Yoichi Kimura

12 papers receiving 563 citations

Yoichi Kimura's Hit Papers

The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytes 2001 · 335 citations
3350+8+16Years since publication100200300

Peers

Yoichi Kimura
Comparison fields: 5 of 49
  • Hepatology 402
  • Virology 88
  • Epidemiology 259
  • Immunology 129
  • Rheumatology 73
Replace Cristina Mori with:
Cristina Mori Italy
Constantine G. Marousis United States
Patricia Baré Argentina
Kouzaburo Yamaji Japan
V. Lamonaca Italy
Karl‐H. Meyer zum Büschenfelde Germany
Giampiero D’Offizi Italy
Nicole L. Yonkers United States
M.C. Jung Germany
Ramy El–Diwany United States
Yoichi Kimura relative to Cristina Mori Italy Cristina Mori's profile →
Citations per field
00.5×1.5×2.1×
Cristina Mori · 1×
Citations per year

Countries citing papers authored by Yoichi Kimura

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Yoichi Kimura Line = papers co-authored together Yoichi Kimura links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
The Outcome of Hepatitis C Virus Infection Is Predicted by Escape Mutations in Epitopes Targeted by Cytotoxic T Lymphocytes
Hit paper breakdown →
2001335
2 2004122
3 200539
4 200629
5 201017
6 200217
7 200016
8 19985
9 19704
10 20084
11 20001
12 20001

About Yoichi Kimura

Yoichi Kimura is a scholar working on Epidemiology, Hepatology, Rheumatology, Virology and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 590 indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Hepatitis B Virus Studies (4 papers), Liver Disease Diagnosis and Treatment (2 papers), HIV Research and Treatment (2 papers), Vasculitis and related conditions (1 paper), Vascular Malformations and Hemangiomas (1 paper), Radioactive contamination and transfer (1 paper) and Bone Tumor Diagnosis and Treatments (1 paper). The work is most often cited by research in Hepatology (402 citations), Virology (88 citations), Epidemiology (259 citations), Immunology (129 citations) and Rheumatology (73 citations). Yoichi Kimura has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Christopher M. Walker, Suzu Igarashi, Denise M. McKinney, Austin L. Hughes, Alessandro Sette, John Sidney, Ann L. Erickson, Michael Houghton, Hiromi Ishibashi and Hironori Tanimoto. Their work appears in journals such as The Journal of Dermatology, Journal of Virology, Journal of Hepatology, International Archives of Allergy and Immunology 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.

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