John Yang
Impact in
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- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
- Cardiomyopathy and Myosin Studies
- Molecular Biology top 10%
- Signaling Pathways in Disease
- Muscle Physiology and Disorders
Papers in
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- Cardiac electrophysiology and arrhythmias 2
- Cardiovascular Function and Risk Factors 1
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- Signaling Pathways in Disease 5
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- R. Sanders Williams (5 shared papers)Beverly A. Rothermel (4 shared papers)Rhonda Bassel‐Duby (4 shared papers)Rick B. Vega (4 shared papers)Haiyan Wu (1 shared paper)Timothy A. McKinsey (2 shared papers)Eric N. Olson (2 shared papers)Daniel P. Kelly (3 shared papers)
- Journals
- Journal of Biological Chemistry (2 papers)Circulation Research (2 papers)Genetics in Medicine (1 paper)American Journal of Physiology-Heart and Circulatory Physiology (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesBrazilRussia
In The Last Decade
John Yang
9 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 77
- Cardiology and Cardiovascular Medicine 417
- Molecular Biology 1.1k
- Oncology 228
- Immunology 160
- Cellular and Molecular Neuroscience 141
Countries citing papers authored by John Yang
This map shows the geographic impact of John Yang'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 John Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Yang more than expected).
Fields of papers citing papers by John Yang
This network shows the impact of papers produced by John Yang. 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 John Yang. The network helps show where John Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside John Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 369 | |
| 2 | 2000 | 301 | |
| 3 | 2001 | 257 | |
| 4 | 2007 | 216 | |
| 5 | 2002 | 131 | |
| 6 | 2011 | 80 | |
| 7 | 2009 | 37 | |
| 8 | 2009 | 34 | |
| 9 | 2021 | 34 |
About John Yang
John Yang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Oncology, Immunology and Allergy and Surgery, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Cardiac Structural Anomalies and Repair (3 papers), Peptidase Inhibition and Analysis (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Blood Coagulation and Thrombosis Mechanisms (1 paper), Cell Adhesion Molecules Research (1 paper) and Cardiovascular Function and Risk Factors (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (417 citations), Molecular Biology (1.1k citations), Oncology (228 citations), Immunology (160 citations) and Cellular and Molecular Neuroscience (141 citations). John Yang has collaborated with scholars based in United States, Brazil and Russia. Frequent co-authors include R. Sanders Williams, Beverly A. Rothermel, Rhonda Bassel‐Duby, Rick B. Vega, Haiyan Wu, Timothy A. McKinsey, Eric N. Olson, Daniel P. Kelly, Norbert Frey and MICHAEL R. COURTOIS. Their work appears in journals such as Journal of Biological Chemistry, Circulation Research, Genetics in Medicine, American Journal of Physiology-Heart and Circulatory Physiology and American Journal Of Pathology.
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.