Danny Ling Wang

3.0k citations
36 papers · 2.6k · h-index 28

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 7
    • Protein Kinase Regulation and GTPase Signaling 3
    • Nitric Oxide and Endothelin Effects 15

Danny Ling Wang

36 papers receiving 2.5k citations

Peers

Danny Ling Wang
Comparison fields: 5 of 114
  • Geriatrics and Gerontology 249
  • Physiology 559
  • Cardiology and Cardiovascular Medicine 404
  • Cancer Research 275
  • Biochemistry 137
Replace Lijun Zhan with:
Lijun Zhan United States
Kousuke Noda Japan
Jian‐Xiong Chen United States
Ping Song China
Marie‐Hélène Disatnik United States
Shali Chen Canada
Alejandra San Martín United States
Nathalie Augè France
Pascale Perret France
Qi-Qun Tang China
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Citations per field
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Citations per year

Countries citing papers authored by Danny Ling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Danny Ling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danny Ling 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 Danny Ling Wang. The network helps show where Danny Ling Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Danny Ling 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 Danny Ling Wang Line = papers co-authored together Danny Ling Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013380
2 2014258
3 2013155
4 2003127
5 1995105
6 2001102
7 201496
8 199694
9 200192
10 199888
11 200485
12 200783
13 200176
14 200975
15 200672
16 200166
17 200464
18 199561
19 200557
20 200557

About Danny Ling Wang

Danny Ling Wang is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Immunology and Immunology and Allergy, having authored 36 papers that have together received 2.6k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (15 papers), Angiogenesis and VEGF in Cancer (7 papers), Cell Adhesion Molecules Research (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Renin-Angiotensin System Studies (5 papers), Cytokine Signaling Pathways and Interactions (4 papers), Protease and Inhibitor Mechanisms (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Geriatrics and Gerontology (249 citations), Physiology (559 citations), Cardiology and Cardiovascular Medicine (404 citations), Cancer Research (275 citations) and Biochemistry (137 citations). Danny Ling Wang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Shyan-Shu Shieh, Jing‐Jy Cheng, Being‐Sun Wung, Bin Huang, Hsyue‐Jen Hsieh, Yuen‐Jen Chao, Tzu‐Hurng Cheng, Neng‐Lang Shih, Mei‐Kuang Lu and Yu‐Chi Liu. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Hypertension, Molecular Pharmacology and Circulation 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.

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