Liang Ma

5.5k citations
160 papers · 4.2k indexed · 2 hit papers · h-index 33
Topics
3D Printing in Biomedical Research (32 papers)Additive Manufacturing and 3D Printing Technologies (18 papers)Bone Tissue Engineering Materials (13 papers)

In The Last Decade

Liang Ma

151 papers receiving 4.1k citations

Hit Papers

Coaxial nozzle-assisted 3D bioprinting with built-in micr...201520262018202220152022100200300400

Peers

Liang Ma
Comparison fields: 5 of 152
  • Biomedical Engineering 2.2k
  • Automotive Engineering 754
  • Biomaterials 578
  • Molecular Biology 547
  • Materials Chemistry 542
Replace Newell R. Washburn with:
Newell R. Washburn United States
Brian G. Amsden Canada
Zdeňka Kolská Czechia
Marcella Trombetta Italy
Giyoong Tae South Korea
Salvador Borrós Spain
Mark W. Tibbitt Switzerland
Thomas Groth Germany
Birgit Glasmacher Germany
Lorenz Meinel Germany
Liang Ma relative to Newell R. Washburn United States Newell R. Washburn's profile →
Citations per field
00.5×1.5×2.2×
Newell R. Washburn · 1×
Citations per year

Countries citing papers authored by Liang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ma. A scholar is included among the top collaborators of Liang Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Liang Ma. Liang Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 1
3 1
4 0
5 0
6 9
7 76
8 4
9 28
10 13
11 41
12 30
13 15
14 26
15 149
16 8
17 6
18
Impact property research on a new type of guardrail terminal for freeways
0
19
Premature ovarian failure and autoimmunity
1
20
Assessment of the Mechanical Interactions between Corneal Fibroblasts and Collagen Fibrils inside 3-D Extracellular Matrix
1

About Liang Ma

Liang Ma is a scholar working on Filtration and Separation, Automotive Engineering and Biomedical Engineering, having authored 160 papers that have together received 4.2k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (32 papers), Additive Manufacturing and 3D Printing Technologies (18 papers) and Bone Tissue Engineering Materials (13 papers). The work is most often cited by research in Automotive Engineering (754 citations), Biomedical Engineering (2.2k citations) and Biomaterials (578 citations). Liang Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Huayong Yang, Jianzhong Fu, Yong He, An Liu, Qing Gao, Changchun Zhou, Lei Gao, Yichen Luo, Haojie Yu and Zhanfeng Cui. Their work appears in journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Angewandte Chemie International Edition.

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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