Hua Wei

1.2k citations
46 papers · 809 indexed · h-index 16

Impact in

Papers in

Hua Wei

42 papers receiving 789 citations

Peers

Hua Wei
Comparison fields: 5 of 116
  • Genetics 74
  • Cardiology and Cardiovascular Medicine 148
  • Molecular Biology 408
  • Cancer Research 87
  • Cellular and Molecular Neuroscience 105
Replace Erynn S. Gordon with:
Erynn S. Gordon United States
Yijun Liu China
Hongsheng Xie China
Qing Ke China
Jennifer Harman United States
Alice Rossi Italy
Federica Invernizzi Italy
Shinobu Yamaguchi Japan
Misha Angrist United States
Hua Wei relative to Erynn S. Gordon United States Erynn S. Gordon's profile →
Citations per field
00.5×1.5×2.3×
Erynn S. Gordon · 1×
Citations per year

Countries citing papers authored by Hua Wei

Since Specialization
Citations

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

Fields of papers citing papers by Hua Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20240
5 20235
6 202115
7 202024
8 201814
9 201817
10 201827
11 20182
12 20165
13 201529
14 201313
15 201380
16
Mediation Role of Self-control Between Internet Game Addiction and Self-esteem
20127
17 201214
18
Nifekalant hydrochloride terminating sustained ventricular tachycardia accompanied with QT dispersion prolongation.
20102
19 201032
20 2010136

About Hua Wei

Hua Wei is a scholar working on Cardiology and Cardiovascular Medicine, Physiology, Cellular and Molecular Neuroscience, Genetics and Rehabilitation, having authored 46 papers that have together received 809 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Neuroscience and Neural Engineering (6 papers), Mesenchymal stem cell research (4 papers), Cardiac Arrhythmias and Treatments (4 papers), Impact of Technology on Adolescents (4 papers), Autophagy in Disease and Therapy (4 papers), Pancreatic function and diabetes (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Genetics (74 citations), Cardiology and Cardiovascular Medicine (148 citations), Molecular Biology (408 citations), Cancer Research (87 citations) and Cellular and Molecular Neuroscience (105 citations). Hua Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiangfeng Cong, Zongwei Li, Shengshou Hu, Xi Chen, Martin Morad, Zongkui Zhou, Yongxin Zhang, Tomo Šarić, Lars Nilausen Cleemann and Feng Huang. Their work appears in journals such as Cell Calcium, Journal of Cellular Biochemistry, Molecules, Biophysical Journal and Diabetes.

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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