Binbin Ma

1.5k citations
56 papers · 1.1k · h-index 20

Impact in

Papers in

    • Circular RNAs in diseases 4
    • Kruppel-like factors research 3
    • RNA Research and Splicing 3
    • Polyamine Metabolism and Applications 3
    • Bladder and Urothelial Cancer Treatments 3
    • Hip and Femur Fractures 3

Binbin Ma

52 papers receiving 1.1k citations

Peers

Binbin Ma
Comparison fields: 5 of 106
  • Cancer Research 204
  • Electronic, Optical and Magnetic Materials 166
  • Biochemistry 46
  • Biophysics 39
  • Molecular Biology 447
Replace Lin Shi with:
Lin Shi China
Tingting Chen China
Shigeyuki Ozawa Japan
Joanna Dulińska-Litewka Poland
Rita Mendes Portugal
Junye Liu China
Huan Min China
Wenjun Le China
Yanlian Yang China
Thomas Verwanger Austria
Binbin Ma relative to Lin Shi China Lin Shi's profile →
Citations per field
00.5×5.8×
Lin Shi · 1×
Citations per year

Countries citing papers authored by Binbin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Binbin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 200782
3 201279
4 201763
5 201958
6 201754
7 201754
8 201941
9 201239
10 201833
11 201932
12 201731
13
MiR-1281, a p53-responsive microRNA, impairs the survival of human osteosarcoma cells upon ER stress via targeting USP39.
201828
14 201927
15 201926
16 201924
17 201923
18 201723
19 200823
20 201620

About Binbin Ma

Binbin Ma is a scholar working on Molecular Biology, Surgery, Cancer Research, Materials Chemistry and Epidemiology, having authored 56 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (4 papers), MicroRNA in disease regulation (4 papers), Kruppel-like factors research (3 papers), RNA Research and Splicing (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Polyamine Metabolism and Applications (3 papers) and Hip and Femur Fractures (3 papers). The work is most often cited by research in Cancer Research (204 citations), Electronic, Optical and Magnetic Materials (166 citations), Biochemistry (46 citations), Biophysics (39 citations) and Molecular Biology (447 citations). Binbin Ma has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include Yizhi Li, Jiacheng Lou, Chun Li, Xiao‐Zeng You, Cheng‐Hui Li, Genlin Zhang, Xiaolin Xu, Hui Chen, Chuanchun Han and Qiong Wu. Their work appears in journals such as Inflammation Research, Journal of Experimental & Clinical Cancer Research, Computational and Structural Biotechnology Journal, Journal of Orthopaedic Translation and Journal of Orthopaedic Trauma.

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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