Shin Amemiya
- Endocrinology, Diabetes and Metabolism top 2%
- Genetics top 5%
- Surgery top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Georgeanna J. KlingensmithPhilip ZeitlerJanet SilversteinKiyohiko KatoKei AsayamaShinpei NakazawaNozomu SasakiM. Mochizuki
- Topics
- Diabetes Management and Research (32 papers)Diabetes and associated disorders (31 papers)Pancreatic function and diabetes (28 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Shin Amemiya
56 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Endocrinology, Diabetes and Metabolism 754
- Genetics 509
- Surgery 367
- Molecular Biology 223
- Public Health, Environmental and Occupational Health 176
Countries citing papers authored by Shin Amemiya
This map shows the geographic impact of Shin Amemiya'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 Shin Amemiya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin Amemiya more than expected).
Fields of papers citing papers by Shin Amemiya
This network shows the impact of papers produced by Shin Amemiya. 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 Shin Amemiya. The network helps show where Shin Amemiya may publish in the future.
Co-authorship network of co-authors of Shin Amemiya
This figure shows the co-authorship network connecting the top 25 collaborators of Shin Amemiya. A scholar is included among the top collaborators of Shin Amemiya based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shin Amemiya. Shin Amemiya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 54 | |
| 7 | 198 | |
| 8 | [The worldwide standardization of hemoglobin A1c measurement: the current statement from the Japan Diabetes Society and the issues to be solved]. | 0 |
| 9 | Implementation guide for application of KO500 method on working reference laboratories in HbA1c measurement | 1 |
| 10 | 103 | |
| 11 | 97 | |
| 12 | 31 | |
| 13 | 78 | |
| 14 | 3 | |
| 15 | 39 | |
| 16 | 42 | |
| 17 | 10 | |
| 18 | 6 | |
| 19 | 18 | |
| 20 | 2 |
About Shin Amemiya
Shin Amemiya is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Surgery, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes Management and Research (32 papers), Diabetes and associated disorders (31 papers) and Pancreatic function and diabetes (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (754 citations), Genetics (509 citations) and Surgery (367 citations). Shin Amemiya has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Georgeanna J. Klingensmith, Philip Zeitler, Janet Silverstein, Kiyohiko Kato, Kei Asayama, Shinpei Nakazawa, Nozomu Sasaki, M. Mochizuki, Toshihide Ishihara and Arlan L. Rosenbloom. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.
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.