Ming Ma

833 citations
22 papers · 664 · h-index 14

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Collagen: Extraction and Characterization
    • Hydrogels: synthesis, properties, applications

Papers in

    • Calcium Carbonate Crystallization and Inhibition 3
    • Collagen: Extraction and Characterization 3
    • Electrospun Nanofibers in Biomedical Applications 2
    • Bone Tissue Engineering Materials 7
    • 3D Printing in Biomedical Research 4
    • Graphene and Nanomaterials Applications 2

Ming Ma

19 papers receiving 658 citations

Peers

Ming Ma
Comparison fields: 5 of 99
  • Biomaterials 243
  • Molecular Medicine 52
  • Biomedical Engineering 310
  • Automotive Engineering 62
  • Rheumatology 45
Replace Xinchen Wu with:
Xinchen Wu United States
Kanwal Ilyas Germany
Baboucarr Lowe South Korea
Rabia Zeeshan Pakistan
Paulina Kazimierczak Poland
Faiza Zarif Pakistan
Isabelle Bataille France
Deogil Kim South Korea
Yonghyun Gwon South Korea
Cunyang Wang China
Ming Ma relative to Xinchen Wu United States Xinchen Wu's profile →
Citations per field
00.5×12×
Xinchen Wu · 1×
Citations per year

Countries citing papers authored by Ming Ma

Since Specialization
Citations

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

Fields of papers citing papers by Ming Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 201477
3 201468
4 202064
5 202038
6 201934
7 202332
8 200828
9 201319
10 201618
11 201918
12 201017
13 201915
14 202113
15 201411
16 20145
17 20235
18 20253
19 20213
20 20250

About Ming Ma

Ming Ma is a scholar working on Biomaterials, Biomedical Engineering, Molecular Biology, Surgery and Materials Chemistry, having authored 22 papers that have together received 664 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Protein Hydrolysis and Bioactive Peptides (4 papers), 3D Printing in Biomedical Research (4 papers), Calcium Carbonate Crystallization and Inhibition (3 papers), Collagen: Extraction and Characterization (3 papers), Bone and Dental Protein Studies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Biomaterials (243 citations), Molecular Medicine (52 citations), Biomedical Engineering (310 citations), Automotive Engineering (62 citations) and Rheumatology (45 citations). Ming Ma has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanchuan Guo, Weipeng Lu, Yihu Wang, Xiaofeng Cao, Weijie Zhang, Yunhua Gao, Bing Zhang, Jianing Wang, Bing Zhang and Jun‐Li Liu. Their work appears in journals such as Materials Letters, Materials, Crystal Growth & Design, PLoS ONE and Food 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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