Hideyoshi Kaga

1.4k citations
70 papers · 997 · h-index 16

Impact in

Papers in

Hideyoshi Kaga

62 papers receiving 988 citations

Peers

Hideyoshi Kaga
Comparison fields: 5 of 90
  • Endocrinology, Diabetes and Metabolism 185
  • Physiology 243
  • Nephrology 67
  • Cellular and Molecular Neuroscience 103
  • Neurology 33
Replace Yoshinori Takemura with:
Yoshinori Takemura Japan
Gidon Josia Bönhof Germany
Kirsten E. Peters Australia
Aleksandra A. Uruska Poland
Isao Tsuneyoshi Japan
Laura Petraglia Italy
Roberto Quadri Italy
Cameron W. Lush Canada
Chia-Hung Chiang Taiwan
Amro Maher Stino United States
Hideyoshi Kaga relative to Yoshinori Takemura Japan Yoshinori Takemura's profile →
Citations per field
00.5×2×4×6×7.9×
Yoshinori Takemura · 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 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021100
2 202377
3 202376
4 202365
5 202263
6 201655
7 202050
8 201945
9 201936
10
MR of the endolymphatic duct and sac: findings in Menière disease.
199734
11 201730
12 202129
13 201820
14 201920
15 202018
16 202217
17 202216
18 202115
19 202414
20 202013

About Hideyoshi Kaga

Hideyoshi Kaga is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Cellular and Molecular Neuroscience and Orthopedics and Sports Medicine, having authored 70 papers that have together received 997 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Adipose Tissue and Metabolism (9 papers), Diet and metabolism studies (6 papers), Cerebrospinal fluid and hydrocephalus (5 papers), Metabolism, Diabetes, and Cancer (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (185 citations), Physiology (243 citations), Nephrology (67 citations), Cellular and Molecular Neuroscience (103 citations) and Neurology (33 citations). Hideyoshi Kaga has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Hirotaka Watada, Ryuzo Kawamori, Yoshifumi Tamura, Yuki Someya, Shigeki Aoki, Daisuke Sugimoto, Satoshi Kadowaki, Akio Kanazawa, Saori Kakehi and Ruriko Suzuki. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Diabetes Investigation, Scientific Reports, Diabetes 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.

Explore authors with similar magnitude of impact