Lang Ma

7.5k citations
125 papers · 6.6k indexed · h-index 51

Lang Ma

121 papers receiving 6.5k citations

Peers

Lang Ma
Comparison fields: 5 of 135
  • Surfaces, Coatings and Films 759
  • Biomaterials 1.3k
  • Biomedical Engineering 3.2k
  • Water Science and Technology 933
  • Renewable Energy, Sustainability and the Environment 962
Replace Chaobo Huang with:
Chaobo Huang China
Chao He China
Huawei Yang China
Hepeng Zhang China
Jianping Gao China
Mi Zhou China
Yan Fang China
Peng Yang China
Salem S. Al‐Deyab Saudi Arabia
Hirotaka Ejima Japan
Lang Ma relative to Chaobo Huang China Chaobo Huang's profile →
Citations per field
00.5×50×100×168.5×
Chaobo Huang · 1×
Citations per year

Countries citing papers authored by Lang Ma

Since Specialization
Citations

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

Fields of papers citing papers by Lang Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202422
2 202410
3 20247
4 20239
5 2023118
6 202288
7 2022129
8 202290
9 202170
10 202114
11 2021116
12 2021138
13 202197
14 202130
15 2020105
16 2019156
17 201937
18 2018148
19
機能的に還元したグラフェン酸化物およびカーボンナノチューブハイブリッドと補強効果の合成ポリイミド複合材料の性質に及ぼす【Powered by NICT】
20172
20 201425

About Lang Ma

Lang Ma is a scholar working on Surfaces, Coatings and Films, Biomedical Engineering, Biomaterials, Materials Chemistry and Water Science and Technology, having authored 125 papers that have together received 6.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (41 papers), Advanced Nanomaterials in Catalysis (28 papers), Graphene and Nanomaterials Applications (26 papers), Polymer Surface Interaction Studies (17 papers), Graphene research and applications (15 papers), Electrospun Nanofibers in Biomedical Applications (14 papers), Membrane Separation Technologies (12 papers) and Nanoparticle-Based Drug Delivery (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (759 citations), Biomaterials (1.3k citations), Biomedical Engineering (3.2k citations), Water Science and Technology (933 citations) and Renewable Energy, Sustainability and the Environment (962 citations). Lang Ma has collaborated with scholars based in China, Germany and France. Frequent co-authors include Chong Cheng, Changsheng Zhao, Chuanxiong Nie, Chao He, Shuang Li, Li Qiu, Ye Yang, Xin Fan, Shudong Sun and Jianbo Huang. Their work appears in journals such as Journal of Materials Chemistry B, Advanced Functional Materials, Advanced Materials, ACS Applied Materials & Interfaces and Journal of Membrane Science.

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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