Zhao V. Wang
Impact in
- Physiology top 0.5%
- Adipose Tissue and Metabolism
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases
- Autophagy in Disease and Therapy
Papers in
- Aging 3
- Cell Biology 18
- Endoplasmic Reticulum Stress and Disease 17
- Co-authors
- Philipp E. SchererJoseph A. HillThomas G. GilletteIngrid Wernstedt AsterholmTayeba KhanSergio LavanderoNan JiangNils Halberg
- Journals
- Molecular Metabolism (5 papers)Circulation (4 papers)Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (4 papers)Nature Communications (3 papers)
- Partner nations
- United StatesChileChina
In The Last Decade
Zhao V. Wang
68 papers receiving 9.9k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Physiology 3.4k
- Epidemiology 4.1k
- Cardiology and Cardiovascular Medicine 2.5k
- Endocrine and Autonomic Systems 606
- Cell Biology 1.2k
Countries citing papers authored by Zhao V. Wang
This map shows the geographic impact of Zhao V. Wang'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 Zhao V. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhao V. Wang more than expected).
Fields of papers citing papers by Zhao V. Wang
This network shows the impact of papers produced by Zhao V. Wang. 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 Zhao V. Wang. The network helps show where Zhao V. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhao V. Wang, 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 | 2024 | 12 | |
| 2 | 2023 | 25 | |
| 3 | 2022 | 21 | |
| 4 | 2022 | 6 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 65 | |
| 7 | 2020 | 61 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 61 | |
| 10 | Doxorubicin Blocks Cardiomyocyte Autophagic Flux by Inhibiting Lysosome Acidification Hit paper breakdown → | 2016 | 359 |
| 11 | Adiponectin, the past two decades Hit paper breakdown → | 2016 | 456 |
| 12 | 2015 | 69 | |
| 13 | 2014 | 20 | |
| 14 | 2014 | 41 | |
| 15 | 2014 | 30 | |
| 16 | 2013 | 210 | |
| 17 | 2013 | 46 | |
| 18 | 2012 | 108 | |
| 19 | Hypoxia-Inducible Factor 1α Induces Fibrosis and Insulin Resistance in White Adipose Tissue Hit paper breakdown → | 2009 | 686 |
| 20 | 2008 | 180 |
About Zhao V. Wang
Zhao V. Wang is a scholar working on Aging, Cell Biology, Epidemiology, Physiology and Cardiology and Cardiovascular Medicine, having authored 68 papers that have together received 10.0k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (20 papers), Endoplasmic Reticulum Stress and Disease (17 papers), Adipokines, Inflammation, and Metabolic Diseases (15 papers), Autophagy in Disease and Therapy (13 papers), Pancreatic function and diabetes (12 papers), Metabolism, Diabetes, and Cancer (7 papers), Cardiovascular Function and Risk Factors (5 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Physiology (3.4k citations), Epidemiology (4.1k citations), Cardiology and Cardiovascular Medicine (2.5k citations), Endocrine and Autonomic Systems (606 citations) and Cell Biology (1.2k citations). Zhao V. Wang has collaborated with scholars based in United States, Chile and China. Frequent co-authors include Philipp E. Scherer, Joseph A. Hill, Thomas G. Gillette, Ingrid Wernstedt Asterholm, Tayeba Khan, Sergio Lavandero, Nan Jiang, Nils Halberg, Xiang Luo and Beverly A. Rothermel. Their work appears in journals such as Molecular Metabolism, Circulation, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Nature Communications.
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.