Minghai Dai

435 citations
23 papers · 291 · h-index 10

Impact in

Papers in

    • Electrospun Nanofibers in Biomedical Applications 4
    • Nanoparticle-Based Drug Delivery 3
    • Spinal Fractures and Fixation Techniques 4
    • Pelvic and Acetabular Injuries 3

Minghai Dai

23 papers receiving 289 citations

Peers

Minghai Dai
Comparison fields: 5 of 71
  • Rehabilitation 48
  • Pharmaceutical Science 42
  • Biomaterials 83
  • Molecular Medicine 24
  • Pathology and Forensic Medicine 41
Replace Devika M. Varma with:
Devika M. Varma United States
Chengxuan Tang China
Andreia Marinho Portugal
Liangle Liu China
Michael Nguyen United States
Haoxiu Sun China
Baiqiang Huang United States
Chengshen Hu China
Shyam Vasvani India
Minghai Dai relative to Devika M. Varma United States Devika M. Varma's profile →
Citations per field
00.5×6.3×
Devika M. Varma · 1×
Citations per year

Countries citing papers authored by Minghai Dai

Since Specialization
Citations

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

Fields of papers citing papers by Minghai Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202340
2 202437
3 201532
4 202331
5 202330
6 202426
7 202323
8 202412
9 202310
10
The treatment of osteoporotic thoracolumbar severe burst fractures with short pedicle screw fixation and vertebroplasty.
20149
11 20247
12 20246
13 20205
14 20234
15 20243
16 20253
17 20253
18 20213
19 20252
20 20192

About Minghai Dai

Minghai Dai is a scholar working on Biomaterials, Surgery, Molecular Medicine, Biomedical Engineering and Pathology and Forensic Medicine, having authored 23 papers that have together received 291 indexed citations. Recurring topics across this work include Electrospun Nanofibers in Biomedical Applications (4 papers), 3D Printing in Biomedical Research (4 papers), Spinal Fractures and Fixation Techniques (4 papers), Hydrogels: synthesis, properties, applications (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Nerve injury and regeneration (3 papers), Nanoparticle-Based Drug Delivery (3 papers) and Pelvic and Acetabular Injuries (3 papers). The work is most often cited by research in Rehabilitation (48 citations), Pharmaceutical Science (42 citations), Biomaterials (83 citations), Molecular Medicine (24 citations) and Pathology and Forensic Medicine (41 citations). Minghai Dai has collaborated with scholars based in China. Frequent co-authors include Chengxuan Tang, Liangle Liu, Yikun Ju, Bairong Fang, Han Chen, Yijiang Huang, Lanjie Lei, Xiaojun Tang, Anqi Jin and Mengli Sun. Their work appears in journals such as International Journal of Biological Macromolecules, Materials Today Bio, APL Materials, Materials & Design and Biomaterials Research.

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.

Explore authors with similar magnitude of impact