Ming Guan

1.4k citations
52 papers · 1.0k indexed · h-index 18

Impact in

    • Graphene and Nanomaterials Applications
    • Bone Tissue Engineering Materials
    • Nanoplatforms for cancer theranostics
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Ming Guan

50 papers receiving 1.0k citations

Peers

Ming Guan
Comparison fields: 5 of 112
  • Biomedical Engineering 373
  • Biomaterials 110
  • Ceramics and Composites 39
  • Materials Chemistry 305
  • Sensory Systems 32
Replace Masaya Ito with:
Masaya Ito Japan
Hyun‐Man Kim South Korea
Ximin Chen China
Shiyu Luo China
Xingfu Bao China
Baiyan Sui China
Alasdair J. Edgar United Kingdom
Stefania Moscato Italy
Hiroaki Saito Japan
Ming Guan relative to Masaya Ito Japan Masaya Ito's profile →
Citations per field
00.5×7.8×
Masaya Ito · 1×
Citations per year

Countries citing papers authored by Ming Guan

Since Specialization
Citations

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

Fields of papers citing papers by Ming Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202438
2 20244
3 20247
4 20233
5 202214
6 202219
7 20228
8
Improved Immunoregulation of Ultra-Low-Dose Silver Nanoparticle-Loaded TiO2 Nanotubes via M2 Macrophage Polarization by Regulating GLUT1 and Autophagy
20201
9
Growth Factor and Its Polymer Scaffold-Based Delivery System for Cartilage Tissue Engineering
20201
10 202097
11 201923
12 201919
13 201949
14 201822
15 20167
16 201425
17 20144
18 2013224
19 201210
20 20077

About Ming Guan

Ming Guan is a scholar working on Sensory Systems, Ceramics and Composites, Otorhinolaryngology, Rehabilitation and Molecular Medicine, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (5 papers), Nanoplatforms for cancer theranostics (4 papers), Hearing, Cochlea, Tinnitus, Genetics (4 papers), Wound Healing and Treatments (3 papers), Glass properties and applications (3 papers), Cancer-related molecular mechanisms research (3 papers), Spinal Fractures and Fixation Techniques (3 papers) and Photodynamic Therapy Research Studies (3 papers). The work is most often cited by research in Biomedical Engineering (373 citations), Biomaterials (110 citations), Ceramics and Composites (39 citations), Materials Chemistry (305 citations) and Sensory Systems (32 citations). Ming Guan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Lingna Zheng, Hong Ouyang, Weiyue Feng, Di Gao, Hanqing Chen, Zhifang Chai, Bing Wang, Yuliang Zhao, Guangyu Chu and Li Chen. Their work appears in journals such as International Journal of Nanomedicine, International Journal of Biological Macromolecules, Canadian Journal of Cardiology, Gels and Advanced Materials.

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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