paper)Denise M. McKinney (1 shared paper)Michael Houghton (1 shared paper)Suzu Igarashi (1 shared paper)Alessandro Sette (1 shared paper)Austin L. Hughes (1 shared paper)John Sidney (1 shared paper)
- Journals
- Journal of Hepatology (1 paper)International Archives of Allergy and Immunology (1 paper)Immunity (1 paper)Journal of Medical Virology (1 paper)Human Pathology (1 paper)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Yoichi Kimura
12 papers receiving 550 citations
Yoichi Kimura's Hit Papers
Peers
Comparison fields: 5 of 52
- Hepatology 403
- Virology 98
- Epidemiology 305
- Immunology 142
- Rheumatology 90
Countries citing papers authored by Yoichi Kimura
This map shows the geographic impact of Yoichi Kimura'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 Yoichi Kimura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoichi Kimura more than expected).
Fields of papers citing papers by Yoichi Kimura
This network shows the impact of papers produced by Yoichi Kimura. 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 Yoichi Kimura. The network helps show where Yoichi Kimura may publish in the future.
Co-authors
The 25 scholars most cited alongside Yoichi Kimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytes Hit paper breakdown → | 2001 | 321 |
| 2 | 2004 | 119 | |
| 3 | 2005 | 39 | |
| 4 | 2006 | 25 | |
| 5 | 2010 | 17 | |
| 6 | 2002 | 17 | |
| 7 | 2000 | 13 | |
| 8 | 1998 | 5 | |
| 9 | 2008 | 4 | |
| 10 | 1970 | 3 | |
| 11 | 2000 | 1 | |
| 12 | 2000 | 1 |
About Yoichi Kimura
Yoichi Kimura is a scholar working on Epidemiology, Rheumatology, Hepatology, Virology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 565 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), HIV Research and Treatment (2 papers), Systemic Lupus Erythematosus Research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), interferon and immune responses (1 paper), Atherosclerosis and Cardiovascular Diseases (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Hepatology (403 citations), Virology (98 citations), Epidemiology (305 citations), Immunology (142 citations) and Rheumatology (90 citations). Yoichi Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Christopher M. Walker, Ann L. Erickson, Denise M. McKinney, Michael Houghton, Suzu Igarashi, Alessandro Sette, Austin L. Hughes, John Sidney, Hiromi Ishibashi and Hideyuki Nomura. Their work appears in journals such as Journal of Hepatology, International Archives of Allergy and Immunology, Immunity, Journal of Medical Virology and Human Pathology.
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.