Tadasu Ikeda

606 citations
31 papers · 476 · h-index 11

Impact in

Papers in

    • Thyroid Disorders and Treatments 5
    • Diabetes Management and Research 4
    • Diet, Metabolism, and Disease 4
    • Growth Hormone and Insulin-like Growth Factors 4
    • Diet and metabolism studies 8
    • Nitric Oxide and Endothelin Effects 4

Tadasu Ikeda

29 papers receiving 461 citations

Peers

Tadasu Ikeda
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 154
  • Aquatic Science 28
  • Oncology 90
  • Physiology 79
  • Clinical Biochemistry 20
Replace F. Chanussot with:
F. Chanussot France
Eric D. Labonté United States
I.G. Safonova Russia
Simona Stan Canada
Maria Rosaria Odoardi Italy
Anna-Marie Brown United Kingdom
Marijke Schreurs Netherlands
Rucha Patel Canada
Xabier Buqué Spain
E H Mangiapane United Kingdom
Tadasu Ikeda relative to F. Chanussot France F. Chanussot's profile →
Citations per field
00.5×5.7×
F. Chanussot · 1×
Citations per year

Countries citing papers authored by Tadasu Ikeda

Since Specialization
Citations

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

Fields of papers citing papers by Tadasu Ikeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006160
2 200077
3 199933
4 201325
5 198725
6 200117
7 200213
8 199812
9 199012
10 198612
11 199010
12 19859
13 19919
14 19938
15 19858
16 19907
17 20037
18 20125
19 19994
20 20023

About Tadasu Ikeda

Tadasu Ikeda is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Surgery, Epidemiology and Molecular Biology, having authored 31 papers that have together received 476 indexed citations. Recurring topics across this work include Diet and metabolism studies (8 papers), Liver Disease Diagnosis and Treatment (5 papers), Thyroid Disorders and Treatments (5 papers), Pancreatic function and diabetes (5 papers), Diabetes Management and Research (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Diet, Metabolism, and Disease (4 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (154 citations), Aquatic Science (28 citations), Oncology (90 citations), Physiology (79 citations) and Clinical Biochemistry (20 citations). Tadasu Ikeda has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Keiko Iwata, Hiroshi Murakami, Hiroshi Takane, Eriko Shikata, Kenji Otsubo, Ichiro Ieiri, Chiaki Shigemasa, Hiroto Mashiba, Masato Tominaga and Hiroshi Ochi. Their work appears in journals such as Metabolism, Biochemical Pharmacology, Annals of Nutrition and Metabolism, ˜The œNephron journals/Nephron journals and Life Sciences.

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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