Wang Wang
Impact in
- Pharmacology top 1%
- Apelin-related biomedical research
- Biological and pharmacological studies of plants
-
- Nuclear Receptors and Signaling
Papers in
- Pharmacology 16
- Apelin-related biomedical research 12
- Fungal Biology and Applications 2
- Surgery 11
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 11
- Co-authors
- Gavin Y. Oudit (12 shared papers)John C. Vederas (9 shared papers)Shaun M. K. McKinnie (6 shared papers)Vaibhav B. Patel (3 shared papers)Allan G. Murray (2 shared papers)Brent A. McLean (2 shared papers)Catherine Llorens‐Cortés (5 shared papers)Josef Penninger (3 shared papers)
In The Last Decade
Wang Wang
19 papers receiving 937 citations
Peers
Comparison fields: 5 of 95
- Pharmacology 585
- Cellular and Molecular Neuroscience 267
- Surgery 457
- Endocrinology, Diabetes and Metabolism 156
- Cardiology and Cardiovascular Medicine 190
Countries citing papers authored by Wang Wang
This map shows the geographic impact of Wang 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 Wang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Wang more than expected).
Fields of papers citing papers by Wang Wang
This network shows the impact of papers produced by Wang 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 Wang Wang. The network helps show where Wang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wang 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 | 2013 | 180 | |
| 2 | 2016 | 146 | |
| 3 | 2017 | 91 | |
| 4 | 2016 | 87 | |
| 5 | 2016 | 87 | |
| 6 | 2016 | 63 | |
| 7 | 2011 | 52 | |
| 8 | 2019 | 46 | |
| 9 | 2019 | 38 | |
| 10 | 2017 | 37 | |
| 11 | 2015 | 33 | |
| 12 | 2012 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2020 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2021 | 4 | |
| 18 | 2023 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 0 |
About Wang Wang
Wang Wang is a scholar working on Pharmacology, Surgery, Cellular and Molecular Neuroscience, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 947 indexed citations. Recurring topics across this work include Apelin-related biomedical research (12 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (11 papers), Nuclear Receptors and Signaling (9 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Sulfur-Based Synthesis Techniques (2 papers), Hormonal Regulation and Hypertension (2 papers), Fungal Biology and Applications (2 papers) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Pharmacology (585 citations), Cellular and Molecular Neuroscience (267 citations), Surgery (457 citations), Endocrinology, Diabetes and Metabolism (156 citations) and Cardiology and Cardiovascular Medicine (190 citations). Wang Wang has collaborated with scholars based in Canada, China and France. Frequent co-authors include Gavin Y. Oudit, John C. Vederas, Shaun M. K. McKinnie, Vaibhav B. Patel, Allan G. Murray, Brent A. McLean, Catherine Llorens‐Cortés, Josef Penninger, Zhen-Zhou Zhang and Jiuchang Zhong. Their work appears in journals such as Hypertension, Carbohydrate Polymers, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and International Journal of Biological Macromolecules.
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.