Kaoru Aida
Impact in
- Pharmacology top 1%
- Pharmacological Effects of Natural Compounds
- Pharmacogenetics and Drug Metabolism
-
- Diabetes Management and Research
Papers in
-
- Mitochondrial Function and Pathology 4
- Genetics 22
- Diabetes and associated disorders 16
- Estrogen and related hormone effects 6
- Co-authors
- Toshimasa Onaya (22 shared papers)Masato Tawata (20 shared papers)Masahiko Negishi (10 shared papers)Tetsuro Kobayashi (20 shared papers)Shoichiro Tanaka (10 shared papers)Yoriko Nishida (7 shared papers)Masao Chin (4 shared papers)Norihiko Yokomori (4 shared papers)
- Journals
- Planta Medica (4 papers)Biochemical and Biophysical Research Communications (4 papers)Diabetes (3 papers)Diabetes Research and Clinical Practice (3 papers)Diabetes Care (2 papers)
- Partner nations
- JapanUnited StatesArgentina
In The Last Decade
Kaoru Aida
55 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Pharmacology 275
- Endocrinology, Diabetes and Metabolism 320
- Clinical Biochemistry 120
- Genetics 363
- Cell Biology 146
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-authors
The 25 scholars most cited alongside Kaoru Aida, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 124 | |
| 2 | 1992 | 99 | |
| 3 | 1990 | 92 | |
| 4 | 1991 | 64 | |
| 5 | 2011 | 63 | |
| 6 | 2007 | 53 | |
| 7 | 1995 | 51 | |
| 8 | 1991 | 46 | |
| 9 | 1999 | 41 | |
| 10 | 2013 | 35 | |
| 11 | 1998 | 33 | |
| 12 | 2000 | 30 | |
| 13 | 1993 | 29 | |
| 14 | 2013 | 25 | |
| 15 | 1997 | 25 | |
| 16 | 2015 | 25 | |
| 17 | 2014 | 25 | |
| 18 | 1990 | 24 | |
| 19 | 1990 | 23 | |
| 20 | 2006 | 22 |
About Kaoru Aida
Kaoru Aida is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Surgery and Pharmacology, 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), Aldose Reductase and Taurine (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Diabetes Management and Research (6 papers), Estrogen and related hormone effects (6 papers), Pharmacological Effects of Natural Compounds (6 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Pharmacology (275 citations), Endocrinology, Diabetes and Metabolism (320 citations), Clinical Biochemistry (120 citations), Genetics (363 citations) and Cell Biology (146 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 Planta Medica, Biochemical and Biophysical Research Communications, Diabetes, Diabetes Research and Clinical Practice 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.