Aika Miya
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Diet, Metabolism, and Disease
-
- Liver Disease Diagnosis and Treatment
Papers in
-
- Diabetes Treatment and Management 18
- Diabetes Management and Research 6
- Pituitary Gland Disorders and Treatments 3
-
- Metabolism, Diabetes, and Cancer 7
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Tatsuya Atsumi (38 shared papers)Akinobu Nakamura (36 shared papers)Hideaki Miyoshi (24 shared papers)Kyu Yong Cho (31 shared papers)Hiroshi Nomoto (33 shared papers)Hiraku Kameda (31 shared papers)Yoshio Kurihara (14 shared papers)Shin Aoki (11 shared papers)
- Journals
- Journal of Diabetes Investigation (9 papers)Diabetes Obesity and Metabolism (5 papers)Pharmaceutics (2 papers)Medicine (2 papers)Diabetology & Metabolic Syndrome (2 papers)
- Partner nations
- JapanUnited StatesCanada
In The Last Decade
Aika Miya
37 papers receiving 331 citations
Peers
Comparison fields: 5 of 36
- Endocrinology, Diabetes and Metabolism 201
- Epidemiology 64
- Surgery 48
- Pharmacology 19
- Genetics 23
Countries citing papers authored by Aika Miya
This map shows the geographic impact of Aika Miya'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 Aika Miya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aika Miya more than expected).
Fields of papers citing papers by Aika Miya
This network shows the impact of papers produced by Aika Miya. 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 Aika Miya. The network helps show where Aika Miya may publish in the future.
Co-authors
The 25 scholars most cited alongside Aika Miya, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 43 | |
| 2 | 2018 | 29 | |
| 3 | 2017 | 27 | |
| 4 | 2017 | 23 | |
| 5 | 2023 | 21 | |
| 6 | 2018 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2018 | 14 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2024 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 8 | |
| 14 | 2021 | 8 | |
| 15 | 2020 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2022 | 6 |
About Aika Miya
Aika Miya is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Surgery and Genetics, having authored 40 papers that have together received 336 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Metabolism, Diabetes, and Cancer (7 papers), Diabetes Management and Research (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers), Pituitary Gland Disorders and Treatments (3 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (201 citations), Epidemiology (64 citations), Surgery (48 citations), Pharmacology (19 citations) and Genetics (23 citations). Aika Miya has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Tatsuya Atsumi, Akinobu Nakamura, Hideaki Miyoshi, Kyu Yong Cho, Hiroshi Nomoto, Hiraku Kameda, Yoshio Kurihara, Shin Aoki, So Nagai and Kohei Yamamoto. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes Obesity and Metabolism, Pharmaceutics, Medicine and Diabetology & Metabolic Syndrome.
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.