Michael Coronado

13 papers receiving 1.4k 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 · 557 citations
5570+3+6Years since publication100200300400500

Peers

Michael Coronado
Comparison fields: 5 of 119
  • Biological Psychiatry 82
  • Geriatrics and Gerontology 68
  • Physiology 83
  • Cardiology and Cardiovascular Medicine 309
  • Dermatology 94
Replace Shi‐Bei Wu with:
Shi‐Bei Wu Taiwan
Guobiao Liang China
Risheng Xu United States
Le Zhan United States
Chunjuan Song United States
Yahui Kong United States
Weiwei Zhang China
Alexander Navarrete Santos Germany
Kaili Ma China
Michael Coronado relative to Shi‐Bei Wu Taiwan Shi‐Bei Wu's profile →
Citations per field
00.5×8.4×
Shi‐Bei Wu · 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

13 of 13 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 →
2016557
2 2018371
3 2008205
4 2017100
5 201553
6 201638
7 201737
8 202024
9 202118
10 202214
11 20251
12 20191
13 20181

About Michael Coronado

Michael Coronado is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and Biological Psychiatry, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (2 papers), Pluripotent Stem Cells Research (2 papers), Mitochondrial Function and Pathology (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Tryptophan and brain disorders (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Neuroscience and Neural Engineering (1 paper) and Exercise and Physiological Responses (1 paper). The work is most often cited by research in Biological Psychiatry (82 citations), Geriatrics and Gerontology (68 citations), Physiology (83 citations), Cardiology and Cardiovascular Medicine (309 citations) and Dermatology (94 citations). Michael Coronado has collaborated with scholars based in United States, Norway and Brazil. Frequent co-authors include Daniel Bernstein, Joseph C. Wu, Sang‐Ging Ong, Joshua W. Knowles, Ramón Lavado, Xin Deng, Daniel Schlenk, Russ B. Altman, Yong Fuga Li and Elena Matsa. Their work appears in journals such as Biomedicines, Nature Medicine, Circulation, Journal of the American College of Cardiology 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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