Bin Ma

30 papers receiving 512 citations

Bin Ma's Hit Papers

Emerging non-viral vectors for gene delivery 2023 · 174 citations
1740+1+2Years since publication50100150

Peers

Bin Ma
Comparison fields: 5 of 99
  • Pharmaceutical Science 63
  • Renewable Energy, Sustainability and the Environment 69
  • Biomedical Engineering 125
  • Biomaterials 35
  • Molecular Biology 177
Replace Ahmed Munaz with:
Ahmed Munaz Australia
Young-Min Hwang South Korea
Yujin Ahn South Korea
Congxin Li China
Youngwook Noh South Korea
Dong‐In Kim South Korea
Sha Zhang China
Bin Ma relative to Ahmed Munaz Australia Ahmed Munaz's profile →
Citations per field
00.5×6.9×
Ahmed Munaz · 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 →
2023174
2 200689
3 200867
4 201424
5 202320
6 201515
7 202314
8 202114
9 202312
10 200612
11 202011
12 20129
13 20247
14 20137
15 20246
16 20166
17 20065
18 20075
19 20065
20 20124

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 531 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), Fuel Cells and Related Materials (3 papers), RNA Interference and Gene Delivery (3 papers), Chalcogenide Semiconductor Thin Films (3 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Pharmaceutical Science (63 citations), Renewable Energy, Sustainability and the Environment (69 citations), Biomedical Engineering (125 citations), Biomaterials (35 citations) and Molecular Biology (177 citations). Bin Ma has collaborated with scholars based in China, United States and Norway. Frequent co-authors include Haiyang Yong, Yitong Zhao, Ming Li, Wei He, Tao Bo, Chaolan Pan, Feifei Wang, Chenfei Wang, Guangsheng Zhang and Liejin Guo. Their work appears in journals such as Journal of Advanced Mechanical Design Systems and Manufacturing, Proceedings of the Institution of Mechanical Engineers Part J Journal of Engineering Tribology, ACS Applied Materials & Interfaces, Advanced Materials 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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