Bin Ma

30 papers receiving 467 citations

Bin Ma's Hit Papers

Emerging non-viral vectors for gene delivery 2023 · 156 citations
1560+1+2Years since publication50100150

Peers

Bin Ma
Comparison fields: 5 of 96
  • Pharmaceutical Science 59
  • Renewable Energy, Sustainability and the Environment 68
  • Biomaterials 35
  • Biomedical Engineering 114
  • Molecular Biology 170
Replace Peipei Zhang with:
Peipei Zhang China
Young-Min Hwang South Korea
Ahmed Munaz Australia
Xiaolu Cai China
Renqiang Yuan China
Sha Zhang China
Youngwook Noh South Korea
Bin Ma relative to Peipei Zhang China Peipei Zhang's profile →
Citations per field
00.5×5.2×
Peipei Zhang · 1×
Citations per year

Countries citing papers authored by Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Emerging non-viral vectors for gene delivery
Hit paper breakdown →
2023156
2 200682
3 200865
4 201423
5 202319
6 202314
7 201514
8 202113
9 202011
10 202311
11 200610
12 20129
13 20137
14 20166
15 20245
16 20245
17 20065
18 20075
19 20124
20 20063

About Bin Ma

Bin Ma is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Molecular Biology, Biomedical Engineering and Pharmaceutical Science, having authored 32 papers that have together received 488 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (8 papers), Lubricants and Their Additives (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Advancements in Transdermal Drug Delivery (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Neuroscience and Neural Engineering (3 papers), Fuel Cells and Related Materials (3 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Pharmaceutical Science (59 citations), Renewable Energy, Sustainability and the Environment (68 citations), Biomaterials (35 citations), Biomedical Engineering (114 citations) and Molecular Biology (170 citations). Bin Ma has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Haiyang Yong, Yitong Zhao, Guangsheng Zhang, Tao Bo, Ming Li, Chaolan Pan, Hongtan Liu, Wei He, Feifei Wang and Liejin Guo. Their work appears in journals such as Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, ACS Applied Materials & Interfaces, Journal of Advanced Mechanical Design Systems and Manufacturing, Tribology International and Food Science and Human Wellness.

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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