Ryosuke Takeda

2.1k citations
101 papers · 1.7k · h-index 20

Impact in

Papers in

Ryosuke Takeda

95 papers receiving 1.6k citations

Peers

Ryosuke Takeda
Comparison fields: 5 of 110
  • Endocrine and Autonomic Systems 294
  • Endocrinology, Diabetes and Metabolism 435
  • Cardiology and Cardiovascular Medicine 406
  • Pharmacy 50
  • Physiology 233
Replace Štefan Zórad with:
Štefan Zórad Slovakia
T. N. Thrasher United States
Takashi Miyawaki Japan
André S. Mecawi Brazil
J. Lincoln United Kingdom
Haifei Shi United States
Claudio Molinari Italy
Vinicia C. Biancardi United States
Robert W. Hamill United States
Dervla O’Malley Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Ryosuke Takeda

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Takeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994265
2 1993199
3 2019126
4 1995106
5 199267
6 201563
7 199058
8 201350
9 197149
10 199442
11 200732
12 202029
13 198627
14 199623
15 199923
16 201822
17 198621
18 202320
19 199219
20
Angiotensin II up-regulates the expression of type A endothelin receptor in human vascular smooth muscle cells.
199419

About Ryosuke Takeda

Ryosuke Takeda is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Endocrine and Autonomic Systems, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 101 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (21 papers), Neuroscience of respiration and sleep (14 papers), Cardiovascular and exercise physiology (14 papers), Hormonal Regulation and Hypertension (11 papers), Thermoregulation and physiological responses (11 papers), Muscle activation and electromyography studies (8 papers), Neuroendocrine regulation and behavior (6 papers) and Biochemical effects in animals (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (294 citations), Endocrinology, Diabetes and Metabolism (435 citations), Cardiology and Cardiovascular Medicine (406 citations), Pharmacy (50 citations) and Physiology (233 citations). Ryosuke Takeda has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Isamu Miyamori, A. Haji, Yoshiyu Takeda, Hiromitsu Hatakeyama, Hiroshi Yamamoto, Tomoyuki Fujita, John E. Remmers, Hisayo Yokoyama, Daiki Imai and Kazunobu Okazaki. Their work appears in journals such as Physiology, European Journal of Applied Physiology, The FASEB Journal, Clinical Autonomic Research and The Journal of Physiology.

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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