John Yang
Impact in
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- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Molecular Biology top 10%
- Signaling Pathways in Disease
- Muscle Physiology and Disorders
- Mitochondrial Function and Pathology
Papers in
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- Signaling Pathways in Disease 5
- Peroxisome Proliferator-Activated Receptors 2
- Protein Kinase Regulation and GTPase Signaling 1
- Ion channel regulation and function 1
- Genetics 2
- Genetics and Neurodevelopmental Disorders 1
- Estrogen and related hormone effects 1
- 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)Timothy A. McKinsey (2 shared papers)Haiyan Wu (1 shared paper)Eric N. Olson (2 shared papers)Daniel P. Kelly (3 shared papers)
- Journals
- Circulation Research (2 papers)Journal of Biological Chemistry (2 papers)Genetics in Medicine (1 paper)American Journal Of Pathology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United States
In The Last Decade
John Yang
9 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 62
- Cardiology and Cardiovascular Medicine 345
- Molecular Biology 901
- Biochemistry 44
- Cancer Research 75
- Physiology 90
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 | 367 | |
| 2 | 2000 | 300 | |
| 3 | 2001 | 254 | |
| 4 | 2007 | 216 | |
| 5 | 2002 | 131 | |
| 6 | 2011 | 80 | |
| 7 | 2009 | 37 | |
| 8 | 2021 | 36 | |
| 9 | 2009 | 34 |
About John Yang
John Yang is a scholar working on Molecular Biology, Genetics, Hematology, Cancer Research and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Protease and Inhibitor Mechanisms (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Ion channel regulation and function (1 paper), Estrogen and related hormone effects (1 paper) and Blood Coagulation and Thrombosis Mechanisms (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (345 citations), Molecular Biology (901 citations), Biochemistry (44 citations), Cancer Research (75 citations) and Physiology (90 citations). John Yang has collaborated with scholars based in United States. Frequent co-authors include R. Sanders Williams, Beverly A. Rothermel, Rhonda Bassel‐Duby, Rick B. Vega, Timothy A. McKinsey, Haiyan Wu, Eric N. Olson, Daniel P. Kelly, Norbert Frey and MICHAEL R. COURTOIS. Their work appears in journals such as Circulation Research, Journal of Biological Chemistry, Genetics in Medicine, American Journal Of Pathology and Proceedings of the National Academy of Sciences.
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.