Kaoru Aida
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Pharmacology top 1%
- Co-authors
- Toshimasa OnayaMasato TawataMasahiko NegishiTetsuro KobayashiShoichiro TanakaYoriko NishidaMasao ChinNorihiko Yokomori
- Topics
- Diabetes and associated disorders (16 papers)Pancreatic function and diabetes (13 papers)Aldose Reductase and Taurine (8 papers)
- Partner nations
- JapanUnited StatesArgentina
In The Last Decade
Kaoru Aida
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 477
- Genetics 363
- Endocrinology, Diabetes and Metabolism 320
- Surgery 306
- Pharmacology 275
Countries citing papers authored by Kaoru Aida
This map shows the geographic impact of Kaoru Aida'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 Kaoru Aida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaoru Aida more than expected).
Fields of papers citing papers by Kaoru Aida
This network shows the impact of papers produced by Kaoru Aida. 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 Kaoru Aida. The network helps show where Kaoru Aida may publish in the future.
Co-authorship network of co-authors of Kaoru Aida
This figure shows the co-authorship network connecting the top 25 collaborators of Kaoru Aida. A scholar is included among the top collaborators of Kaoru Aida 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 Kaoru Aida. Kaoru Aida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 7 | |
| 3 | 13 | |
| 4 | 25 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 18 | |
| 8 | 124 | |
| 9 | 30 | |
| 10 | Immunohistochemical Localization of Calcium-Sensing Receptor in the Rat Kidney | 1 |
| 11 | 8 | |
| 12 | 18 | |
| 13 | 15 | |
| 14 | 5 | |
| 15 | 25 | |
| 16 | 11 | |
| 17 | 64 | |
| 18 | 92 | |
| 19 | Correlation of serum progesterone levels with reproductive status in female striped dolphins [Stenella coeruleoalba] and short-finned pilot whales [Globicephala macrorhynchus] | 1 |
| 20 | Effects of anti-inflammatory drugs and ONO-2235 on lens aldose reductase and on sorbitol accumulation in red blood cells | 5 |
About Kaoru Aida
Kaoru Aida is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism and Clinical Biochemistry, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Diabetes and associated disorders (16 papers), Pancreatic function and diabetes (13 papers) and Aldose Reductase and Taurine (8 papers). The work is most often cited by research in Pharmacology (275 citations), Endocrinology, Diabetes and Metabolism (320 citations) and Clinical Biochemistry (120 citations). Kaoru Aida has collaborated with scholars based in Japan, United States and Argentina. Frequent co-authors include Toshimasa Onaya, Masato Tawata, Masahiko Negishi, Tetsuro Kobayashi, Shoichiro Tanaka, Yoriko Nishida, Masao Chin, Norihiko Yokomori, Hiroki Shimura and Masahiro Kaneshige. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.
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.