Kosaku Goto

402 total citations
11 papers, 254 citations indexed

About

Kosaku Goto is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kosaku Goto has authored 11 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kosaku Goto's work include Peroxisome Proliferator-Activated Receptors (3 papers), Cardiovascular Function and Risk Factors (3 papers) and ECG Monitoring and Analysis (2 papers). Kosaku Goto is often cited by papers focused on Peroxisome Proliferator-Activated Receptors (3 papers), Cardiovascular Function and Risk Factors (3 papers) and ECG Monitoring and Analysis (2 papers). Kosaku Goto collaborates with scholars based in Japan, United States and Greece. Kosaku Goto's co-authors include Masahiko Kurabayashi, Masashi Arai, Toshihiro Suga, Mas Rizky A. A. Syamsunarno, Tatsuya Iso, Aiko Yamaguchi, Hiroki Matsui, Hirofumi Hanaoka, Keigo Endo and Makoto Suematsu and has published in prestigious journals such as Journal of the American College of Cardiology, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Kosaku Goto

11 papers receiving 251 citations

Peers

Kosaku Goto
Kosaku Goto
Citations per year, relative to Kosaku Goto Kosaku Goto (= 1×) peers Mutsumi Iwamoto

Countries citing papers authored by Kosaku Goto

Since Specialization
Citations

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

Fields of papers citing papers by Kosaku Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kosaku Goto

This figure shows the co-authorship network connecting the top 25 collaborators of Kosaku Goto. A scholar is included among the top collaborators of Kosaku Goto 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 Kosaku Goto. Kosaku Goto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hasumi, Eriko, Kosaku Goto, Tsukasa Oshima, et al.. (2024). Prediction of pacemaker-induced cardiomyopathy using a convolutional neural network based on clinical findings prior to pacemaker implantation. Scientific Reports. 14(1). 6916–6916. 2 indexed citations
2.
Goto, Kosaku, Zhijing Zhao, Mitsuaki Matsumura, et al.. (2015). Mechanisms and Patterns of Intravascular Ultrasound In-Stent Restenosis Among Bare Metal Stents and First- and Second-Generation Drug-Eluting Stents. The American Journal of Cardiology. 116(9). 1351–1357. 57 indexed citations
3.
Goto, Kosaku, Ιoannis Iakovou, Aggeliki Gkouziouta, et al.. (2015). Intravascular Ultrasonic Imaging of Coronary Arterial Remodeling in Heart Transplant Recipients. The American Journal of Cardiology. 116(5). 785–790. 1 indexed citations
4.
Ohyama, Yoshiaki, Tatsuya Iso, Shuntaro Tamura, et al.. (2013). SERUM FATTY ACID BINDING PROTEIN 4 IS AN EARLY MARKER FOR ACUTE MYOCARDIAL INFARCTION. Journal of the American College of Cardiology. 61(10). E191–E191. 2 indexed citations
5.
Goto, Kosaku, Tatsuya Iso, Hirofumi Hanaoka, et al.. (2013). Peroxisome Proliferator‐Activated Receptor‐γ in Capillary Endothelia Promotes Fatty Acid Uptake by Heart During Long‐Term Fasting. Journal of the American Heart Association. 2(1). e004861–e004861. 54 indexed citations
6.
Iso, Tatsuya, Kazuhisa Maeda, Hirofumi Hanaoka, et al.. (2013). Capillary Endothelial Fatty Acid Binding Proteins 4 and 5 Play a Critical Role in Fatty Acid Uptake in Heart and Skeletal Muscle. Arteriosclerosis Thrombosis and Vascular Biology. 33(11). 2549–2557. 104 indexed citations
7.
Negishi, Kazuaki, Masahiro Nakajima, Kosaku Goto, et al.. (2010). The Seabed-like Appearance of Atherosclerotic Plaques: Three-Dimensional Transesophageal Echocardiographic Images of the Aortic Arch Causing Cholesterol Crystal Emboli. Journal of the American Society of Echocardiography. 23(11). 1222.e1–1222.e4. 5 indexed citations
8.
Goto, Kosaku, Masashi Arai, Atai Watanabe, et al.. (2010). Utility of Echocardiography Versus BNP Level for the Prediction of Pulmonary Arterial Pressure in Patients With Pulmonary Arterial Hypertension. International Heart Journal. 51(5). 343–347. 22 indexed citations
9.
Mitani, Haruo, Kosaku Goto, Susumu Tao, et al.. (2009). Alcohol‐induced Ventricular Fibrillation in Brugada Syndrome. Journal of Arrhythmia. 25(1). 32–35. 3 indexed citations
10.
Mitani, Haruo, Kosaku Goto, Susumu Tao, et al.. (2009). Alcohol-induced Ventricular Fibrillation in Brugada Syndrome. Journal of Arrhythmia. 25(1). 32–35. 1 indexed citations
11.
Goto, Kosaku, Eiichi Okamoto, Michiko Endo, et al.. (2005). Cardiac sarcoidosis detected by FDG-PET.. Nihon Naika Gakkai Zasshi. 94(7). 1396–1398. 3 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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