Meiru Mao

826 citations
22 papers · 626 · h-index 13

Impact in

  • Biomaterials top 10%
    • Nanocomposite Films for Food Packaging
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications
    • Wound Healing and Treatments

Papers in

Meiru Mao

21 papers receiving 621 citations

Peers

Meiru Mao
Comparison fields: 5 of 88
  • Biomaterials 170
  • Rehabilitation 42
  • Biomedical Engineering 254
  • Polymers and Plastics 63
  • Molecular Medicine 19
Replace Hongrui Yu with:
Hongrui Yu China
Jianglong Kong China
Ankita Das India
Taha Umair Wani India
Suman Bhandary India
Runxuan Chu China
A. P. Subramanian Malaysia
Jin Sil Lee South Korea
Berna Şentürk Switzerland
Meiru Mao relative to Hongrui Yu China Hongrui Yu's profile →
Citations per field
00.5×3.9×
Hongrui Yu · 1×
Citations per year

Countries citing papers authored by Meiru Mao

Since Specialization
Citations

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

Fields of papers citing papers by Meiru Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Meiru Mao, 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 Meiru Mao Line = papers co-authored together Meiru Mao 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 202289
2 202470
3 202368
4 202158
5 202455
6 202346
7 202342
8 202339
9 202037
10 202425
11 202219
12 202018
13 202216
14 202212
15 202310
16 20248
17 20234
18 20253
19 20253
20 20232

About Meiru Mao

Meiru Mao is a scholar working on Biomedical Engineering, Materials Chemistry, Biomaterials, Molecular Biology and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 626 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (6 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Advanced Nanomaterials in Catalysis (3 papers), Proteins in Food Systems (3 papers), Wound Healing and Treatments (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Nanocomposite Films for Food Packaging (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Biomaterials (170 citations), Rehabilitation (42 citations), Biomedical Engineering (254 citations), Polymers and Plastics (63 citations) and Molecular Medicine (19 citations). Meiru Mao has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Jianglong Kong, Xiaohan Ge, Yi Wang, Hongrui Yu, Yuting Sun, Runxuan Chu, Jiawen Liu, David Y. Wang, Yuting Sun and Sihan Ma. Their work appears in journals such as Chemical Engineering Journal, Nano Energy, Advanced Functional Materials, ACS Nano 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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