Run Meng

519 citations
17 papers · 362 · h-index 11

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • biodegradable polymer synthesis and properties
  • Pollution top 10%
    • Microplastics and Plastic Pollution

Papers in

    • Protein Interaction Studies and Fluorescence Analysis 3
    • Nanoparticle-Based Drug Delivery 3
    • Silk-based biomaterials and applications 2

Run Meng

15 papers receiving 350 citations

Peers

Run Meng
Comparison fields: 5 of 76
  • Biomaterials 107
  • Pollution 86
  • Drug Discovery 1
  • Industrial and Manufacturing Engineering 34
  • Microbiology 17
Replace Jiyan Qiao with:
Jiyan Qiao China
Regina Schöps Germany
Khushboo Gulati India
Andrea Nolte Germany
Cuijuan Jiang China
Débora Ferreira Portugal
Dustin Duncan Canada
Danaya Pakotiprapha Thailand
Roberta Cagliani United Arab Emirates
Run Meng relative to Jiyan Qiao China Jiyan Qiao's profile →
Citations per field
00.5×1.5×
Jiyan Qiao · 1×
Citations per year

Countries citing papers authored by Run Meng

Since Specialization
Citations

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

Fields of papers citing papers by Run Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202285
2 202443
3 202240
4 202236
5 200132
6 202329
7 202223
8 202316
9 202313
10 202013
11 202110
12 19996
13 20246
14 20186
15 20214
16 20250
17 20250

About Run Meng

Run Meng is a scholar working on Molecular Biology, Biomaterials, Plant Science, Biomedical Engineering and Surgery, having authored 17 papers that have together received 362 indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (3 papers), Protein Interaction Studies and Fluorescence Analysis (3 papers), Recycling and Waste Management Techniques (2 papers), Microplastics and Plastic Pollution (2 papers), Hemoglobin structure and function (2 papers), Graphene and Nanomaterials Applications (2 papers), Wound Healing and Treatments (2 papers) and Silk-based biomaterials and applications (2 papers). The work is most often cited by research in Biomaterials (107 citations), Pollution (86 citations), Drug Discovery (1 citation), Industrial and Manufacturing Engineering (34 citations) and Microbiology (17 citations). Run Meng has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Shilei Hao, Bochu Wang, Bochu Wang, Ganghua Chen, Minghui Li, Qingzhi Ji, Xiaorong Zhou, Rui Qing, Jia Deng and F.A. Hammerschlag. Their work appears in journals such as Scientific Reports, Plant Cell Reports, Frontiers in Bioengineering and Biotechnology, Frontiers in Plant Science and Biologia Plantarum.

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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