Rie Utoh
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 31
- Pancreatic function and diabetes 18
- Tissue Engineering and Regenerative Medicine 10
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- 3D Printing in Biomedical Research 25
- Innovative Microfluidic and Catalytic Techniques Innovation 9
- Co-authors
- Teruo Okano (23 shared papers)Kazuo Ohashi (20 shared papers)Masumi Yamada (24 shared papers)Minoru Seki (20 shared papers)Katsutoshi Yoshizato (16 shared papers)Masayuki Yamato (6 shared papers)Chise Tateno (11 shared papers)Kohei Tatsumi (10 shared papers)
- Journals
- Cell Transplantation (5 papers)Biomaterials (5 papers)Lab on a Chip (4 papers)Development Growth & Differentiation (3 papers)ACS Omega (2 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Rie Utoh
63 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 108
- Hepatology 538
- Biomaterials 383
- Genetics 241
- Pharmacology 196
- Biomedical Engineering 849
Countries citing papers authored by Rie Utoh
This map shows the geographic impact of Rie Utoh'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 Rie Utoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rie Utoh more than expected).
Fields of papers citing papers by Rie Utoh
This network shows the impact of papers produced by Rie Utoh. 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 Rie Utoh. The network helps show where Rie Utoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Rie Utoh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 424 | |
| 2 | 2012 | 199 | |
| 3 | 2014 | 188 | |
| 4 | 2013 | 163 | |
| 5 | 2011 | 118 | |
| 6 | 2009 | 88 | |
| 7 | 2015 | 79 | |
| 8 | 2013 | 66 | |
| 9 | 2015 | 66 | |
| 10 | 2011 | 58 | |
| 11 | 2015 | 57 | |
| 12 | 2011 | 47 | |
| 13 | 2018 | 41 | |
| 14 | 2014 | 34 | |
| 15 | 2002 | 33 | |
| 16 | 2016 | 32 | |
| 17 | 2018 | 29 | |
| 18 | 2011 | 28 | |
| 19 | 2018 | 28 | |
| 20 | 2007 | 27 |
About Rie Utoh
Rie Utoh is a scholar working on Surgery, Biomedical Engineering, Hepatology, Molecular Biology and Oncology, having authored 64 papers that have together received 2.3k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (25 papers), Liver physiology and pathology (23 papers), Pancreatic function and diabetes (18 papers), Tissue Engineering and Regenerative Medicine (10 papers), Innovative Microfluidic and Catalytic Techniques Innovation (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (5 papers). The work is most often cited by research in Hepatology (538 citations), Biomaterials (383 citations), Genetics (241 citations), Pharmacology (196 citations) and Biomedical Engineering (849 citations). Rie Utoh has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Teruo Okano, Kazuo Ohashi, Masumi Yamada, Minoru Seki, Katsutoshi Yoshizato, Masayuki Yamato, Chise Tateno, Kohei Tatsumi, Kenichi Nagase and Yuya Yajima. Their work appears in journals such as Cell Transplantation, Biomaterials, Lab on a Chip, Development Growth & Differentiation and ACS Omega.
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.