Fukiko Mitsui

643 citations
20 papers · 554 · h-index 11

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
  • Epidemiology top 10%
    • Hepatitis B Virus Studies
    • Liver Disease Diagnosis and Treatment

Papers in

    • Hepatitis C virus research 14
    • Hepatitis B Virus Studies 9
    • Liver Disease Diagnosis and Treatment 9
    • Cytomegalovirus and herpesvirus research 1

Fukiko Mitsui

20 papers receiving 545 citations

Peers

Fukiko Mitsui
Comparison fields: 5 of 40
  • Hepatology 423
  • Epidemiology 418
  • Virology 31
  • Rheumatology 80
  • Immunology 80
Replace Noha G. Bader El Din with:
Noha G. Bader El Din Egypt
Galia Askarieh Sweden
Sayuri Nitta Japan
I Braunschweiger Germany
Allan G. N. Angus United Kingdom
Yoichi Kimura Japan
Karen Fitzmaurice Ireland
Susana de Lucas Spain
M.C. Jung Germany
Carl Albrecht Schirren Germany
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Citations per field
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Citations per year

Countries citing papers authored by Fukiko Mitsui

Since Specialization
Citations

This map shows the geographic impact of Fukiko Mitsui'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 Fukiko Mitsui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fukiko Mitsui more than expected).

Fields of papers citing papers by Fukiko Mitsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fukiko Mitsui. 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 Fukiko Mitsui. The network helps show where Fukiko Mitsui may publish in the future.

Co-authors

The 25 scholars most cited alongside Fukiko Mitsui, 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 Fukiko Mitsui Line = papers co-authored together Fukiko Mitsui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2010111
2 201088
3 201078
4 201073
5 201040
6 201029
7 200926
8 200926
9 201120
10 201010
11 201010
12 20119
13 20109
14
A first case of hepatic angiosarcoma treated with recombinant interleukin-2.
20119
15 20104
16 20143
17 20103
18 20082
19 20102
20 20202

About Fukiko Mitsui

Fukiko Mitsui is a scholar working on Hepatology, Epidemiology, Rheumatology, Infectious Diseases and Surgery, having authored 20 papers that have together received 554 indexed citations. Recurring topics across this work include Hepatitis C virus research (14 papers), Hepatitis B Virus Studies (9 papers), Liver Disease Diagnosis and Treatment (9 papers), Systemic Lupus Erythematosus Research (4 papers), Animal Virus Infections Studies (2 papers), interferon and immune responses (1 paper), HIV Research and Treatment (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Hepatology (423 citations), Epidemiology (418 citations), Virology (31 citations), Rheumatology (80 citations) and Immunology (80 citations). Fukiko Mitsui has collaborated with scholars based in Japan, Switzerland and Italy. Frequent co-authors include Kazuaki Chayama, Masataka Tsuge, Shoichi Takahashi, Nobuhiko Hiraga, Michio Imamura, Hiromi Abe, C. Nelson Hayes, Hidenori Ochi, Daiki Miki and T Maekawa. Their work appears in journals such as Journal of Hepatology, Hepatology Research, Virus Research, Journal of General Virology and Radiation Research.

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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