Shinya Ayabe
Impact in
- Biochemistry top 5%
- Phytochemicals and Antioxidant Activities
- Pharmacology top 10%
- Pharmacological Effects of Natural Compounds
Papers in
-
- CRISPR and Genetic Engineering 4
-
- Pharmacological Effects of Natural Compounds 4
- Co-authors
- Hitoshi Aoshima (3 shared papers)Shintaro Hirata (1 shared paper)Tsutomu Furuya (4 shared papers)Takahisa Murata (5 shared papers)Masatoshi Hori (4 shared papers)Hiroshi Ozaki (4 shared papers)Atsushi Yoshiki (6 shared papers)Ken‐ichi Nakashima (1 shared paper)
- Journals
- Plant Cell Reports (4 papers)Food Chemistry (3 papers)Journal of Pharmacological Sciences (2 papers)genesis (1 paper)Scientific Reports (1 paper)
- Partner nations
- JapanNetherlands
In The Last Decade
Shinya Ayabe
19 papers receiving 332 citations
Peers
Comparison fields: 5 of 78
- Biochemistry 94
- Pharmacology 45
- Pathology and Forensic Medicine 71
- Food Science 52
- Complementary and alternative medicine 23
Countries citing papers authored by Shinya Ayabe
This map shows the geographic impact of Shinya 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 Shinya Ayabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shinya Ayabe more than expected).
Fields of papers citing papers by Shinya Ayabe
This network shows the impact of papers produced by Shinya 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 Shinya Ayabe. The network helps show where Shinya Ayabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Shinya 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 | 2006 | 88 | |
| 2 | 2005 | 51 | |
| 3 | 1986 | 37 | |
| 4 | 2013 | 30 | |
| 5 | 1990 | 27 | |
| 6 | 2016 | 26 | |
| 7 | 2018 | 22 | |
| 8 | 2009 | 10 | |
| 9 | 1988 | 10 | |
| 10 | 2007 | 10 | |
| 11 | 2008 | 9 | |
| 12 | 2023 | 8 | |
| 13 | 1987 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2011 | 1 |
About Shinya Ayabe
Shinya Ayabe is a scholar working on Molecular Biology, Pharmacology, Pathology and Forensic Medicine, Genetics and Biochemistry, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Pharmacological Effects of Natural Compounds (4 papers), Tea Polyphenols and Effects (3 papers), Phytochemicals and Antioxidant Activities (3 papers), Liver Disease and Transplantation (2 papers), Food Quality and Safety Studies (2 papers), Liver physiology and pathology (2 papers) and Genetics, Aging, and Longevity in Model Organisms (2 papers). The work is most often cited by research in Biochemistry (94 citations), Pharmacology (45 citations), Pathology and Forensic Medicine (71 citations), Food Science (52 citations) and Complementary and alternative medicine (23 citations). Shinya Ayabe has collaborated with scholars based in Japan and Netherlands. Frequent co-authors include Hitoshi Aoshima, Shintaro Hirata, Tsutomu Furuya, Takahisa Murata, Masatoshi Hori, Hiroshi Ozaki, Atsushi Yoshiki, Ken‐ichi Nakashima, Hiroshi Hirota and Tomoe Fujita. Their work appears in journals such as Plant Cell Reports, Food Chemistry, Journal of Pharmacological Sciences, genesis 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.