Wayne Bond Lau
Impact in
-
- Cardiovascular Disease and Adiposity
- Cardiac Fibrosis and Remodeling
- Cardiovascular Function and Risk Factors
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Cardiovascular Disease and Adiposity 19
- Cardiac Fibrosis and Remodeling 9
- Physiology 44
- Adipose Tissue and Metabolism 32
- Co-authors
- Xinliang MaYajing WangErhe GaoWalter J. KochYuexing YuanTheodore A. ChristopherXiaoliang WangWei Yi
- Journals
- Circulation (14 papers)American Journal of Physiology-Endocrinology and Metabolism (9 papers)Circulation Research (8 papers)PLoS ONE (5 papers)Journal of Molecular and Cellular Cardiology (4 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Wayne Bond Lau
129 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cardiology and Cardiovascular Medicine 1.7k
- Cancer Research 852
- Physiology 1.3k
- Epidemiology 1.7k
- Molecular Biology 2.6k
Countries citing papers authored by Wayne Bond Lau
This map shows the geographic impact of Wayne Bond Lau'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 Wayne Bond Lau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Bond Lau more than expected).
Fields of papers citing papers by Wayne Bond Lau
This network shows the impact of papers produced by Wayne Bond Lau. 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 Wayne Bond Lau. The network helps show where Wayne Bond Lau may publish in the future.
Co-authors
The 25 scholars most cited alongside Wayne Bond Lau, 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 | 2023 | 18 | |
| 2 | 2021 | 46 | |
| 3 | 2020 | 77 | |
| 4 | 2020 | 24 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 144 | |
| 7 | 2018 | 60 | |
| 8 | 2018 | 67 | |
| 9 | 2016 | 33 | |
| 10 | 2016 | 144 | |
| 11 | 2016 | 145 | |
| 12 | 2015 | 20 | |
| 13 | 2015 | 2 | |
| 14 | 2013 | 24 | |
| 15 | 2013 | 4 | |
| 16 | 2012 | 27 | |
| 17 | 2011 | 1 | |
| 18 | 2010 | 41 | |
| 19 | 2010 | 32 | |
| 20 | 2008 | 45 |
About Wayne Bond Lau
Wayne Bond Lau is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Epidemiology, Internal Medicine and Pathology and Forensic Medicine, having authored 130 papers that have together received 6.0k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (39 papers), Adipose Tissue and Metabolism (32 papers), Cardiovascular Disease and Adiposity (19 papers), Cardiac Ischemia and Reperfusion (16 papers), Signaling Pathways in Disease (10 papers), Cardiac Fibrosis and Remodeling (9 papers), MicroRNA in disease regulation (9 papers) and Extracellular vesicles in disease (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.7k citations), Cancer Research (852 citations), Physiology (1.3k citations), Epidemiology (1.7k citations) and Molecular Biology (2.6k citations). Wayne Bond Lau has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Xinliang Ma, Yajing Wang, Erhe Gao, Walter J. Koch, Yuexing Yuan, Theodore A. Christopher, Xiaoliang Wang, Wei Yi, Ling Tao and Bernard L. Lopez. Their work appears in journals such as Circulation, American Journal of Physiology-Endocrinology and Metabolism, Circulation Research, PLoS ONE and Journal of Molecular and Cellular Cardiology.
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.