Emi Arikawa
Impact in
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- Diet, Metabolism, and Disease
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
Papers in
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- Molecular Biology Techniques and Applications 3
- Advanced biosensing and bioanalysis techniques 2
- Receptor Mechanisms and Signaling 2
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- Nitric Oxide and Endothelin Effects 6
- Co-authors
- John H. McNeill (7 shared papers)Denise Galipeau (3 shared papers)Ronald C.W. (3 shared papers)George L. King (3 shared papers)Keiji Isshiki (3 shared papers)Subodh Verma (4 shared papers)Mary L. Battell (3 shared papers)Allen C. Clermont (2 shared papers)
- Journals
- Diabetes (2 papers)Canadian Journal of Physiology and Pharmacology (2 papers)Hypertension (2 papers)Pharmacology (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- CanadaUnited StatesJapan
In The Last Decade
Emi Arikawa
16 papers receiving 676 citations
Peers
Comparison fields: 5 of 87
- Endocrinology, Diabetes and Metabolism 207
- Clinical Biochemistry 70
- Biochemistry 67
- Nephrology 64
- Physiology 215
Countries citing papers authored by Emi Arikawa
This map shows the geographic impact of Emi Arikawa'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 Emi Arikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emi Arikawa more than expected).
Fields of papers citing papers by Emi Arikawa
This network shows the impact of papers produced by Emi Arikawa. 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 Emi Arikawa. The network helps show where Emi Arikawa may publish in the future.
Co-authors
The 25 scholars most cited alongside Emi Arikawa, 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 | 153 | |
| 2 | 2008 | 133 | |
| 3 | 2004 | 76 | |
| 4 | 2001 | 67 | |
| 5 | 2005 | 56 | |
| 6 | 2007 | 48 | |
| 7 | 1998 | 37 | |
| 8 | 1998 | 26 | |
| 9 | 2005 | 24 | |
| 10 | 2001 | 21 | |
| 11 | 2002 | 18 | |
| 12 | 2021 | 16 | |
| 13 | 2006 | 13 | |
| 14 | 2024 | 2 | |
| 15 | 2007 | 1 | |
| 16 | 2008 | 1 |
About Emi Arikawa
Emi Arikawa is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 692 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Diet, Metabolism, and Disease (3 papers), Molecular Biology Techniques and Applications (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Alcohol Consumption and Health Effects (2 papers), Receptor Mechanisms and Signaling (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Eicosanoids and Hypertension Pharmacology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (207 citations), Clinical Biochemistry (70 citations), Biochemistry (67 citations), Nephrology (64 citations) and Physiology (215 citations). Emi Arikawa has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include John H. McNeill, Denise Galipeau, Ronald C.W., George L. King, Keiji Isshiki, Subodh Verma, Mary L. Battell, Allen C. Clermont, Inna Sekirov and Yutaka Yasuda. Their work appears in journals such as Diabetes, Canadian Journal of Physiology and Pharmacology, Hypertension, Pharmacology and The Journal of Immunology.
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.