Michael Coronado

12 papers receiving 1.1k citations

Michael Coronado's Hit Papers

Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity 2016 · 533 citations
5330+3+6Years since publication100200300400500

Peers

Michael Coronado
Comparison fields: 5 of 102
  • Biological Psychiatry 82
  • Geriatrics and Gerontology 68
  • Cardiology and Cardiovascular Medicine 317
  • Physiology 62
  • Aging 15
Replace Yuxing Zhao with:
Yuxing Zhao China
Dan L. Li United States
Dong-Hyun Kim South Korea
Boris Manoury France
Renata O. Pereira United States
Federica Ciregia Italy
Qingsong Wang China
Andrea Lapucci Italy
Peng Teng China
Yue Du China
Michael Coronado relative to Yuxing Zhao China Yuxing Zhao's profile →
Citations per field
00.5×6.3×
Yuxing Zhao · 1×
Citations per year

Countries citing papers authored by Michael Coronado

Since Specialization
Citations

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

Fields of papers citing papers by Michael Coronado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Coronado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Coronado Line = papers co-authored together Michael Coronado links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Human induced pluripotent stem cell–derived cardiomyocytes recapitulate the predilection of breast cancer patients to doxorubicin-induced cardiotoxicity
Hit paper breakdown →
2016533
2 2018355
3 201794
4 201551
5 201637
6 201733
7 202023
8 202117
9 202213
10 20181
11 20191
12 20251

About Michael Coronado

Michael Coronado is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Surgery and Pathology and Forensic Medicine, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Cardiac Ischemia and Reperfusion (2 papers), Tryptophan and brain disorders (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Congenital Heart Disease Studies (2 papers), Pluripotent Stem Cells Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Biological Psychiatry (82 citations), Geriatrics and Gerontology (68 citations), Cardiology and Cardiovascular Medicine (317 citations), Physiology (62 citations) and Aging (15 citations). Michael Coronado has collaborated with scholars based in United States, India and Brazil. Frequent co-authors include Daniel Bernstein, Joseph C. Wu, Joshua W. Knowles, Elena Matsa, Ronald Witteles, Melinda L. Telli, Yong Fuga Li, Russ B. Altman, Antje Ebert and Helen M. Blau. Their work appears in journals such as Alzheimer s & Dementia, Nature Medicine, Cells, Circulation Research and Cell Reports.

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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