Eriko Abe
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
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- Algal biology and biofuel production
Papers in
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- Microbial Metabolic Engineering and Bioproduction 4
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- Breast Cancer Treatment Studies 6
- Co-authors
- Makoto Ito (9 shared papers)Masahiro Hayashi (8 shared papers)Nozomu Okino (8 shared papers)Kengo Azushima (12 shared papers)Hiromichi Wakui (14 shared papers)Kouichi Tamura (14 shared papers)Takahiro Yamaji (11 shared papers)Shinichi Sugimoto (4 shared papers)
- Journals
- Scientific Reports (3 papers)Pathology International (2 papers)International Journal of Molecular Sciences (2 papers)Applied and Environmental Microbiology (2 papers)Journal of Lipid Research (2 papers)
- Partner nations
- JapanSingaporeUnited States
In The Last Decade
Eriko Abe
37 papers receiving 722 citations
Peers
Comparison fields: 5 of 92
- Biochemistry 102
- Renewable Energy, Sustainability and the Environment 170
- Nephrology 63
- Cancer Research 106
- Endocrinology, Diabetes and Metabolism 110
Countries citing papers authored by Eriko Abe
This map shows the geographic impact of Eriko Abe'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 Eriko Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eriko Abe more than expected).
Fields of papers citing papers by Eriko Abe
This network shows the impact of papers produced by Eriko Abe. 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 Eriko Abe. The network helps show where Eriko Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Eriko Abe, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 98 | |
| 2 | 2011 | 59 | |
| 3 | 2012 | 58 | |
| 4 | 2012 | 55 | |
| 5 | 2011 | 50 | |
| 6 | 2021 | 49 | |
| 7 | 2012 | 44 | |
| 8 | 1988 | 34 | |
| 9 | 2014 | 33 | |
| 10 | 2021 | 22 | |
| 11 | 2017 | 22 | |
| 12 | 2006 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2017 | 15 | |
| 15 | 2020 | 14 | |
| 16 | 2014 | 14 | |
| 17 | 2008 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2019 | 11 | |
| 20 | 2023 | 9 |
About Eriko Abe
Eriko Abe is a scholar working on Molecular Biology, Cancer Research, Biochemistry, Surgery and Nephrology, having authored 39 papers that have together received 733 indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (7 papers), Breast Cancer Treatment Studies (6 papers), Algal biology and biofuel production (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Diabetes Treatment and Management (3 papers), Trace Elements in Health (3 papers), Nephrotoxicity and Medicinal Plants (3 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Biochemistry (102 citations), Renewable Energy, Sustainability and the Environment (170 citations), Nephrology (63 citations), Cancer Research (106 citations) and Endocrinology, Diabetes and Metabolism (110 citations). Eriko Abe has collaborated with scholars based in Japan, Singapore and United States. Frequent co-authors include Makoto Ito, Masahiro Hayashi, Nozomu Okino, Kengo Azushima, Hiromichi Wakui, Kouichi Tamura, Takahiro Yamaji, Shinichi Sugimoto, Shingo Urate and Daiske Honda. Their work appears in journals such as Scientific Reports, Pathology International, International Journal of Molecular Sciences, Applied and Environmental Microbiology and Journal of Lipid Research.
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.