Takeshi Hashimoto

3.5k total citations
115 papers, 2.8k citations indexed

About

Takeshi Hashimoto is a scholar working on Physiology, Cardiology and Cardiovascular Medicine and Complementary and alternative medicine. According to data from OpenAlex, Takeshi Hashimoto has authored 115 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Physiology, 39 papers in Cardiology and Cardiovascular Medicine and 28 papers in Complementary and alternative medicine. Recurrent topics in Takeshi Hashimoto's work include Heart Rate Variability and Autonomic Control (30 papers), Cardiovascular and exercise physiology (28 papers) and Adipose Tissue and Metabolism (28 papers). Takeshi Hashimoto is often cited by papers focused on Heart Rate Variability and Autonomic Control (30 papers), Cardiovascular and exercise physiology (28 papers) and Adipose Tissue and Metabolism (28 papers). Takeshi Hashimoto collaborates with scholars based in Japan, United States and United Kingdom. Takeshi Hashimoto's co-authors include Hayato Tsukamoto, George A. Brooks, Rajaa Hussien, Saji Oommen, Kishorchandra Gohil, Tadao Isaka, Shigehiko Ogoh, Saki Takenaka, Tadashi Suga and Daichi Tanaka and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takeshi Hashimoto

104 papers receiving 2.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takeshi Hashimoto Japan 27 879 778 671 518 339 115 2.8k
Matthew J. Rossman United States 31 930 1.1× 1.1k 1.4× 477 0.7× 908 1.8× 128 0.4× 100 2.9k
Leonardo F. Ferreira United States 36 955 1.1× 1.3k 1.6× 930 1.4× 1.5k 3.0× 340 1.0× 121 3.5k
François Piquard France 35 808 0.9× 1.5k 1.9× 554 0.8× 887 1.7× 269 0.8× 114 3.7k
Kurt W. Saupe United States 27 953 1.1× 844 1.1× 827 1.2× 293 0.6× 90 0.3× 52 2.8k
Nikolai Baastrup Nordsborg Denmark 31 917 1.0× 586 0.8× 941 1.4× 939 1.8× 715 2.1× 135 3.5k
Jeffrey W. Ryder United States 29 1.4k 1.6× 258 0.3× 1.6k 2.4× 125 0.2× 508 1.5× 47 2.9k
Adelino Sánchez Ramos da Silva Brazil 31 1.6k 1.8× 249 0.3× 819 1.2× 345 0.7× 620 1.8× 197 3.3k
O. Dériaz Switzerland 29 1.2k 1.4× 254 0.3× 914 1.4× 333 0.6× 574 1.7× 81 3.7k
Andrea Dennis United Kingdom 28 1.1k 1.3× 398 0.5× 483 0.7× 62 0.1× 115 0.3× 60 4.0k

Countries citing papers authored by Takeshi Hashimoto

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Hashimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Hashimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Hashimoto. A scholar is included among the top collaborators of Takeshi Hashimoto 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 Takeshi Hashimoto. Takeshi Hashimoto 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
2.
Sakai, Yoshiyuki, et al.. (2024). Caffeine Exerts Neither Ergogenic nor Hypoalgesic Effects on Sprint Interval Exercise with Intensive Exercise-Induced Muscle Pain. Journal of Sports Science and Medicine. 24(1). 1–8.
3.
Uchida, Masataka, Shumpei Fujie, Chihiro Kojima, et al.. (2024). Acute salivary antimicrobial peptide secretion response to different exercise intensities and durations. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 327(6). R616–R622.
4.
Sugawara, Jun, Takeshi Hashimoto, Hayato Tsukamoto, Niels H. Secher, & Shigehiko Ogoh. (2023). Attenuated pulsatile transition to the cerebral vasculature during high‐intensity interval exercise in young healthy men. Experimental Physiology. 108(8). 1057–1065. 1 indexed citations
5.
Nakagawa, Kazuya, Hayato Tsukamoto, Yasushi Shinohara, et al.. (2023). Ergogenic Effects of Very Low to Moderate Doses of Caffeine on Vertical Jump Performance. International Journal of Sport Nutrition and Exercise Metabolism. 33(5). 275–281. 6 indexed citations
6.
Nakamura, Tomohiro, et al.. (2023). Novel platform for quantitative evaluation of medicinal efficacy based on contractility of artificial skeletal muscle. SHILAP Revista de lepidopterología. 18(4). 23–396.
8.
Tsukamoto, Hayato, Niels D. Olesen, Lonnie G. Petersen, et al.. (2023). Circulating Plasma Oxytocin Level Is Elevated by High-Intensity Interval Exercise in Men. Medicine & Science in Sports & Exercise. 56(5). 927–932. 6 indexed citations
9.
Hiraishi, Keizo, Feiyan Zhao, Tetsuo Yamashita, et al.. (2022). Lactulose Modulates the Structure of Gut Microbiota and Alleviates Colitis-Associated Tumorigenesis. Nutrients. 14(3). 649–649. 39 indexed citations
10.
Konishi, Satoshi, et al.. (2021). Cell and tissue system capable of automated culture, stimulation, and monitor with the aim of feedback control of organs-on-a-chip. Scientific Reports. 11(1). 2999–2999. 8 indexed citations
11.
Hasan, Arif Ul, Koji Ohmori, Takeshi Hashimoto, et al.. (2017). PPARγ activation mitigates glucocorticoid receptor‐induced excessive lipolysis in adipocytes via homeostatic crosstalk. Journal of Cellular Biochemistry. 119(6). 4627–4635. 21 indexed citations
12.
Tsukamoto, Hayato, Tadashi Suga, Aya Ishibashi, et al.. (2017). Flavanol-rich cocoa consumption enhances exercise-induced executive function improvements in humans. Nutrition. 46. 90–96. 23 indexed citations
13.
Hashimoto, Takeshi, et al.. (2016). Evaluation of aortic regurgitation by ankle brachial pressure index (ABI) test. 65(1). 18–24. 1 indexed citations
14.
Hasan, Arif Ul, Koji Ohmori, Takeshi Hashimoto, et al.. (2016). Increase in tumor suppressor Arf compensates gene dysregulation in in vitro aged adipocytes. Biogerontology. 18(1). 55–68. 5 indexed citations
15.
Hasan, Arif Ul, Koji Ohmori, Takeshi Hashimoto, et al.. (2011). Pioglitazone promotes preadipocyte proliferation by downregulating p16Ink4a. Biochemical and Biophysical Research Communications. 411(2). 375–380. 10 indexed citations
16.
Narita, Hitomi, Akihiko Yoneyama, Takeshi Hashimoto, et al.. (1999). Takayasu's Arteritis Accompanied with Massive Pericardial Effusion. Angiology. 50(5). 421–425. 5 indexed citations
17.
Chen, Jie, et al.. (1993). ECG Data Compression by Using Wavelet Transform. IEICE Transactions on Information and Systems. 76(12). 1454–1461. 37 indexed citations
18.
Fujinami, Takao, et al.. (1990). Coronary risk factors in angiographically defined patients with chest pain.. Japanese Journal of Medicine. 29(5). 462–468. 7 indexed citations
19.
Hashimoto, Takeshi, et al.. (1980). . JOURNAL OF THE MARINE ENGINEERING SOCIETY IN JAPAN. 15(8). 599–611.

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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