Hiroaki Ayabe
Impact in
- Hepatology top 5%
- Liver physiology and pathology
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- Single-cell and spatial transcriptomics
- Pluripotent Stem Cells Research
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Renal and related cancers
Papers in
- Surgery 3
- Pediatric Hepatobiliary Diseases and Treatments 2
-
- Single-cell and spatial transcriptomics 1
- Pluripotent Stem Cells Research 1
- Co-authors
- Takanori Takebe (3 shared papers)Keisuke Sekine (2 shared papers)Emi Yoshizawa (3 shared papers)Hideki Taniguchi (2 shared papers)J. Gray Camp (2 shared papers)Barbara Treutlein (2 shared papers)Masaki Kimura (2 shared papers)Sabina Kanton (1 shared paper)
- Journals
- Hepatology (1 paper)Nature (1 paper)Molecular Therapy — Methods & Clinical Development (1 paper)Nature Communications (1 paper)Stem Cell Reports (1 paper)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Hiroaki Ayabe
5 papers receiving 521 citations
Hiroaki Ayabe's Hit Papers
Peers
Comparison fields: 5 of 68
- Hepatology 123
- Molecular Biology 345
- Biophysics 27
- Cancer Research 69
- Surgery 141
Countries citing papers authored by Hiroaki Ayabe
This map shows the geographic impact of Hiroaki Ayabe'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 Hiroaki Ayabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hiroaki Ayabe more than expected).
Fields of papers citing papers by Hiroaki Ayabe
This network shows the impact of papers produced by Hiroaki Ayabe. 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 Hiroaki Ayabe. The network helps show where Hiroaki Ayabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Hiroaki Ayabe, 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 | Multilineage communication regulates human liver bud development from pluripotency Hit paper breakdown → | 2017 | 424 |
| 2 | 2021 | 58 | |
| 3 | 2018 | 39 | |
| 4 | 2025 | 1 | |
| 5 | [Analysis of drug-induced apoptosis in human leukemic cell line (HL-60)]. | 1998 | 1 |
| 6 | 2025 | 0 |
About Hiroaki Ayabe
Hiroaki Ayabe is a scholar working on Surgery, Molecular Biology, Hepatology, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 523 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Neonatal Health and Biochemistry (1 paper), Neonatal Respiratory Health Research (1 paper), Pluripotent Stem Cells Research (1 paper) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Hepatology (123 citations), Molecular Biology (345 citations), Biophysics (27 citations), Cancer Research (69 citations) and Surgery (141 citations). Hiroaki Ayabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takanori Takebe, Keisuke Sekine, Emi Yoshizawa, Hideki Taniguchi, J. Gray Camp, Barbara Treutlein, Masaki Kimura, Sabina Kanton, Daniel Seehofer and Henry Loeffler‐Wirth. Their work appears in journals such as Hepatology, Nature, Molecular Therapy — Methods & Clinical Development, Nature Communications and Stem Cell 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.