Wei Ma

1.6k citations
80 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 8
    • RNA modifications and cancer 5
    • Congenital Anomalies and Fetal Surgery 5

Wei Ma

79 papers receiving 1.2k citations

Peers

Wei Ma
Comparison fields: 5 of 119
  • Cancer Research 280
  • Molecular Biology 585
  • Biochemistry 43
  • Obstetrics and Gynecology 45
  • Complementary and alternative medicine 45
Replace Hongmei Ding with:
Hongmei Ding China
Kimie Tanaka Japan
Weiping Wang China
Michiko Hirata Japan
Feride İffet Şahin Türkiye
Saskia van der Velden Netherlands
Shu Li China
Tomohiro Mizutani Japan
Seyed Mehdi Kalantar Iran
Wei Ma relative to Hongmei Ding China Hongmei Ding's profile →
Citations per field
00.5×3.9×
Hongmei Ding · 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 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014117
2 201273
3 201549
4 202045
5 201639
6 201738
7 201837
8 202131
9
Bone sialoprotein promotes bone metastasis of a non-bone-seeking clone of human breast cancer cells.
200430
10 201829
11 200728
12 201725
13 200924
14 202224
15 201923
16 201622
17 202121
18 201421
19 201820
20 201720

About Wei Ma

Wei Ma is a scholar working on Molecular Biology, Surgery, Cancer Research, Epidemiology and Public Health, Environmental and Occupational Health, having authored 80 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Spinal Dysraphism and Malformations (10 papers), Circular RNAs in diseases (8 papers), Cancer-related molecular mechanisms research (8 papers), Bone Tissue Engineering Materials (6 papers), Mesenchymal stem cell research (5 papers), RNA modifications and cancer (5 papers) and Congenital Anomalies and Fetal Surgery (5 papers). The work is most often cited by research in Cancer Research (280 citations), Molecular Biology (585 citations), Biochemistry (43 citations), Obstetrics and Gynecology (45 citations) and Complementary and alternative medicine (45 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, Yong‐Xian Cheng, Ning Li, Wenting Luo and Weilin Wang. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Journal of Biomedical Materials Research Part B Applied Biomaterials, Cell Death and Disease, Scientific Reports and Annals of the New York Academy of Sciences.

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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