Wei Ma

1.6k citations
82 papers · 1.2k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • RNA modifications and cancer
    • Natural product bioactivities and synthesis

Papers in

    • Circular RNAs in diseases 6
    • RNA modifications and cancer 5
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 7

Wei Ma

79 papers receiving 1.2k citations

Peers

Wei Ma
Comparison fields: 5 of 114
  • Cancer Research 243
  • Molecular Biology 486
  • Biochemistry 38
  • Rheumatology 72
  • Complementary and alternative medicine 39
Replace Yang Tan with:
Yang Tan China
Kimie Tanaka Japan
Weiping Wang China
Ke Li China
Feride İffet Şahin Türkiye
Zhipeng Zou China
Hongmei Ding China
Shu Li China
Tomohiro Mizutani Japan
Kheirollah Yari Iran
Wei Ma relative to Yang Tan China Yang Tan's profile →
Citations per field
00.5×2.7×
Yang Tan · 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-authors

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

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014118
2 201273
3 201551
4 202045
5 201639
6 201838
7 201738
8 202131
9 201830
10
Bone sialoprotein promotes bone metastasis of a non-bone-seeking clone of human breast cancer cells.
200430
11 200728
12 202125
13 201725
14 200924
15 202224
16 201923
17 201423
18 201622
19 201721
20 201820

About Wei Ma

Wei Ma is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Public Health, Environmental and Occupational Health, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spinal Dysraphism and Malformations (9 papers), MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (7 papers), Bone Tissue Engineering Materials (6 papers), Circular RNAs in diseases (6 papers), Mesenchymal stem cell research (5 papers), Dental Implant Techniques and Outcomes (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (243 citations), Molecular Biology (486 citations), Biochemistry (38 citations), Rheumatology (72 citations) and Complementary and alternative medicine (39 citations). Wei Ma has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhengwei Yuan, Xiaowei Wei, Hui Gu, Dan Liu, Kai‐Jin Wang, Guoqing Yan, Tianchu Huang, Ning Li, Yong‐Xian Cheng and Wenting Luo. Their work appears in journals such as Journal of Biomedical Materials Research Part B Applied Biomaterials, Cell Death and Disease, Frontiers in Cell and Developmental Biology, Surface and Coatings Technology and International Journal of Developmental Neuroscience.

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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