Wei Eric Wang

2.3k citations
51 papers · 1.8k · h-index 21

Impact in

Papers in

Wei Eric Wang

50 papers receiving 1.8k citations

Peers

Wei Eric Wang
Comparison fields: 5 of 100
  • Genetics 291
  • Cancer Research 231
  • Cardiology and Cardiovascular Medicine 303
  • Molecular Medicine 69
  • Molecular Biology 865
Replace Jianye Yang with:
Jianye Yang China
Rafael Moreno‐Luna Spain
Jing Zhu China
Seock‐Won Youn United States
Tomotake Tokunou Japan
Byeong‐Wook Song South Korea
Hiromitsu Kanamori Japan
Tao Tan United States
Norifumi Urao United States
Wei Eric Wang relative to Jianye Yang China Jianye Yang's profile →
Citations per field
00.5×2.8×
Jianye Yang · 1×
Citations per year

Countries citing papers authored by Wei Eric Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Eric Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Eric 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 Wei Eric Wang Line = papers co-authored together Wei Eric 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 2017225
2 2015189
3 2017177
4 2013122
5 201396
6 201595
7 201877
8 201972
9 201664
10 201758
11 201848
12 201844
13 201842
14 202435
15 202034
16 201331
17 201827
18 201424
19 202223
20 202122

About Wei Eric Wang

Wei Eric Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pathology and Forensic Medicine and Physiology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Congenital heart defects research (10 papers), Cardiac Fibrosis and Remodeling (7 papers), Signaling Pathways in Disease (5 papers), Tissue Engineering and Regenerative Medicine (5 papers), Nitric Oxide and Endothelin Effects (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Receptor Mechanisms and Signaling (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Genetics (291 citations), Cancer Research (231 citations), Cardiology and Cardiovascular Medicine (303 citations), Molecular Medicine (69 citations) and Molecular Biology (865 citations). Wei Eric Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Chunyu Zeng, Liangpeng Li, Xiongwen Chen, Dezhong Yang, Qiao Liao, Wenbin Fu, Xuewei Xia, Caiyu Chen, Rongchuan Yue and Hongyong Wang. Their work appears in journals such as Clinical Science, Acta Pharmacologica Sinica, Circulation, Hypertension Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

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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