Bei Wang
Impact in
- Pharmacology top 10%
- Coffee research and impacts
-
- Muscle metabolism and nutrition
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 2
- Genetics 4
- Estrogen and related hormone effects 2
- Co-authors
- Zhigang Wu (1 shared paper)Jiajun Jiang (1 shared paper)Chuan Fei Guo (1 shared paper)Kang Wu (1 shared paper)Shuo Zhang (1 shared paper)John L. Ivy (2 shared papers)Lynne Kammer (2 shared papers)Zhenping Ding (2 shared papers)
- Journals
- PLoS ONE (2 papers)Journal of Inflammation Research (2 papers)Scientific Reports (2 papers)Animals (1 paper)Cancer Letters (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Bei Wang
25 papers receiving 573 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 96
- Cell Biology 94
- Rehabilitation 28
- Biomedical Engineering 125
- Cancer Research 38
Countries citing papers authored by Bei Wang
This map shows the geographic impact of Bei 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 Bei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Wang more than expected).
Fields of papers citing papers by Bei Wang
This network shows the impact of papers produced by Bei 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 Bei Wang. The network helps show where Bei Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 127 | |
| 2 | 2009 | 115 | |
| 3 | 2018 | 51 | |
| 4 | 2018 | 50 | |
| 5 | 2019 | 41 | |
| 6 | 2013 | 39 | |
| 7 | 2014 | 32 | |
| 8 | 2010 | 24 | |
| 9 | 2018 | 20 | |
| 10 | 2020 | 19 | |
| 11 | 2018 | 15 | |
| 12 | 2016 | 10 | |
| 13 | 2015 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2022 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2016 | 3 | |
| 20 | Analysis of Polishing Processing Parameters of Stainless Steel Curved Surface Based on Preston Equation | 2012 | 2 |
About Bei Wang
Bei Wang is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Oncology and Physiology, having authored 29 papers that have together received 587 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (2 papers), Cancer Cells and Metastasis (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers), Estrogen and related hormone effects (2 papers), Diet and metabolism studies (1 paper), Muscle metabolism and nutrition (1 paper) and Cardiac, Anesthesia and Surgical Outcomes (1 paper). The work is most often cited by research in Pharmacology (96 citations), Cell Biology (94 citations), Rehabilitation (28 citations), Biomedical Engineering (125 citations) and Cancer Research (38 citations). Bei Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhigang Wu, Jiajun Jiang, Chuan Fei Guo, Kang Wu, Shuo Zhang, John L. Ivy, Lynne Kammer, Zhenping Ding, Yi-Hung Liao and Jeffrey R. Bernard. Their work appears in journals such as PLoS ONE, Journal of Inflammation Research, Scientific Reports, Animals and Cancer Letters.
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.