Hideyoshi Kaga

1.3k citations
62 papers · 692 · h-index 14

Impact in

Papers in

Hideyoshi Kaga

53 papers receiving 687 citations

Peers

Hideyoshi Kaga
Comparison fields: 5 of 82
  • Physiology 205
  • Endocrinology, Diabetes and Metabolism 87
  • Cellular and Molecular Neuroscience 71
  • Neurology 29
  • Epidemiology 74
Replace Miyoko Saito with:
Miyoko Saito Japan
Kevin Ong Australia
Kerstin Bettermann United States
Alan B. Coon United States
Chansol Hurr South Korea
Vilborg Pálsdóttir Sweden
S. Clavel Canada
Kyung-Joon Lim South Korea
Mariusz Wyleżoł Poland
Pınar Akan Türkiye
Hideyoshi Kaga relative to Miyoko Saito Japan Miyoko Saito's profile →
Citations per field
00.5×9.7×
Miyoko Saito · 1×
Citations per year

Countries citing papers authored by Hideyoshi Kaga

Since Specialization
Citations

This map shows the geographic impact of Hideyoshi Kaga'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 Hideyoshi Kaga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hideyoshi Kaga more than expected).

Fields of papers citing papers by Hideyoshi Kaga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hideyoshi Kaga. 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 Hideyoshi Kaga. The network helps show where Hideyoshi Kaga may publish in the future.

Co-authors

The 25 scholars most cited alongside Hideyoshi Kaga, 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 Hideyoshi Kaga Line = papers co-authored together Hideyoshi Kaga links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 202368
3 202254
4 202045
5 201938
6 201934
7
MR of the endolymphatic duct and sac: findings in Menière disease.
199731
8 201728
9 202127
10 201920
11 201820
12 202017
13 202215
14 202113
15 202213
16 202011
17 201710
18 201910
19 20189
20 20219

About Hideyoshi Kaga

Hideyoshi Kaga is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 62 papers that have together received 692 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (11 papers), Adipose Tissue and Metabolism (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (8 papers), Diet and metabolism studies (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Physiology (205 citations), Endocrinology, Diabetes and Metabolism (87 citations), Cellular and Molecular Neuroscience (71 citations), Neurology (29 citations) and Epidemiology (74 citations). Hideyoshi Kaga has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Hirotaka Watada, Ryuzo Kawamori, Yoshifumi Tamura, Yuki Someya, Shigeki Aoki, Satoshi Kadowaki, Saori Kakehi, Akio Kanazawa, Daisuke Sugimoto and Ruriko Suzuki. Their work appears in journals such as Scientific Reports, Journal of Diabetes Investigation, Diabetes, The Journal of Clinical Endocrinology & Metabolism and Nutrients.

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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