Wei Meng

42 papers receiving 536 citations

Peers

Wei Meng
Comparison fields: 5 of 88
  • Sensory Systems 58
  • Cancer Research 94
  • Cardiology and Cardiovascular Medicine 75
  • Molecular Biology 203
  • Complementary and alternative medicine 22
Replace Darla L. Tharp with:
Darla L. Tharp United States
Lucas Bacmeister Germany
Guo‐Huang Hu China
Lauren Haar United States
Jin Guo China
Sara A. Murphy United States
Anna‐Karin Wihlborg Sweden
Takeshi Kiyoi Japan
Nicholas Stafford United Kingdom
Wei Meng relative to Darla L. Tharp United States Darla L. Tharp's profile →
Citations per field
00.5×2×3×3.9×
Darla L. Tharp · 1×
Citations per year

Countries citing papers authored by Wei Meng

Since Specialization
Citations

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

Fields of papers citing papers by Wei Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202280
2 202145
3 202443
4 202242
5 202040
6 202135
7 201332
8 202428
9 202025
10 202118
11 201713
12 201910
13 20159
14 20238
15 20228
16 20228
17 20158
18 20218
19 20157
20 20177

About Wei Meng

Wei Meng is a scholar working on Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Obstetrics and Gynecology, Oncology and Immunology, having authored 44 papers that have together received 540 indexed citations. Recurring topics across this work include Cardiac Ischemia and Reperfusion (5 papers), Cardiac Fibrosis and Remodeling (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Signaling Pathways in Disease (2 papers), Plant-based Medicinal Research (2 papers), Hearing, Cochlea, Tinnitus, Genetics (2 papers), Uterine Myomas and Treatments (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Sensory Systems (58 citations), Cancer Research (94 citations), Cardiology and Cardiovascular Medicine (75 citations), Molecular Biology (203 citations) and Complementary and alternative medicine (22 citations). Wei Meng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yihua Bei, Junjie Xiao, Yujiao Zhu, Zhenzhen Huang, Renjie Chai, Weijia Kong, Zuhong He, Yanyan Ding, Meiyu Hu and Jing Xu. Their work appears in journals such as Frontiers in Cell and Developmental Biology, The American Journal of Chinese Medicine, Journal of Cardiovascular Translational Research, Frontiers in Bioengineering and Biotechnology and Anti-Cancer Agents in Medicinal Chemistry.

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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