Akiko Eguchi

6.5k citations
108 papers · 5.2k indexed · 2 hit papers · h-index 36

Impact in

  • Hepatology top 1%
    • Liver Disease and Transplantation
    • Liver physiology and pathology
    • MicroRNA in disease regulation

Papers in

Akiko Eguchi

106 papers receiving 5.2k citations

Hit Papers

Hepatocyte pyroptosis and release of inflammasome particles induce stellate cell activation and liver fibrosis 2020 · 405 citations
4052013202620172021250500750

Peers

Akiko Eguchi
Comparison fields: 5 of 125
  • Hepatology 907
  • Cancer Research 902
  • Epidemiology 2.0k
  • Molecular Biology 3.3k
  • Immunology 606
Replace Jean Rosenbaum with:
Jean Rosenbaum France
Jean‐Philippe Pradère France
Bård Smedsrød Norway
Klaas Poelstra Netherlands
Clay Winterford Australia
Pascale Briand France
Dean Tian China
Saburo Onishi Japan
Pengyuan Yang China
Peter Liu Canada
Akiko Eguchi relative to Jean Rosenbaum France Jean Rosenbaum's profile →
Citations per field
00.5×
Jean Rosenbaum · 1×
Citations per year

Countries citing papers authored by Akiko Eguchi

Since Specialization
Citations

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

Fields of papers citing papers by Akiko Eguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20232
5 202218
6 202117
7 20205
8 20206
9 202042
10 201953
11 201878
12
Hepatic Stellate Cell Specific NLRP3 Inflammasome Activation Results in Spontaneous Fibrosis
20161
13 201593
14 20132
15 201316
16 200991
17 20059
18 200336
19 2001256
20 200122

About Akiko Eguchi

Akiko Eguchi is a scholar working on Hepatology, Epidemiology, Molecular Biology, Cancer Research and Cell Biology, having authored 108 papers that have together received 5.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (46 papers), RNA Interference and Gene Delivery (22 papers), Liver Disease and Transplantation (22 papers), Extracellular vesicles in disease (19 papers), Virus-based gene therapy research (11 papers), Advanced biosensing and bioanalysis techniques (11 papers), MicroRNA in disease regulation (10 papers) and Adipose Tissue and Metabolism (8 papers). The work is most often cited by research in Hepatology (907 citations), Cancer Research (902 citations), Epidemiology (2.0k citations), Molecular Biology (3.3k citations) and Immunology (606 citations). Akiko Eguchi has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Ariel E. Feldstein, Alexander Wree, Casey D. Johnson, Davide Povero, Hal M. Hoffman, Matthew D. McGeough, Steven F. Dowdy, Carla A. Peña, Ali Canbay and Bettina G. Papouchado. Their work appears in journals such as Journal of Hepatology, Hepatology Communications, Journal of Molecular Medicine, Hepatology Research and Scientific Reports.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026