Chieko Matsui
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Hepatology top 5%
- Hepatitis C virus research
Papers in
- Hepatology 20
- Hepatitis C virus research 17
- Hepatitis Viruses Studies and Epidemiology 5
- Epidemiology 13
- Hepatitis B Virus Studies 8
- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Ikuo Shoji (26 shared papers)Lin Deng (26 shared papers)Takashi Shirakura (5 shared papers)Takayuki Abe (20 shared papers)Mizuho Tamura (3 shared papers)Johji Nomura (2 shared papers)Tsunefumi Kobayashi (3 shared papers)Nathalie Busso (1 shared paper)
- Journals
- Journal of Virology (9 papers)Infection Genetics and Evolution (3 papers)Journal of Medical Virology (2 papers)Scientific Reports (2 papers)Journal of General Virology (2 papers)
- Partner nations
- JapanIndonesiaUnited States
In The Last Decade
Chieko Matsui
38 papers receiving 700 citations
Peers
Comparison fields: 5 of 81
- Nephrology 158
- Hepatology 132
- Infectious Diseases 145
- Biochemistry 40
- Epidemiology 159
Countries citing papers authored by Chieko Matsui
This map shows the geographic impact of Chieko Matsui'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 Chieko Matsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chieko Matsui more than expected).
Fields of papers citing papers by Chieko Matsui
This network shows the impact of papers produced by Chieko Matsui. 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 Chieko Matsui. The network helps show where Chieko Matsui may publish in the future.
Co-authors
The 25 scholars most cited alongside Chieko Matsui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 149 | |
| 2 | 2020 | 58 | |
| 3 | 2018 | 45 | |
| 4 | 2018 | 37 | |
| 5 | 2003 | 37 | |
| 6 | 2019 | 34 | |
| 7 | 2012 | 34 | |
| 8 | 2018 | 31 | |
| 9 | 2016 | 29 | |
| 10 | 2018 | 25 | |
| 11 | 1991 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2022 | 21 | |
| 14 | 2017 | 21 | |
| 15 | 2021 | 19 | |
| 16 | 2020 | 18 | |
| 17 | 2023 | 14 | |
| 18 | 2021 | 11 | |
| 19 | 2011 | 10 | |
| 20 | 2015 | 9 |
About Chieko Matsui
Chieko Matsui is a scholar working on Hepatology, Epidemiology, Molecular Biology, Cell Biology and Infectious Diseases, having authored 40 papers that have together received 709 indexed citations. Recurring topics across this work include Hepatitis C virus research (17 papers), Hepatitis B Virus Studies (8 papers), Viral gastroenteritis research and epidemiology (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Gout, Hyperuricemia, Uric Acid (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Viral Infections and Immunology Research (4 papers). The work is most often cited by research in Nephrology (158 citations), Hepatology (132 citations), Infectious Diseases (145 citations), Biochemistry (40 citations) and Epidemiology (159 citations). Chieko Matsui has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Ikuo Shoji, Lin Deng, Takashi Shirakura, Takayuki Abe, Mizuho Tamura, Johji Nomura, Tsunefumi Kobayashi, Nathalie Busso, Annette Ives and Yoshihiro Yamanaka. Their work appears in journals such as Journal of Virology, Infection Genetics and Evolution, Journal of Medical Virology, Scientific Reports and Journal of General Virology.
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.