Bao-Wei Wang

2.2k citations
51 papers · 1.9k · h-index 26

Impact in

Papers in

Bao-Wei Wang

51 papers receiving 1.8k citations

Peers

Bao-Wei Wang
Comparison fields: 5 of 98
  • Cancer Research 366
  • Cardiology and Cardiovascular Medicine 269
  • Molecular Biology 866
  • Pharmacology 184
  • Immunology and Allergy 62
Replace Tianlun Yang with:
Tianlun Yang China
Nobuhiro Morisaki Japan
Talija Djordjevic Germany
Zhi‐Sheng Jiang China
Hidetsugu Matsushita Japan
Stephan Goetze Germany
Sandrine Besnard France
Michael B. Stemerman United States
Liya Yin United States
Yosuke Inagaki Japan
Bao-Wei Wang relative to Tianlun Yang China Tianlun Yang's profile →
Citations per field
00.5×2.7×
Tianlun Yang · 1×
Citations per year

Countries citing papers authored by Bao-Wei Wang

Since Specialization
Citations

This map shows the geographic impact of Bao-Wei 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 Bao-Wei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bao-Wei Wang more than expected).

Fields of papers citing papers by Bao-Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao-Wei 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 Bao-Wei Wang. The network helps show where Bao-Wei Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Bao-Wei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bao-Wei Wang Line = papers co-authored together Bao-Wei Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Berberine inhibits HIF-1alpha expression via enhanced proteolysis.
2004111
2 2003108
3 200381
4 200481
5 200176
6 200571
7 200569
8 200464
9 201064
10 200361
11 201461
12 200756
13 200752
14 200551
15 200746
16 200446
17 200545
18 200541
19 201138
20 200837

About Bao-Wei Wang

Bao-Wei Wang is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (12 papers), Cancer, Hypoxia, and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Lipid metabolism and disorders (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Coronary Interventions and Diagnostics (4 papers), Protease and Inhibitor Mechanisms (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Cancer Research (366 citations), Cardiology and Cardiovascular Medicine (269 citations), Molecular Biology (866 citations), Pharmacology (184 citations) and Immunology and Allergy (62 citations). Bao-Wei Wang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kou‐Gi Shyu, Hang Chang, Kou‐Gi Shyu, Peiliang Kuan, Chun-Chung Lee, Shankung Lin, Shiow-Chwen Tsai, Jer-Young Liou, Huei-Fong Hung and Huey‐Ming Lo. Their work appears in journals such as Journal of Biomedical Science, Clinical Science, Biochemical and Biophysical Research Communications, Journal of Agricultural and Food Chemistry and PLoS ONE.

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.

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