Danny Ling Wang

3.0k citations
36 papers · 2.5k indexed · h-index 28

Danny Ling Wang

36 papers receiving 2.5k citations

Peers

Danny Ling Wang
Comparison fields: 5 of 116
  • Geriatrics and Gerontology 263
  • Physiology 621
  • Cancer Research 327
  • Biochemistry 152
  • Cardiology and Cardiovascular Medicine 478
Replace Lijun Zhan with:
Lijun Zhan United States
Kousuke Noda Japan
Jian‐Xiong Chen United States
Being‐Sun Wung Taiwan
Marie‐Hélène Disatnik United States
Alejandra San Martín United States
Pascale Perret France
Congye Li China
Nathalie Augè France
Shali Chen Canada
Danny Ling Wang relative to Lijun Zhan United States Lijun Zhan's profile →
Citations per field
00.5×1.5×1.9×
Lijun Zhan · 1×
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-authorship network

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
#Work
1 20179
2 201527
3 2014250
4 2013154
5 201215
6 201132
7 200921
8 200842
9 200839
10 200671
11 200528
12 200557
13 200484
14 200464
15 2003127
16 200327
17 200245
18 2001102
19 200166
20 199021

About Danny Ling Wang

Danny Ling Wang is a scholar working on Immunology and Allergy, Physiology, Geriatrics and Gerontology, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 36 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (16 papers), Angiogenesis and VEGF in Cancer (7 papers), Renin-Angiotensin System Studies (6 papers), Cell Adhesion Molecules Research (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cytokine Signaling Pathways and Interactions (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Geriatrics and Gerontology (263 citations), Physiology (621 citations), Cancer Research (327 citations), Biochemistry (152 citations) and Cardiology and Cardiovascular Medicine (478 citations). Danny Ling Wang has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Jing‐Jy Cheng, Being‐Sun Wung, Bin Huang, Hsyue‐Jen Hsieh, Yuen‐Jen Chao, Neng‐Lang Shih, Tzu‐Hurng Cheng, Mei‐Kuang Lu, Yu‐Chi Liu and Jin-Jer Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Circulation Research, Journal of Cellular Physiology and Molecular Pharmacology.

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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