Bao-Wei Wang

2.0k total citations
47 papers, 1.6k citations indexed

About

Bao-Wei Wang is a scholar working on Molecular Biology, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Bao-Wei Wang has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 18 papers in Cancer Research and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Bao-Wei Wang's work include Angiogenesis and VEGF in Cancer (11 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Bao-Wei Wang is often cited by papers focused on Angiogenesis and VEGF in Cancer (11 papers), Cancer, Hypoxia, and Metabolism (8 papers) and Adipokines, Inflammation, and Metabolic Diseases (7 papers). Bao-Wei Wang collaborates with scholars based in Taiwan, United States and India. Bao-Wei Wang's co-authors include Kou‐Gi Shyu, Hang Chang, Kou‐Gi Shyu, Peiliang Kuan, Chun-Chung Lee, Shankung Lin, Jer-Young Liou, Shiow-Chwen Tsai, Huei-Fong Hung and Huey‐Ming Lo and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Biochemical and Biophysical Research Communications.

In The Last Decade

Bao-Wei Wang

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bao-Wei Wang Taiwan 25 845 393 268 249 181 47 1.6k
Stephan Goetze Germany 22 1.3k 1.6× 385 1.0× 396 1.5× 261 1.0× 246 1.4× 38 2.1k
Chi Dae Kim South Korea 26 811 1.0× 248 0.6× 270 1.0× 202 0.8× 127 0.7× 74 2.0k
Hidetsugu Matsushita Japan 19 694 0.8× 339 0.9× 323 1.2× 351 1.4× 102 0.6× 27 1.8k
Zouher Majd France 15 864 1.0× 275 0.7× 164 0.6× 354 1.4× 158 0.9× 24 1.5k
Rachida S. BelAiba Germany 15 822 1.0× 632 1.6× 220 0.8× 247 1.0× 121 0.7× 18 2.0k
Rongrong Cui China 25 885 1.0× 411 1.0× 156 0.6× 328 1.3× 371 2.0× 59 1.8k
Lucas Treps France 16 1.2k 1.4× 686 1.7× 127 0.5× 172 0.7× 112 0.6× 28 1.9k
Talija Djordjevic Germany 15 711 0.8× 462 1.2× 223 0.8× 198 0.8× 134 0.7× 16 1.8k
Donna S. Woulfe United States 25 817 1.0× 161 0.4× 586 2.2× 197 0.8× 124 0.7× 37 2.3k
Oscar L. Volger Netherlands 22 1.1k 1.3× 231 0.6× 215 0.8× 340 1.4× 64 0.4× 32 1.8k

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-authorship network of co-authors of Bao-Wei Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Bao-Wei Wang. A scholar is included among the top collaborators of Bao-Wei Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bao-Wei Wang. Bao-Wei Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Bao-Wei, et al.. (2017). Effects of flavonoids on MicroRNA 145 regulation through Klf4 and myocardin in neointimal formation in vitro and in vivo. The Journal of Nutritional Biochemistry. 52. 27–35. 11 indexed citations
2.
Chua, Su-Kiat, et al.. (2016). Mechanical Stretch Inhibits MicroRNA499 via p53 to Regulate Calcineurin-A Expression in Rat Cardiomyocytes. PLoS ONE. 11(2). e0148683–e0148683. 16 indexed citations
3.
4.
Shyu, Kou‐Gi, et al.. (2014). MicroRNA-208a Increases Myocardial Endoglin Expression and Myocardial Fibrosis in Acute Myocardial Infarction. Canadian Journal of Cardiology. 31(5). 679–690. 58 indexed citations
5.
Wu, Gong‐Jhe, et al.. (2012). Regulation of PUMA induced by mechanical stress in rat cardiomyocytes. Journal of Biomedical Science. 19(1). 72–72. 11 indexed citations
6.
Wang, Bao-Wei, et al.. (2011). Mechanical stretch induces the apoptosis regulator PUMA in vascular smooth muscle cells. Cardiovascular Research. 93(1). 181–189. 38 indexed citations
7.
Shyu, Kou‐Gi, et al.. (2010). Cyclic stretch enhances the expression of Toll-like Receptor 4 gene in cultured cardiomyocytes via p38 MAP kinase and NF-κB pathway. Journal of Biomedical Science. 17(1). 15–15. 26 indexed citations
8.
Chen, Chao‐Yi, et al.. (2009). Comparison of PPARδ and PPARγ in inhibiting the pro-inflammatory effects of C-reactive protein in endothelial cells. International Journal of Cardiology. 143(3). 361–367. 21 indexed citations
9.
Hung, Huei-Fong, Bao-Wei Wang, Hang Chang, & Kou‐Gi Shyu. (2008). The molecular regulation of resistin expression in cultured vascular smooth muscle cells under hypoxia. Journal of Hypertension. 26(12). 2349–2360. 20 indexed citations
10.
Shyu, Kou‐Gi, Huei-Fong Hung, Bao-Wei Wang, & Hang Chang. (2008). Hyperbaric oxygen induces placental growth factor expression in bone marrow-derived mesenchymal stem cells. Life Sciences. 83(1-2). 65–73. 20 indexed citations
11.
Wang, Bao-Wei, et al.. (2008). Human Mesenchymal Stem Cells Improve Myocardial Performance in a Splenectomized Rat Model of Chronic Myocardial Infarction. Journal of the Formosan Medical Association. 107(2). 165–174. 21 indexed citations
12.
Shyu, Kou‐Gi, et al.. (2007). Hypoxia-inducible factor 1α regulates lung adenocarcinoma cell invasion. Experimental Cell Research. 313(6). 1181–1191. 55 indexed citations
13.
Wang, Bao-Wei, Huei-Fong Hung, Hang Chang, Peiliang Kuan, & Kou‐Gi Shyu. (2007). Mechanical stretch enhances the expression of resistin gene in cultured cardiomyocytes via tumor necrosis factor-α. American Journal of Physiology-Heart and Circulatory Physiology. 293(4). H2305–H2312. 42 indexed citations
14.
Liou, Jer-Young, et al.. (2006). Pericardial Fluid and Serum Levels of Vascular Endothelial Growth Factor and Endostatin in Patients With or Without Coronary Artery Disease. Journal of the Formosan Medical Association. 105(5). 377–383. 16 indexed citations
15.
16.
Lee, Chun-Chung, et al.. (2005). Hyperbaric oxygen induces VEGF expression through ERK, JNK and c-Jun/AP-1 activation in human umbilical vein endothelial cells. Journal of Biomedical Science. 13(1). 143–156. 69 indexed citations
17.
Shyu, Kou‐Gi, et al.. (2004). Enhanced expression of angiopoietin-2 and the Tie2 receptor but not angiopoietin-1 or the Tie1 receptor in a rat model of myocardial infarction. Journal of Biomedical Science. 11(2). 163–171. 12 indexed citations
18.
Shyu, Kou‐Gi, Hang Chang, Bao-Wei Wang, & Peiliang Kuan. (2003). Intramuscular vascular endothelial growth factor gene therapy in patients with chronic critical leg ischemia. The American Journal of Medicine. 114(2). 85–92. 99 indexed citations
19.
Chang, Hang, Kou‐Gi Shyu, Shankung Lin, et al.. (2003). The Plasminogen Activator Inhibitor-1 Gene Is Induced by Cell Adhesion through the MEK/ERK Pathway. Journal of Biomedical Science. 10(6). 738–745. 15 indexed citations
20.
Lee, Chun-Chung, et al.. (2002). Cell Adhesion Regulates the Plasminogen Activator Inhibitor-1 Gene Expression in Anchorage-Dependent Cells. Biochemical and Biophysical Research Communications. 291(1). 185–190. 10 indexed citations

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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