Ryoyu Takeda

3.7k citations
152 papers · 2.9k indexed · h-index 24

Ryoyu Takeda

145 papers receiving 2.7k citations

Peers

Ryoyu Takeda
Comparison fields: 5 of 96
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 797
  • Surgery 1.3k
  • Cancer Research 298
  • Biochemistry 126
Replace Y. Antero Kesäniemi with:
Y. Antero Kesäniemi Finland
R Češka Czechia
Junji Kobayashi Japan
Shlomo Keidar Israel
R. Fumagalli Italy
Masahiko Igarashi Japan
Shih‐Chieh Chueh Taiwan
Anselm T. Bäumer Germany
J L Breslow United States
Giulio Ceolotto Italy
Ryoyu Takeda relative to Y. Antero Kesäniemi Finland Y. Antero Kesäniemi's profile →
Citations per field
00.5×1.5×2.3×
Y. Antero Kesäniemi · 1×
Citations per year

Countries citing papers authored by Ryoyu Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryoyu Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19981
2 19972
3 19972
4 199612
5 199521
6 199574
7 19933
8 19921
9 19913
10 199115
11
-0954-ABDOMINAL ARTIC ANEURYSM OF FAMILIAL HYPERCHOLESTEROLEMIA : THE 54th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY
19901
12 19901
13 19902
14 19907
15
Effect of a New Aldose Reductase Inhibitor, Ponalrestat, on Reduction of Red Blood Cell Sorbitol Level in Diabetics
19892
16 198958
17 19896
18 19773
19 19774
20 19735

About Ryoyu Takeda

Ryoyu Takeda is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 152 papers that have together received 2.9k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (36 papers), Lipoproteins and Cardiovascular Health (18 papers), Cardiovascular Function and Risk Factors (14 papers), Cardiomyopathy and Myosin Studies (10 papers), Renin-Angiotensin System Studies (10 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers), Cardiac Imaging and Diagnostics (8 papers) and Eicosanoids and Hypertension Pharmacology (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (797 citations) and Surgery (1.3k citations). Ryoyu Takeda has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Mabuchi, Junji Koizumi, Isamu Miyamori, Yasuyuki Sakai, Yoshiyu Takeda, Takanobu WAKASUGI, Takashi Yoneda, Norihiko Sugihara, Takeshi Sakai and Akira Yoshimura. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.

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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