Wei Eric Wang

2.3k citations
51 papers · 1.9k · h-index 22

Impact in

Papers in

Wei Eric Wang

50 papers receiving 1.9k citations

Peers

Wei Eric Wang
Comparison fields: 5 of 85
  • Genetics 359
  • Molecular Medicine 96
  • Cardiology and Cardiovascular Medicine 312
  • Molecular Biology 772
  • Pathology and Forensic Medicine 146
Replace Min‐Ji Cha with:
Min‐Ji Cha South Korea
Tomotake Tokunou Japan
Byeong‐Wook Song South Korea
Alicia N. Lyle United States
Xiaoqing Yan China
Tao Tan United States
Lina Kang China
Kazuhisa Kondo Japan
Fumihiro Sanada Japan
Zhaokang Cheng United States
Wei Eric Wang relative to Min‐Ji Cha South Korea Min‐Ji Cha's profile →
Citations per field
00.5×2×3×4×4.9×
Min‐Ji Cha · 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 2017230
2 2015191
3 2017182
4 2013122
5 201396
6 201596
7 201881
8 201978
9 201666
10 201758
11 201852
12 201846
13 202445
14 201842
15 202037
16 201936
17 201332
18 201828
19 202226
20 201424

About Wei Eric Wang

Wei Eric Wang is a scholar working on Cardiology and Cardiovascular Medicine, Genetics, Molecular Biology, Pathology and Forensic Medicine and Molecular Medicine, having authored 51 papers that have together received 1.9k indexed citations. Recurring topics across this work include Congenital heart defects research (14 papers), Mesenchymal stem cell research (8 papers), Cardiac Fibrosis and Remodeling (7 papers), Cardiac Ischemia and Reperfusion (6 papers), Renin-Angiotensin System Studies (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers). The work is most often cited by research in Genetics (359 citations), Molecular Medicine (96 citations), Cardiology and Cardiovascular Medicine (312 citations), Molecular Biology (772 citations) and Pathology and Forensic Medicine (146 citations). Wei Eric Wang has collaborated with scholars based in China and United States. Frequent co-authors include Chunyu Zeng, Liangpeng Li, Xiongwen Chen, Dezhong Yang, Qiao Liao, Wenbin Fu, Xuewei Xia, Caiyu Chen, Steven R. Houser and Rongchuan Yue. Their work appears in journals such as Clinical Science, Acta Pharmacologica Sinica, Hypertension Research, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease and Scientific Reports.

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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