Yuichi J. Shimada

2.5k total citations
86 papers, 1.7k citations indexed

About

Yuichi J. Shimada is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Yuichi J. Shimada has authored 86 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Cardiology and Cardiovascular Medicine, 19 papers in Surgery and 18 papers in Molecular Biology. Recurrent topics in Yuichi J. Shimada's work include Cardiomyopathy and Myosin Studies (39 papers), Cardiovascular Function and Risk Factors (30 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Yuichi J. Shimada is often cited by papers focused on Cardiomyopathy and Myosin Studies (39 papers), Cardiovascular Function and Risk Factors (30 papers) and Atrial Fibrillation Management and Outcomes (11 papers). Yuichi J. Shimada collaborates with scholars based in United States, Japan and South Korea. Yuichi J. Shimada's co-authors include Takahiro Shiota, Kohei Hasegawa, Robert J. Siegel, Maiko Shiota, Yusuke Tsugawa, Christopher P. Cannon, Michael A. Fifer, Carlos A. Camargo, David Brown and Matthew J. Maurer and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and CHEST Journal.

In The Last Decade

Yuichi J. Shimada

80 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yuichi J. Shimada United States	23	1.2k	355	313	276	217	86	1.7k
Ulla Derhaschnig Austria	26	675 0.6×	304 0.9×	92 0.3×	268 1.0×	186 0.9×	69	1.7k
Moti Haim Israel	23	1.0k 0.8×	302 0.9×	107 0.3×	305 1.1×	156 0.7×	107	1.7k
Pı̈erre Ambrosi France	18	862 0.7×	512 1.4×	292 0.9×	693 2.5×	207 1.0×	71	1.8k
Rui Baptista Portugal	17	463 0.4×	135 0.4×	281 0.9×	95 0.3×	149 0.7×	99	877
M. Carrier Canada	18	686 0.6×	801 2.3×	253 0.8×	210 0.8×	65 0.3×	112	1.4k
Carlos Jardim Brazil	22	643 0.5×	129 0.4×	1.1k 3.4×	129 0.5×	66 0.3×	74	1.6k
Shirjel Alam United Kingdom	19	885 0.7×	667 1.9×	236 0.8×	248 0.9×	146 0.7×	37	2.1k
Aureli Esquerda Spain	25	338 0.3×	389 1.1×	1.5k 4.7×	207 0.8×	66 0.3×	63	2.0k
HR Büller Netherlands	10	540 0.4×	413 1.2×	172 0.5×	297 1.1×	97 0.4×	18	1.6k
Michael D. Tarantino United States	31	179 0.1×	494 1.4×	203 0.6×	78 0.3×	190 0.9×	127	2.6k

Countries citing papers authored by Yuichi J. Shimada

Since Specialization

Citations

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

Fields of papers citing papers by Yuichi J. Shimada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuichi J. Shimada. 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 Yuichi J. Shimada. The network helps show where Yuichi J. Shimada may publish in the future.

Co-authorship network of co-authors of Yuichi J. Shimada

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

All Works

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20 of 20 papers shown

Akita, Keitaro, Kohei Hasegawa, Michael A. Fifer, et al.. (2025). Plasma SVEP1 Levels Predict Cardiovascular Events in Hypertrophic Cardiomyopathy Beyond Conventional Clinical Risk Models Including NT-proBNP. Circulation Heart Failure. 18(2). e012343–e012343.

Lumish, Heidi, Lorenzo R. Sewanan, Lusha W. Liang, et al.. (2025). Comprehensive Plasma Proteomic Profiling Reveals Differentially Regulated Signaling Pathways Underlying Left Ventricular Hypertrophy Between Hypertrophic Cardiomyopathy and Aortic Stenosis. Journal of Cardiovascular Translational Research. 18(3). 650–659.

Akita, Keitaro, Kohei Hasegawa, Michael A. Fifer, et al.. (2024). Prediction of cardiac death in patients with hypertrophic cardiomyopathy using plasma adipokine levels. Nutrition Metabolism and Cardiovascular Diseases. 34(6). 1352–1360. 2 indexed citations

Lumish, Heidi, Kohei Hasegawa, Matthew J. Maurer, et al.. (2024). Prediction of New-Onset Atrial Fibrillation in Patients with Hypertrophic Cardiomyopathy Using Machine Learning. European Journal of Heart Failure. 27(2). 275–284. 4 indexed citations

Liang, Lusha W., Kohei Hasegawa, Mathew S. Maurer, et al.. (2024). Prediction of new-onset atrial fibrillation in patients with hypertrophic cardiomyopathy using plasma proteomics profiling. EP Europace. 26(11).

Akita, Keitaro, Mathew S. Maurer, Albree Tower‐Rader, Michael A. Fifer, & Yuichi J. Shimada. (2024). Comprehensive Proteomics Profiling Identifies Circulating Biomarkers to Distinguish Hypertrophic Cardiomyopathy From Other Cardiomyopathies With Left Ventricular Hypertrophy. Circulation Heart Failure. 18(1). e012434–e012434. 3 indexed citations

Lumish, Heidi, Lusha W. Liang, Kohei Hasegawa, et al.. (2023). Prediction of worsening heart failure in hypertrophic cardiomyopathy using plasma proteomics. Heart. 109(24). 1837–1843. 7 indexed citations

Liang, Lusha W., Kohei Hasegawa, Matthew J. Maurer, et al.. (2023). Comprehensive Transcriptomics Profiling of MicroRNA Reveals Plasma Circulating Biomarkers of Hypertrophic Cardiomyopathy and Dysregulated Signaling Pathways. Circulation Heart Failure. 16(6). e010010–e010010. 7 indexed citations

Sewanan, Lorenzo R. & Yuichi J. Shimada. (2022). Prospects for remodeling the hypertrophic heart with myosin modulators. Frontiers in Cardiovascular Medicine. 9. 1051564–1051564. 4 indexed citations

10.

Shimada, Yuichi J., Yoshihiko Raita, Lusha W. Liang, et al.. (2022). Prediction of Major Adverse Cardiovascular Events in Patients With Hypertrophic Cardiomyopathy Using Proteomics Profiling. Circulation Genomic and Precision Medicine. 15(6). e003546–e003546. 8 indexed citations

11.

Shimada, Yuichi J., Yoshihiko Raita, Lusha W. Liang, et al.. (2021). Comprehensive Proteomics Profiling Reveals Circulating Biomarkers of Hypertrophic Cardiomyopathy. Circulation Heart Failure. 14(7). e007849–e007849. 38 indexed citations

12.

Liang, Lusha W., Michael A. Fifer, Kohei Hasegawa, et al.. (2021). Prediction of Genotype Positivity in Patients With Hypertrophic Cardiomyopathy Using Machine Learning. Circulation Genomic and Precision Medicine. 14(3). e003259–e003259. 11 indexed citations

13.

Kuno, Toshiki, Hisato Takagi, Tomo Ando, et al.. (2020). Oral Anticoagulation for Patients With Atrial Fibrillation on Long-Term Dialysis. Journal of the American College of Cardiology. 75(3). 273–285. 110 indexed citations

14.

Shimada, Yuichi J., et al.. (2019). Myocardial Contraction Fraction Predicts Cardiovascular Events in Patients With Hypertrophic Cardiomyopathy and Normal Ejection Fraction. Journal of Cardiac Failure. 25(6). 450–456. 17 indexed citations

15.

Shimada, Yuichi J., Tadahiro Goto, Yusuke Tsugawa, et al.. (2019). Comparative effectiveness of gastric bypass versus gastric banding on acute care use for cardiovascular disease in adults with obesity. Nutrition Metabolism and Cardiovascular Diseases. 29(5). 518–526. 1 indexed citations

16.

Shimada, Yuichi J., Tadahiro Goto, Hiroo Takayama, et al.. (2019). Comparison of Effectiveness of Alcohol Septal Ablation Versus Ventricular Septal Myectomy on Acute Care Use for Cardiovascular Disease in Patients With Hypertrophic Cardiomyopathy. The American Journal of Cardiology. 124(8). 1272–1278. 2 indexed citations

17.

Shimada, Yuichi J., Kohei Hasegawa, Stephanie M. Kochav, et al.. (2019). Application of Proteomics Profiling for Biomarker Discovery in Hypertrophic Cardiomyopathy. Journal of Cardiovascular Translational Research. 12(6). 569–579. 22 indexed citations

18.

Raita, Yoshihiko, Carlos A. Camargo, Mohammad Kamal Faridi, et al.. (2019). Risk of Acute Myocardial Infarction and Ischemic Stroke in Patients with Asthma Exacerbation: A Population-Based, Self-Controlled Case Series Study. The Journal of Allergy and Clinical Immunology In Practice. 8(1). 188–194.e8. 19 indexed citations

19.

Watanabe, Yuko, et al.. (2016). Transforming Growth Factor-β1 as a Predictor for the Development of Hepatocellular Carcinoma: A Nested Case–Controlled Study. EBioMedicine. 12. 68–71. 15 indexed citations

20.

Yamashita, Takeshi, Yukihiro Koretsune, Yuejin Yang, et al.. (2016). Edoxaban vs. Warfarin in East Asian Patients With Atrial Fibrillation　– An ENGAGE AF-TIMI 48 Subanalysis –. Circulation Journal. 80(4). 860–869. 72 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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