Bei Wang
Impact in
- Cell Biology top 10%
- Muscle metabolism and nutrition
- Pharmacology top 10%
- Coffee research and impacts
Papers in
- Genetics 7
- Estrogen and related hormone effects 4
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Shuo Zhang (1 shared paper)Kang Wu (1 shared paper)Chuan Fei Guo (1 shared paper)Jiajun Jiang (1 shared paper)Zhigang Wu (1 shared paper)Lynne Kammer (2 shared papers)John L. Ivy (2 shared papers)Zhenping Ding (2 shared papers)
- Journals
- Scientific Reports (2 papers)Journal of Inflammation Research (2 papers)PLoS ONE (2 papers)Development (1 paper)The Journal of Strength and Conditioning Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Bei Wang
25 papers receiving 562 citations
Peers
Comparison fields: 5 of 97
- Cell Biology 110
- Pharmacology 99
- Rehabilitation 35
- Cancer Research 44
- Biomedical Engineering 123
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 124 | |
| 2 | 2009 | 115 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 48 | |
| 5 | 2019 | 39 | |
| 6 | 2013 | 39 | |
| 7 | 2014 | 32 | |
| 8 | 2010 | 24 | |
| 9 | 2018 | 18 | |
| 10 | 2018 | 15 | |
| 11 | 2020 | 15 | |
| 12 | 2016 | 10 | |
| 13 | 2024 | 7 | |
| 14 | 2015 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2024 | 5 | |
| 17 | Significant prognostic values of aquaporin mRNA expression in breast cancer | 2019 | 5 |
| 18 | 2022 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2016 | 3 |
About Bei Wang
Bei Wang is a scholar working on Molecular Biology, Genetics, Oncology, Pathology and Forensic Medicine and Immunology, having authored 30 papers that have together received 576 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer Cells and Metastasis (2 papers), HER2/EGFR in Cancer Research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Muscle metabolism and nutrition (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Cell Biology (110 citations), Pharmacology (99 citations), Rehabilitation (35 citations), Cancer Research (44 citations) and Biomedical Engineering (123 citations). Bei Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shuo Zhang, Kang Wu, Chuan Fei Guo, Jiajun Jiang, Zhigang Wu, Lynne Kammer, John L. Ivy, Zhenping Ding, Jungyun Hwang and Yi-Hung Liao. Their work appears in journals such as Scientific Reports, Journal of Inflammation Research, PLoS ONE, Development and The Journal of Strength and Conditioning Research.
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.