Keiichi Fukuda
About
Keiichi Fukuda is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery.
According to data from OpenAlex, Keiichi Fukuda has authored 772 papers receiving a total of 23.3k indexed citations (citations by other indexed papers that have themselves been cited), including 450 papers in Cardiology and Cardiovascular Medicine, 218 papers in Molecular Biology and 185 papers in Surgery. Recurrent topics in Keiichi Fukuda's work include Pulmonary Hypertension Research and Treatments (90 papers), Cardiovascular Function and Risk Factors (87 papers) and Pluripotent Stem Cells Research (87 papers). Keiichi Fukuda is often cited by papers focused on Pulmonary Hypertension Research and Treatments (90 papers), Cardiovascular Function and Risk Factors (87 papers) and Pluripotent Stem Cells Research (87 papers). Keiichi Fukuda collaborates with scholars based in Japan, United States and China. Keiichi Fukuda's co-authors include Motoaki Sano, Satoshi Ogawa, Shinsuke Yuasa, Shinji Makino, Toshiyuki Takahashi, Masaki Ieda, Yoshinori Katsumata, Shun Kohsaka, Jin Endo and Shingo Hori and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.
In The Last Decade
Keiichi Fukuda
735 papers receiving 22.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Keiichi Fukuda Japan | 74 | 8.9k | 8.9k | 6.5k | 3.4k | 2.8k | 772 | 23.3k | ||
| Gerard Pasterkamp Netherlands | 78 | 6.6k 0.7× | 9.0k 1.0× | 6.4k 1.0× | 4.8k 1.4× | 1.8k 0.6× | 515 | 24.8k | ||
| Tsutomu Imaizumi Japan | 76 | 7.3k 0.8× | 6.8k 0.8× | 4.8k 0.7× | 2.6k 0.8× | 2.3k 0.8× | 350 | 21.1k | ||
| Junbo Ge China | 70 | 7.7k 0.9× | 5.8k 0.7× | 6.1k 0.9× | 2.7k 0.8× | 1.2k 0.4× | 843 | 19.2k | ||
| Pieter A. Doevendans Netherlands | 81 | 13.6k 1.5× | 9.7k 1.1× | 6.4k 1.0× | 2.0k 0.6× | 1.5k 0.5× | 652 | 27.4k | ||
| Helmut Drexler Germany | 79 | 15.2k 1.7× | 6.9k 0.8× | 6.5k 1.0× | 2.4k 0.7× | 3.5k 1.2× | 176 | 29.8k | ||
| Ryuichi Morishita Japan | 81 | 4.1k 0.5× | 11.1k 1.2× | 5.7k 0.9× | 1.9k 0.6× | 1.7k 0.6× | 586 | 25.4k | ||
| Duncan J. Stewart Canada | 70 | 6.3k 0.7× | 5.6k 0.6× | 3.8k 0.6× | 6.6k 1.9× | 3.3k 1.2× | 345 | 19.3k | ||
| Nikolaos G. Frangogiannis United States | 88 | 17.7k 2.0× | 13.6k 1.5× | 6.9k 1.1× | 2.2k 0.6× | 1.3k 0.4× | 178 | 30.9k | ||
| Mark L. Entman United States | 88 | 10.0k 1.1× | 10.4k 1.2× | 6.0k 0.9× | 1.2k 0.4× | 2.1k 0.7× | 295 | 23.9k | ||
| Ton J. Rabelink Netherlands | 81 | 6.9k 0.8× | 7.1k 0.8× | 4.9k 0.8× | 3.2k 0.9× | 1.5k 0.5× | 542 | 25.9k |
Countries citing papers authored by Keiichi Fukuda
Since
Specialization
Citations
This map shows the geographic impact of Keiichi Fukuda'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 Keiichi Fukuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keiichi Fukuda more than expected).
Fields of papers citing papers by Keiichi Fukuda
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Keiichi Fukuda. 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 Keiichi Fukuda. The network helps show where Keiichi Fukuda may publish in the future.
Co-authorship network of co-authors of Keiichi Fukuda
This figure shows the co-authorship network connecting the top 25 collaborators of Keiichi Fukuda. A scholar is included among the top collaborators of Keiichi Fukuda 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 Keiichi Fukuda. Keiichi Fukuda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Katsumata, Yoshinori, Genki Ichihara, Kotaro Miura, et al.. (2023). Predictors of Improvement in Exercise Tolerance After Balloon Pulmonary Angioplasty for Chronic Thromboembolic Pulmonary Hypertension. Journal of the American Heart Association. 12(3). e8137–e8137.
2.
Takatsuki, Seiji, Nobuhiro Ikemura, Takehiro Kimura, et al.. (2023). Prognostic Implications and Efficacy of Catheter Ablation by Atrial Fibrillation Type. Journal of the American Heart Association. 12(18). e029321–e029321.
3.
Tamura, Yuichi, Asuka Furukawa, Kenta Yamada, et al.. (2022). Long‐term safety of a structured transition protocol from parenteral prostanoids to selexipag in pulmonary arterial hypertension. Pulmonary Circulation. 12(1). e12058–e12058.
4.
Seki, Tomohisa, Dai Kusumoto, Hisayuki Hashimoto, et al.. (2022). Development of non-bias phenotypic drug screening for cardiomyocyte hypertrophy by image segmentation using deep learning. Biochemical and Biophysical Research Communications. 632. 181–188.
5.
Ikemura, Nobuhiro, Koki Nakanishi, John A. Spertus, et al.. (2022). Left Ventricular Diastolic Indices and Their Impact on Outcomes in Patients with Recently Diagnosed Atrial Fibrillation. Journal of Clinical Medicine. 11(19). 5732–5732.
6.
Takatsuki, Seiji, et al.. (2020). Anatomical changes in the pulmonary veins and left atrium after cryoballoon ablation. Pacing and Clinical Electrophysiology. 43(11). 1289–1294.
7.
Umei, Tomohiko, Hiroyuki Yamakawa, Naoto Muraoka, et al.. (2017). Single-Construct Polycistronic Doxycycline-Inducible Vectors Improve Direct Cardiac Reprogramming and Can Be Used to Identify the Critical Timing of Transgene Expression. International Journal of Molecular Sciences. 18(8). 1805–1805.
8.
Aizawa, Yoshifusa, Masafumi Nakayama, Masahito Sato, et al.. (2017). “J waves” induced after short coupling intervals: a manifestations of latent depolarization abnormality?. EP Europace. 20(FI1). f86–f92.
9.
Aizawa, Yoshiyasu, Yoshiyasu Aizawa, Seiji Takatsuki, et al.. (2016). Comparison of circadian, weekly, and seasonal variations of electrical storms and single events of ventricular fibrillation in patients with Brugada syndrome. IJC Heart & Vasculature. 11. 104–110.
10.
Isobe, Sarasa, et al.. (2016). Improved Survival of Patients with Pulmonary Arterial Hypertension with BMPR2 Mutations in the Last Decade. American Journal of Respiratory and Critical Care Medicine. 193(11). 1310–1314.
11.
Kohsaka, Shun, Hiroaki Miyata, Noboru Motomura, et al.. (2015). Effects of Preoperative β-Blocker Use on Clinical Outcomes after Coronary Artery Bypass Grafting. Anesthesiology. 124(1). 45–55.
12.
Kimura, Takehiro, Seiji Takatsuki, Kojiro Tanimoto, et al.. (2014). Thrombus Formation in the Left Atrial Appendage During Catheter Ablation for Atrial Fibrillation Under Sufficient Heparinization. Canadian Journal of Cardiology. 30(4). 465.e5–465.e6.
13.
Aizawa, Yoshifusa, Yoshifusa Aizawa, Akinori Sato, et al.. (2012). Dynamicity of the J-Wave in Idiopathic Ventricular Fibrillation With a Special Reference to Pause-Dependent Augmentation of the J-Wave. Journal of the American College of Cardiology. 59(22). 1948–1953.
14.
Anzai, Atsushi, Toshihisa Anzai, Shigenori Nagai, et al.. (2012). Regulatory Role of Dendritic Cells in Postinfarction Healing and Left Ventricular Remodeling. Circulation. 125(10). 1234–1245.
15.
Murata, Mitsushige, Mitsushige Murata, Shigeo Okuda, et al.. (2011). Quantitative Analysis of Right Ventricular Function in Patients With Pulmonary Hypertension Using Three-Dimensional Echocardiography and a Two-Dimensional Summation Method Compared to Magnetic Resonance Imaging. The American Journal of Cardiology. 107(3). 484–489.
16.
Patti, Giuseppe, Christopher P. Cannon, Sabina A. Murphy, et al.. (2011). Clinical Benefit of Statin Pretreatment in Patients Undergoing Percutaneous Coronary Intervention. Circulation. 123(15). 1622–1632.
17.
Egashira, Toru, Shinsuke Yuasa, Yohei Ohno, et al.. (2009). Abstract 2296: Generation of Induced Pluripotent Stem Cells in Healthy Volunteers and Patients With Hereditary Heart Disease. Circulation. 120.
18.
Fujita, Jun, Mitsuharu Mori, Hiroshi Kawada, et al.. (2007). Administration of Granulocyte Colony-Stimulating Factor After Myocardial Infarction Enhances the Recruitment of Hematopoietic Stem Cell-Derived Myofibroblasts and Contributes to Cardiac Repair. Stem Cells. 25(11). 2750–2759.
19.
Yada, Hirotaka, Mitsushige Murata, Kouji Shimoda, et al.. (2007). Dominant Negative Suppression of Rad Leads to QT Prolongation and Causes Ventricular Arrhythmias via Modulation of L-type Ca 2+ Channels in the Heart. Circulation Research. 101(1). 69–77.
20.
Takayama, Shinichiro, Yukio Horiuchi, Yoshiaki Toyama, et al.. (2001). Measurement of neurotrophic factors in denervated skeletal muscle and skin using RT-PCR/HPLC method. 11(1). 139–142.
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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