Wei Ma

2.9k citations
84 papers · 1.7k indexed · h-index 22

Wei Ma

76 papers receiving 1.7k citations

Peers

Wei Ma
Comparison fields: 5 of 153
  • Cancer Research 392
  • Biological Psychiatry 40
  • Molecular Biology 930
  • Endocrinology 59
  • Gastroenterology 54
Replace Ying Wan with:
Ying Wan China
Yingwei Chen China
Masato Ogata Japan
Yang Hu China
Hongyu Gao United States
Sunjae Lee South Korea
Shuo Chen China
Yushan Chen China
Hiroshi Ōyama Japan
Jae Young Choi South Korea
Wei Ma relative to Ying Wan China Ying Wan's profile →
Citations per field
00.5×3.9×
Ying Wan · 1×
Citations per year

Countries citing papers authored by Wei Ma

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20245
3 20241
4 20247
5 20242
6 20243
7 202321
8 202310
9 20222
10 202127
11 202020
12 20153
13 201533
14 201515
15 20141
16
High Performance Differential CMOS LNA Design for low-IF GPS Receiver
20090
17 200837
18
Cloud Modeling and Real Time Render Research
20071
19 200733
20
Linearity Analysis of Single and Double-Gate Silicon-On-Insulator Metal-Oxide-Semiconductor-Field-Effect-Transistor
20042

About Wei Ma

Wei Ma is a scholar working on Geriatrics and Gerontology, Molecular Medicine, Cancer Research, Electrical and Electronic Engineering and Molecular Biology, having authored 84 papers that have together received 1.7k indexed citations. Recurring topics across this work include Semiconductor materials and devices (9 papers), Advancements in Semiconductor Devices and Circuit Design (7 papers), Advanced MEMS and NEMS Technologies (6 papers), Cancer-related molecular mechanisms research (5 papers), Mechanical and Optical Resonators (4 papers), Advanced Vision and Imaging (4 papers), Gut microbiota and health (4 papers) and Silicon Carbide Semiconductor Technologies (4 papers). The work is most often cited by research in Cancer Research (392 citations), Biological Psychiatry (40 citations), Molecular Biology (930 citations), Endocrinology (59 citations) and Gastroenterology (54 citations). Wei Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qinghua Cui, Jichun Yang, Junyi Wang, Jianwei Li, Pan Zeng, Savaş Kaya, Bin Geng, Yi He, Juan Zhang and Juan Wang. Their work appears in journals such as Scientific Reports, Briefings in Bioinformatics, Measurement, IEEE Transactions on Visualization and Computer Graphics and Frontiers in Bioengineering and Biotechnology.

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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