Kaoru Aida

1.8k citations
56 papers · 1.3k · h-index 23

Impact in

Papers in

    • Mitochondrial Function and Pathology 4
    • Diabetes and associated disorders 16
    • Estrogen and related hormone effects 6

Kaoru Aida

55 papers receiving 1.3k citations

Peers

Kaoru Aida
Comparison fields: 5 of 98
  • Pharmacology 273
  • Endocrinology, Diabetes and Metabolism 268
  • Clinical Biochemistry 107
  • Genetics 348
  • Cell Biology 145
Replace Graham P. Hayhurst with:
Graham P. Hayhurst United Kingdom
J�rgen Lehmann Germany
Heidi R. Kast-Woelbern United States
M. Sambasiva Rao United States
Meihong Lin United States
Wenwei Lin United States
John Dietschy United States
Andrew M. Anisfeld United States
Chunsong Yang United States
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Citations per field
00.5×2.9×
Graham P. Hayhurst · 1×
Citations per year

Countries citing papers authored by Kaoru Aida

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kaoru Aida Line = papers co-authored together Kaoru Aida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009131
2 1992103
3 199099
4 201166
5 199166
6 200754
7 199551
8 199147
9 199944
10 201336
11 199836
12 200033
13 199330
14 199727
15 199026
16 201525
17 201425
18 201325
19 199924
20 199024

About Kaoru Aida

Kaoru Aida is a scholar working on Molecular Biology, Genetics, Pharmacology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 56 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 (9 papers), Aldose Reductase and Taurine (8 papers), Pharmacogenetics and Drug Metabolism (7 papers), Estrogen and related hormone effects (6 papers), Pharmacological Effects of Natural Compounds (6 papers), Metabolism and Genetic Disorders (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Pharmacology (273 citations), Endocrinology, Diabetes and Metabolism (268 citations), Clinical Biochemistry (107 citations), Genetics (348 citations) and Cell Biology (145 citations). Kaoru Aida has collaborated with scholars based in Japan, United States and Finland. 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 Research and Clinical Practice, Diabetes and Genetic Analysis Biomolecular Engineering.

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.

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