Wei Eric Wang

1.8k citations
46 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Wei Eric Wang

45 papers receiving 1.3k citations

Peers

Wei Eric Wang
Comparison fields: 5 of 99
  • Cancer Research 224
  • Cardiology and Cardiovascular Medicine 335
  • Molecular Medicine 63
  • Molecular Biology 813
  • Genetics 116
Replace Xiaowei Wang with:
Xiaowei Wang China
Tao Tan United States
Xian Jin China
David A. Tulis United States
Norifumi Urao United States
Yu‐Pei Yuan China
Nathalie Mougenot France
Bao-Wei Wang Taiwan
Hiroe Toba Japan
Hitesh Peshavariya Australia
Wei Eric Wang relative to Xiaowei Wang China Xiaowei Wang's profile →
Citations per field
00.5×3.1×
Xiaowei Wang · 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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017209
2 2017173
3 201396
4 201592
5 201873
6 201970
7 201660
8 201758
9 201847
10 201841
11 202032
12 201327
13 202426
14 201826
15 201424
16 202221
17 202121
18 201419
19 201318
20 201915

About Wei Eric Wang

Wei Eric Wang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Molecular Medicine, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 46 papers that have together received 1.3k indexed citations. Recurring topics across this work include Congenital heart defects research (11 papers), Cardiac Fibrosis and Remodeling (8 papers), Signaling Pathways in Disease (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Acute Myocardial Infarction Research (5 papers), Tissue Engineering and Regenerative Medicine (4 papers), Nitric Oxide and Endothelin Effects (4 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Cancer Research (224 citations), Cardiology and Cardiovascular Medicine (335 citations), Molecular Medicine (63 citations), Molecular Biology (813 citations) and Genetics (116 citations). Wei Eric Wang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Chunyu Zeng, Qiao Liao, Dezhong Yang, Wenbin Fu, Xiongwen Chen, Liangpeng Li, Caiyu Chen, Xuewei Xia, Rongchuan Yue and Xiaoli Yang. Their work appears in journals such as Clinical Science, Acta Pharmacologica Sinica, Hypertension Research, Scientific Reports 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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