Junya Takagawa

1.1k total citations
32 papers, 893 citations indexed

About

Junya Takagawa is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Complementary and alternative medicine. According to data from OpenAlex, Junya Takagawa has authored 32 papers receiving a total of 893 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cardiology and Cardiovascular Medicine, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Complementary and alternative medicine. Recurrent topics in Junya Takagawa's work include Cardiovascular Function and Risk Factors (11 papers), Heart Rate Variability and Autonomic Control (10 papers) and Cardiovascular and exercise physiology (7 papers). Junya Takagawa is often cited by papers focused on Cardiovascular Function and Risk Factors (11 papers), Heart Rate Variability and Autonomic Control (10 papers) and Cardiovascular and exercise physiology (7 papers). Junya Takagawa collaborates with scholars based in Japan and United States. Junya Takagawa's co-authors include William Grossman, Matthew L. Springer, Richard E. Sievers, Yerem Yeghiazarians, Yan Zhang, Maelene L. Wong, Neel K. Kapasi, Hua Su, Janice Arakawa‐Hoyt and Yan Wang and has published in prestigious journals such as Journal of the American College of Cardiology, Biochemical and Biophysical Research Communications and Journal of Applied Physiology.

In The Last Decade

Junya Takagawa

30 papers receiving 888 citations

Peers

Junya Takagawa
Mark F. Berry United States
Qinghui Ou United States
Wing‐Hon Lai Hong Kong
Vivek Rao Canada
Leping Shen United States
Junya Takagawa
Citations per year, relative to Junya Takagawa Junya Takagawa (= 1×) peers Naofumi Takehara

Countries citing papers authored by Junya Takagawa

Since Specialization
Citations

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

Fields of papers citing papers by Junya Takagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junya Takagawa

This figure shows the co-authorship network connecting the top 25 collaborators of Junya Takagawa. A scholar is included among the top collaborators of Junya Takagawa 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 Junya Takagawa. Junya Takagawa 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
1.
Harada, Daisuke, Takahisa Noto, & Junya Takagawa. (2024). Multifaced risk factors and clinical impact of a deep Y descent in patients with heart failure irrespective of RV-PA coupling. IJC Heart & Vasculature. 53. 101439–101439.
2.
Harada, Daisuke, et al.. (2023). Right ventricular diastolic dysfunction worsens clinical outcomes in Japanese patients with heart failure. IJC Heart & Vasculature. 49. 101291–101291. 1 indexed citations
3.
Harada, Daisuke, et al.. (2021). The Impact of Deep Y Descent on Hemodynamics in Patients With Heart Failure and Preserved Left Ventricular Systolic Function. Frontiers in Cardiovascular Medicine. 8. 770923–770923. 3 indexed citations
4.
Harada, Daisuke, et al.. (2020). The impact of right ventricular dysfunction on the effectiveness of beta-blockers in heart failure with preserved ejection fraction. Journal of Cardiology. 76(4). 325–334. 12 indexed citations
5.
Harada, Daisuke, et al.. (2020). Different Pathophysiology and Outcomes of Heart Failure With Preserved Ejection Fraction Stratified by K-Means Clustering. Frontiers in Cardiovascular Medicine. 7. 607760–607760. 21 indexed citations
6.
Harada, Daisuke, et al.. (2019). Prominent ‘Y’ Descent is an Ominous Sign of a Poorer Prognosis in Heart Failure with Preserved Ejection Fraction. ESC Heart Failure. 6(4). 799–808. 8 indexed citations
7.
Harada, Daisuke, et al.. (2017). Impact of right ventricular distensibility on congestive heart failure with preserved left ventricular ejection fraction in the elderly. Heart and Vessels. 33(6). 605–614. 10 indexed citations
8.
Asanoi, Hidetsugu, Daisuke Harada, Yoshitaka Oda, et al.. (2017). Independent prognostic importance of respiratory instability and sympathetic nerve activity in patients with chronic heart failure. Journal of Cardiology. 70(5). 476–483. 6 indexed citations
10.
Zhang, Yan, Richard E. Sievers, Megha Prasad, et al.. (2010). Timing of bone marrow cell therapy is more important than repeated injections after myocardial infarction. Cardiovascular Pathology. 20(4). 204–212. 20 indexed citations
11.
Pons, Jennifer, Yu Huang, Junya Takagawa, et al.. (2009). Combining angiogenic gene and stem cell therapies for myocardial infarction. The Journal of Gene Medicine. 11(9). 743–753. 39 indexed citations
12.
Yeghiazarians, Yerem, Yan Zhang, Megha Prasad, et al.. (2009). Injection of Bone Marrow Cell Extract Into Infarcted Hearts Results in Functional Improvement Comparable to Intact Cell Therapy. Molecular Therapy. 17(7). 1250–1256. 80 indexed citations
13.
Pons, Jennifer, Yu Huang, Janice Arakawa‐Hoyt, et al.. (2008). VEGF improves survival of mesenchymal stem cells in infarcted hearts. Biochemical and Biophysical Research Communications. 376(2). 419–422. 112 indexed citations
14.
Su, Hua, Junya Takagawa, Yu Huang, et al.. (2008). Additive effect of AAV-mediated angiopoietin-1 and VEGF expression on the therapy of infarcted heart. International Journal of Cardiology. 133(2). 191–197. 30 indexed citations
15.
Takagawa, Junya, Yan Zhang, Maelene L. Wong, et al.. (2007). Myocardial infarct size measurement in the mouse chronic infarction model: comparison of area- and length-based approaches. Journal of Applied Physiology. 102(6). 2104–2111. 265 indexed citations
16.
Zhang, Yan, Junya Takagawa, Richard E. Sievers, et al.. (2006). Validation of the wall motion score and myocardial performance indexes as novel techniques to assess cardiac function in mice after myocardial infarction. American Journal of Physiology-Heart and Circulatory Physiology. 292(2). H1187–H1192. 79 indexed citations
17.
Ueno, Hiroshi, Hidetsugu Asanoi, Yoshitaka Oda, et al.. (2004). Attenuated respiratory modulation of chemoreflex-mediated sympathoexcitation in patients with chronic heart failure. Journal of Cardiac Failure. 10(3). 236–243. 15 indexed citations
18.
Asanoi, Hidetsugu, Hiroshi Ueno, Shuji Joho, et al.. (2004). Role of central sympathoexcitation in enhanced hypercapnic chemosensitivity in patients with heart failure. American Heart Journal. 148(6). 964–970. 30 indexed citations
19.
Asanoi, Hidetsugu, Junya Takagawa, Shuji Joho, et al.. (2003). Parametric System Identification of Arterial Baroreflex with Random Perturbation of Blood Pressure in Normal Subjects. Journal of Cardiovascular Pharmacology. 42. S11–S14. 2 indexed citations
20.
Joho, Shuji, Hidetsugu Asanoi, Junya Takagawa, et al.. (2002). Cardiac sympathetic denervationmodulates the sympathoexcitatoryresponse to acute myocardial ischemia. Journal of the American College of Cardiology. 39(3). 436–442. 13 indexed citations

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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