Satoshi Ida

1.6k citations
54 papers · 1.1k · h-index 17

Impact in

Papers in

Satoshi Ida

49 papers receiving 1.0k citations

Peers

Satoshi Ida
Comparison fields: 5 of 80
  • Geriatrics and Gerontology 132
  • Physiology 447
  • Endocrinology, Diabetes and Metabolism 175
  • Gastroenterology 14
  • Surgery 108
Replace Deborah S. Hustead with:
Deborah S. Hustead United States
Kornelis J. J. van Hateren Netherlands
Aurelio Lo Buglio Italy
Moon Jong Kim South Korea
Diane Chau United States
Ji Lin United States
Thomas Grimmsmann Germany
Michele Tari Italy
Satoshi Ida relative to Deborah S. Hustead United States Deborah S. Hustead's profile →
Citations per field
00.5×3.2×
Deborah S. Hustead · 1×
Citations per year

Countries citing papers authored by Satoshi Ida

Since Specialization
Citations

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

Fields of papers citing papers by Satoshi Ida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018182
2 201998
3 201690
4 201966
5 202065
6 201557
7 201952
8 201739
9 201937
10 201931
11 199329
12 201929
13 201629
14 202024
15 202019
16 201818
17 202016
18 201814
19 201814
20 201814

About Satoshi Ida

Satoshi Ida is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism, Epidemiology, Geriatrics and Gerontology and Molecular Biology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Nutrition and Health in Aging (12 papers), Frailty in Older Adults (4 papers), Chronic Disease Management Strategies (4 papers), Diabetes Management and Research (3 papers), Body Composition Measurement Techniques (3 papers), Diabetes Treatment and Management (3 papers), Diabetes Management and Education (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Geriatrics and Gerontology (132 citations), Physiology (447 citations), Endocrinology, Diabetes and Metabolism (175 citations), Gastroenterology (14 citations) and Surgery (108 citations). Satoshi Ida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuya Murata, Ryutaro Kaneko, Kanako Imataka, Ryoko Fujiwara, Hiroka Takahashi, Yuki Ishihara, Akihiro Uchida, Yoshitaka Shirakura, Teruaki YUZURIHA and Hideo Baba. Their work appears in journals such as Cardiovascular Diabetology, Geriatrics and gerontology international, Xenobiotica, Journal of the American Medical Directors Association and Aging Clinical and Experimental Research.

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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