Ryoyu Takeda

3.7k total citations
152 papers, 2.9k citations indexed

About

Ryoyu Takeda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ryoyu Takeda has authored 152 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Endocrinology, Diabetes and Metabolism, 58 papers in Surgery and 47 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Ryoyu Takeda's work include Hormonal Regulation and Hypertension (36 papers), Lipoproteins and Cardiovascular Health (18 papers) and Cardiovascular Function and Risk Factors (14 papers). Ryoyu Takeda is often cited by papers focused on Hormonal Regulation and Hypertension (36 papers), Lipoproteins and Cardiovascular Health (18 papers) and Cardiovascular Function and Risk Factors (14 papers). Ryoyu Takeda collaborates with scholars based in Japan, United States and Greece. Ryoyu Takeda's co-authors include Hiroshi Mabuchi, Junji Koizumi, Isamu Miyamori, Yasuyuki Sakai, Yoshiyu Takeda, Takanobu WAKASUGI, Takashi Yoneda, Norihiko Sugihara, Takeshi Sakai and Akira Yoshimura and has published in prestigious journals such as Nature, New England Journal of Medicine and Journal of Clinical Investigation.

In The Last Decade

Ryoyu Takeda

145 papers receiving 2.7k citations

Peers

Ryoyu Takeda
Comparison fields: 5 of 96
  • Surgery 1.3k
  • Endocrinology, Diabetes and Metabolism 1.2k
  • Cardiology and Cardiovascular Medicine 797
  • Molecular Biology 699
  • Cancer Research 298
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Anselm T. Bäumer Germany
Y. Antero Kesäniemi Finland
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Mikko Syvänne Finland
Hayes M. Dansky United States
Ulrich Julius Germany
T Kuusi Finland
Gert M. Kostner Austria
D. J. Betteridge United Kingdom
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Citations per field, relative to Ryoyu Takeda
Ryoyu Takeda · 1×
Citations per year, relative to Ryoyu Takeda
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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 of co-authors of Ryoyu Takeda

This figure shows the co-authorship network connecting the top 25 collaborators of Ryoyu Takeda. A scholar is included among the top collaborators of Ryoyu Takeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ryoyu Takeda. Ryoyu Takeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 2
4 12
5 21
6 74
7 3
8 1
9 3
10 15
11
-0954-ABDOMINAL ARTIC ANEURYSM OF FAMILIAL HYPERCHOLESTEROLEMIA : THE 54th ANNUAL SCIENTIFIC MEETING OF THE JAPANESE CIRCULATION SOCIETY
1
12 1
13 2
14 7
15
Effect of a New Aldose Reductase Inhibitor, Ponalrestat, on Reduction of Red Blood Cell Sorbitol Level in Diabetics
2
16 58
17 6
18 3
19 4
20 5

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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