Minghui Tang

1.8k citations
58 papers · 1.3k indexed · h-index 18

Impact in

  • Genetics top 5%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Minghui Tang

58 papers receiving 1.3k citations

Peers

Minghui Tang
Comparison fields: 5 of 120
  • Genetics 202
  • Biomaterials 209
  • Biomedical Engineering 614
  • Urology 58
  • Health Informatics 10
Replace Toshiyuki Okada with:
Toshiyuki Okada Japan
Ryuji Kato Japan
Pengfei Guan China
Timothy J. Maguire United States
Rhima M. Coleman United States
Zhao Li China
Xintao Zhang China
Yong Lü China
Nicholas P. Rhodes United Kingdom
Danqing Huang China
Minghui Tang relative to Toshiyuki Okada Japan Toshiyuki Okada's profile →
Citations per field
00.5×3.5×
Toshiyuki Okada · 1×
Citations per year

Countries citing papers authored by Minghui Tang

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20241
4 202412
5 20241
6 20245
7 20246
8 20243
9 20237
10 20234
11 20233
12 20234
13 202214
14 202110
15 201655
16 201387
17 201255
18 201156
19 200899
20
BMP-Induced Osteogenesis with Two Geometrically Different Biodegradable Carbonate Apatites
20012

About Minghui Tang

Minghui Tang is a scholar working on Biological Psychiatry, Health Informatics, Genetics, Biomedical Engineering and Pharmacology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Mesenchymal stem cell research (6 papers), Electrowetting and Microfluidic Technologies (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Anatomy and Medical Technology (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Genetics (202 citations), Biomaterials (209 citations), Biomedical Engineering (614 citations), Urology (58 citations) and Health Informatics (10 citations). Minghui Tang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Hockin H.K. Xu, Michael D. Weir, Wenchuan Chen, Ho‐Pui Ho, Jeremy J. Mao, Adel Alhadlaq, Siu‐Kai Kong, Guanghui Wang, WahWah Thein-Han and Jun Liu. Their work appears in journals such as Lab on a Chip, Tissue Engineering Part A, Applied Sciences, Scientific Reports and Pharmacognosy Magazine.

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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