Akiko Eguchi
Impact in
- Hepatology top 1%
- Liver Disease and Transplantation
- Liver physiology and pathology
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
- Hepatology 30
- Liver Disease and Transplantation 22
- Epidemiology 58
- Liver Disease Diagnosis and Treatment 46
- Co-authors
- Ariel E. FeldsteinAlexander WreeCasey D. JohnsonDavide PoveroHal M. HoffmanMatthew D. McGeoughSteven F. DowdyCarla A. Peña
- Journals
- Journal of Hepatology (7 papers)Hepatology Communications (5 papers)Journal of Molecular Medicine (4 papers)Hepatology Research (4 papers)Scientific Reports (3 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Akiko Eguchi
106 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Hepatology 907
- Cancer Research 902
- Epidemiology 2.0k
- Molecular Biology 3.3k
- Immunology 606
Countries citing papers authored by Akiko Eguchi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 18 | |
| 6 | 2021 | 17 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 6 | |
| 9 | 2020 | 42 | |
| 10 | 2019 | 53 | |
| 11 | 2018 | 78 | |
| 12 | Hepatic Stellate Cell Specific NLRP3 Inflammasome Activation Results in Spontaneous Fibrosis | 2016 | 1 |
| 13 | 2015 | 93 | |
| 14 | 2013 | 2 | |
| 15 | 2013 | 16 | |
| 16 | 2009 | 91 | |
| 17 | 2005 | 9 | |
| 18 | 2003 | 36 | |
| 19 | 2001 | 256 | |
| 20 | 2001 | 22 |
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.