Chieko Matsui

907 citations
38 papers · 677 · h-index 16

Impact in

  • Nephrology top 5%
    • Gout, Hyperuricemia, Uric Acid
  • Hepatology top 5%
    • Hepatitis C virus research
    • Hepatitis Viruses Studies and Epidemiology

Papers in

    • Hepatitis C virus research 17
    • Hepatitis Viruses Studies and Epidemiology 5
    • Hepatitis B Virus Studies 7
    • Liver Disease Diagnosis and Treatment 4

Chieko Matsui

37 papers receiving 668 citations

Peers

Chieko Matsui
Comparison fields: 5 of 82
  • Nephrology 158
  • Hepatology 148
  • Infectious Diseases 145
  • Animal Science and Zoology 55
  • Biochemistry 39
Replace Shengdi Wu with:
Shengdi Wu China
Yang Tai China
Amina Negash United States
Chuansheng Guo China
Shan Liang China
Ju‐Chien Cheng Taiwan
Ting Sun China
Xue Jing China
Dongfeng Sun Canada
Sanae Hayashi Japan
Chieko Matsui relative to Shengdi Wu China Shengdi Wu's profile →
Citations per field
00.5×5.6×
Shengdi Wu · 1×
Citations per year

Countries citing papers authored by Chieko Matsui

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014145
2 202057
3 201845
4 200335
5 201835
6 201933
7 201233
8 201629
9 201829
10 201824
11 199123
12 201721
13 201721
14 202219
15 202118
16 202016
17 202313
18 202111
19 20159
20 20119

About Chieko Matsui

Chieko Matsui is a scholar working on Hepatology, Epidemiology, Molecular Biology, Cell Biology and Infectious Diseases, having authored 38 papers that have together received 677 indexed citations. Recurring topics across this work include Hepatitis C virus research (17 papers), Hepatitis B Virus Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Animal Virus Infections Studies (4 papers), Viral Infections and Immunology Research (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Nephrology (158 citations), Hepatology (148 citations), Infectious Diseases (145 citations), Animal Science and Zoology (55 citations) and Biochemistry (39 citations). Chieko Matsui has collaborated with scholars based in Japan, Indonesia and United States. Frequent co-authors include Lin Deng, Ikuo Shoji, Takashi Shirakura, Takayuki Abe, Mizuho Tamura, Johji Nomura, Tsunefumi Kobayashi, Yoshihiro Yamanaka, Alexander So and Annette Ives. Their work appears in journals such as Journal of Virology, Infection Genetics and Evolution, Scientific Reports, Journal of Medical Virology 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.

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