Yuko Akehi
Impact in
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- Hormonal Regulation and Hypertension
- Pituitary Gland Disorders and Treatments
- Adrenal Hormones and Disorders
- Clinical Biochemistry top 5%
- Advanced Glycation End Products research
- Metabolism and Genetic Disorders
Papers in
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- Hormonal and reproductive studies 6
- Adrenal Hormones and Disorders 5
- Pituitary Gland Disorders and Treatments 5
- Diabetes Management and Research 3
- Hormonal Regulation and Hypertension 3
- Diet, Metabolism, and Disease 3
- Surgery 7
- Adrenal and Paraganglionic Tumors 5
- Co-authors
- Toshihiko Yanase (14 shared papers)Makito Tanabe (9 shared papers)Toshiie Sakata (2 shared papers)Junko Ono (12 shared papers)Hironobu Yoshimatsu (2 shared papers)Takashi Nomiyama (9 shared papers)Akio Kuroda (6 shared papers)Munehide Matsuhisa (6 shared papers)
In The Last Decade
Yuko Akehi
35 papers receiving 684 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 260
- Clinical Biochemistry 75
- Physiology 130
- Endocrine and Autonomic Systems 33
- Nephrology 29
Countries citing papers authored by Yuko Akehi
This map shows the geographic impact of Yuko Akehi'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 Yuko Akehi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Akehi more than expected).
Fields of papers citing papers by Yuko Akehi
This network shows the impact of papers produced by Yuko Akehi. 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 Yuko Akehi. The network helps show where Yuko Akehi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Akehi, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 85 | |
| 2 | 2001 | 72 | |
| 3 | 2002 | 72 | |
| 4 | 2016 | 69 | |
| 5 | 2018 | 62 | |
| 6 | 2016 | 51 | |
| 7 | 2011 | 35 | |
| 8 | 2013 | 33 | |
| 9 | 2001 | 30 | |
| 10 | 2013 | 25 | |
| 11 | 2013 | 24 | |
| 12 | 2014 | 24 | |
| 13 | 2014 | 18 | |
| 14 | 2019 | 15 | |
| 15 | 2012 | 13 | |
| 16 | 2017 | 10 | |
| 17 | 2010 | 9 | |
| 18 | 2021 | 8 | |
| 19 | 2005 | 7 | |
| 20 | 2021 | 6 |
About Yuko Akehi
Yuko Akehi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Genetics and Nephrology, having authored 37 papers that have together received 708 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (6 papers), Adrenal Hormones and Disorders (5 papers), Pituitary Gland Disorders and Treatments (5 papers), Adrenal and Paraganglionic Tumors (5 papers), Diabetes Management and Research (3 papers), Diabetes and associated disorders (3 papers), Hormonal Regulation and Hypertension (3 papers) and Diet, Metabolism, and Disease (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (260 citations), Clinical Biochemistry (75 citations), Physiology (130 citations), Endocrine and Autonomic Systems (33 citations) and Nephrology (29 citations). Yuko Akehi has collaborated with scholars based in Japan and Australia. Frequent co-authors include Toshihiko Yanase, Makito Tanabe, Toshiie Sakata, Junko Ono, Hironobu Yoshimatsu, Takashi Nomiyama, Akio Kuroda, Munehide Matsuhisa, Hiroyasu Mori and Daisuke Tajima. Their work appears in journals such as Journal of Diabetes Investigation, Experimental Biology and Medicine, Endocrine Journal, Clinical Chemistry and Nutrition.
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.