Masafumi Kakei
- Molecular Biology top 5%
- Surgery top 2%
- Endocrinology, Diabetes and Metabolism top 1%
- Endocrine and Autonomic Systems top 0.5%
- Physiology top 2%
- Co-authors
- Toshihiko YadaKatsuya DezakiAkinori NomaFrances M. AshcroftT ShibasakiMasanori NakataSeiki ItoTakuma Narita
- Topics
- Pancreatic function and diabetes (42 papers)Ion channel regulation and function (23 papers)Diabetes Treatment and Management (22 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masafumi Kakei
148 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 124
- Molecular Biology 2.0k
- Surgery 1.8k
- Endocrinology, Diabetes and Metabolism 1.3k
- Endocrine and Autonomic Systems 1.1k
- Physiology 1.0k
Countries citing papers authored by Masafumi Kakei
This map shows the geographic impact of Masafumi Kakei'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 Masafumi Kakei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masafumi Kakei more than expected).
Fields of papers citing papers by Masafumi Kakei
This network shows the impact of papers produced by Masafumi Kakei. 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 Masafumi Kakei. The network helps show where Masafumi Kakei may publish in the future.
Co-authorship network of co-authors of Masafumi Kakei
This figure shows the co-authorship network connecting the top 25 collaborators of Masafumi Kakei. A scholar is included among the top collaborators of Masafumi Kakei 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 Masafumi Kakei. Masafumi Kakei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 26 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 24 | |
| 6 | 15 | |
| 7 | 3 | |
| 8 | 19 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 63 | |
| 13 | 1 | |
| 14 | 66 | |
| 15 | 7 | |
| 16 | 197 | |
| 17 | 1 | |
| 18 | EFFECTS OF INTERNAL MG-2+ ON ATP-SENSITIVE K-CHANNELS IN ISOLATED RAT PANCREATIC B-CELLS | 5 |
| 19 | 35 | |
| 20 | ADENOSINE TRIPHOSPHATE-REGULATED POTASSIUM CHANNELS IN GUINEA-PIG VENTRICULAR CELLS | 1 |
About Masafumi Kakei
Masafumi Kakei is a scholar working on Endocrine and Autonomic Systems, Endocrinology, Diabetes and Metabolism and Nephrology, having authored 151 papers that have together received 5.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (42 papers), Ion channel regulation and function (23 papers) and Diabetes Treatment and Management (22 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.1k citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Nephrology (381 citations). Masafumi Kakei has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Toshihiko Yada, Katsuya Dezaki, Akinori Noma, Frances M. Ashcroft, T Shibasaki, Masanori Nakata, Seiki Ito, Takuma Narita, Masashi Yoshida and Hiroki Fujita. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.