Yoko Mikami

1.6k total citations
52 papers, 1.1k citations indexed

About

Yoko Mikami is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Yoko Mikami has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Cardiology and Cardiovascular Medicine, 28 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Surgery. Recurrent topics in Yoko Mikami's work include Cardiac Imaging and Diagnostics (27 papers), Cardiovascular Function and Risk Factors (18 papers) and Advanced MRI Techniques and Applications (12 papers). Yoko Mikami is often cited by papers focused on Cardiac Imaging and Diagnostics (27 papers), Cardiovascular Function and Risk Factors (18 papers) and Advanced MRI Techniques and Applications (12 papers). Yoko Mikami collaborates with scholars based in Canada, Japan and United States. Yoko Mikami's co-authors include James A. White, Andrew G. Howarth, Matthias G. Friedrich, Carmen Lydell, Bobak Heydari, Issei Komuro, Jacqueline Flewitt, Akiyoshi Uezumi, Toshinao Takahashi and Katsuhisa Matsuura and has published in prestigious journals such as Circulation, The Journal of Cell Biology and Journal of the American College of Cardiology.

In The Last Decade

Yoko Mikami

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yoko Mikami Canada	17	630	392	318	229	137	52	1.1k
Jean Guimond Canada	13	203 0.3×	181 0.5×	145 0.5×	85 0.4×	159 1.2×	30	639
Eun Jung Jun South Korea	15	149 0.2×	95 0.2×	244 0.8×	107 0.5×	104 0.8×	54	583
Stephen Pan United States	13	145 0.2×	40 0.1×	223 0.7×	134 0.6×	19 0.1×	45	544
Katelyn A. Bruno United States	16	239 0.4×	24 0.1×	98 0.3×	202 0.9×	85 0.6×	41	906
George Quick United States	13	155 0.2×	29 0.1×	119 0.4×	344 1.5×	33 0.2×	18	764
David Chiavegato Italy	10	350 0.6×	542 1.4×	80 0.3×	143 0.6×	232 1.7×	15	732
Antonio Pisano Italy	15	138 0.2×	27 0.1×	120 0.4×	226 1.0×	52 0.4×	35	589
Christopher D. Scott United States	17	398 0.6×	24 0.1×	417 1.3×	179 0.8×	114 0.8×	43	1.3k
Florence Hervatin France	12	57 0.1×	74 0.2×	204 0.6×	105 0.5×	120 0.9×	25	514
Naveed Akhtar United States	11	158 0.3×	228 0.6×	50 0.2×	87 0.4×	45 0.3×	40	607

Countries citing papers authored by Yoko Mikami

Since Specialization

Citations

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

Fields of papers citing papers by Yoko Mikami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoko Mikami

This figure shows the co-authorship network connecting the top 25 collaborators of Yoko Mikami. A scholar is included among the top collaborators of Yoko Mikami 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 Yoko Mikami. Yoko Mikami 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

Satriano, Alessandro, Steven Dykstra, Yoko Mikami, et al.. (2022). BASELINE LEFT VENTRICULAR CONTRACTILE STATE IS THE STRONGEST DETERMINANT OF FUTURE DROPS IN EJECTION FRACTION FROM CARDIOTOXIC CHEMOTHERAPY: A MACHINE LEARNING BASED CMR STUDY. Journal of the American College of Cardiology. 79(9). 1943–1943. 1 indexed citations

Dykstra, Steven, Alessandro Satriano, Lucy Y. Lei, et al.. (2022). Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information. Frontiers in Cardiovascular Medicine. 9. 998558–998558. 8 indexed citations

Dykstra, Steven, Yoko Mikami, Alessandro Satriano, et al.. (2022). Influence of Sex-Based Differences in Cardiac Phenotype on Atrial Fibrillation Recurrence in Patients Undergoing Pulmonary Vein Isolation. Frontiers in Cardiovascular Medicine. 9. 894592–894592. 1 indexed citations

Dykstra, Steven, Alessandro Satriano, Yoko Mikami, et al.. (2022). Machine Learning Patient-Specific Prediction of Heart Failure Hospitalization Using Cardiac MRI-Based Phenotype and Electronic Health Information. Frontiers in Cardiovascular Medicine. 9. 890904–890904. 5 indexed citations

Pagano, Joseph J., Kelvin Chow, Gavin Y. Oudit, et al.. (2021). Cardiac Remodelling Predicts Outcome in Patients with Chronic Heart Failure. ESC Heart Failure. 8(6). 5352–5362. 15 indexed citations

Pagano, Joseph J., Justin A. Ezekowitz, Gavin Y. Oudit, et al.. (2020). Layer-specific strain in patients with heart failure using cardiovascular magnetic resonance: not all layers are the same. Journal of Cardiovascular Magnetic Resonance. 22(1). 81–81. 28 indexed citations

Svystonyuk, Daniyil A., H.E. Mewhort, Ali Fatehi Hassanabad, et al.. (2020). Acellular bioscaffolds redirect cardiac fibroblasts and promote functional tissue repair in rodents and humans with myocardial injury. Scientific Reports. 10(1). 9459–9459. 26 indexed citations

Mikami, Yoko, Alessandro Satriano, Steven Dykstra, et al.. (2019). NATURAL HISTORY OF MYOCARDIAL INJURY AND CHAMBER REMODELLING IN ACUTE MYOCARDITIS: A 12-MONTH PROSPECTIVE COHORT STUDY USING CARDIOVASCULAR MAGNETIC RESONANCE IMAGING. Journal of the American College of Cardiology. 73(9). 1546–1546.

Satriano, Alessandro, Bobak Heydari, Matthew C. Cheung, et al.. (2019). 3-Dimensional regional and global strain abnormalities in hypertrophic cardiomyopathy. International journal of cardiac imaging. 35(10). 1913–1924. 15 indexed citations

10.

Avitzur, N., Alessandro Satriano, Yoko Mikami, et al.. (2018). 3D myocardial deformation analysis from cine MRI as a marker of amyloid protein burden in cardiac amyloidosis: validation versus T1 mapping. International journal of cardiac imaging. 34(12). 1937–1946. 10 indexed citations

11.

Murata, Yusuke, Hiroko Matsuda, Yoko Mikami, et al.. (2018). Chronic administration of quetiapine stimulates dorsal hippocampal proliferation and immature neurons of male rats, but does not reverse psychosocial stress-induced hyponeophagic behavior. Psychiatry Research. 272. 411–418. 4 indexed citations

12.

Miller, Robert J.H., Danielle A. Southern, Mei Zhang, et al.. (2017). LV Mass Independently Predicts Mortality and Need for Future Revascularization in Patients Undergoing Diagnostic Coronary Angiography. JACC. Cardiovascular imaging. 11(3). 423–433. 28 indexed citations

13.

Mikami, Yoko, Immaculate Nevis, David McCarty, et al.. (2017). Contribution of mitral valve leaflet length and septal wall thickness to outflow tract obstruction in patients with hypertrophic cardiomyopathy. International journal of cardiac imaging. 33(8). 1201–1211. 8 indexed citations

14.

Miller, Robert J.H., Yoko Mikami, Andrew G. Howarth, et al.. (2017). DEFINING RISK ASSOCIATED WITH LEFT VENTRICULAR HYPERTROPHY PATTERNS AS ASSESSED BY CARDIAC MAGNETIC RESONANCE IMAGING. Journal of the American College of Cardiology. 69(11). 1440–1440. 1 indexed citations

15.

Satriano, Alessandro, Bobak Heydari, Derek V. Exner, et al.. (2017). Clinical feasibility and validation of 3D principal strain analysis from cine MRI: comparison to 2D strain by MRI and 3D speckle tracking echocardiography. International journal of cardiac imaging. 33(12). 1979–1992. 38 indexed citations

16.

Mikami, Yoko, Louis Kolman, John Stirrat, et al.. (2014). Accuracy and reproducibility of semi-automated late gadolinium enhancement quantification techniques in patients with hypertrophic cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 16(1). 85–85. 83 indexed citations

17.

Flewitt, Jacqueline, et al.. (2013). Assessment of acute myocarditis by cardiovascular MR: diagnostic performance of shortened protocols. International journal of cardiac imaging. 29(5). 1077–1083. 49 indexed citations

18.

Shiina, Yumi, Nobusada Funabashi, Masae Uehara, et al.. (2008). Suitable solutions for reconstituting the ultrasound contrast agent “Levovist” used in contrast echocardiogram: In vitro and in vivo evaluation of the influence of osmotic pressure. International Journal of Cardiology. 136(3). 335–340. 1 indexed citations

19.

Wada, Hiroshi, Toshio Nagai, Tomomi Oyama, et al.. (2006). PE-611 Estrogen Receptor Alpha is More Actively Involved in the Cardiac VEGF/KDR/NO Pathway Compared to Estrogen Receptor Beta in Female Mice(Neurohumoral factors-2 (H) PE108,Poster Session (English),The 70th Anniversary Annual Scientific Meeting of the Japanese Circulation Society). Japanese Circulation Journal-english Edition. 70. 483–484. 1 indexed citations

20.

Mikami, Yoko, et al.. (1994). A Case of TSS Complicated with SSSS in an Adult with Liver Cirrhosis. Kansenshogaku zasshi. 68(11). 1421–1427. 2 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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