Tzu‐Wei Wang

3.6k citations
72 papers · 2.9k indexed · h-index 28

Tzu‐Wei Wang

70 papers receiving 2.8k citations

Peers

Tzu‐Wei Wang
Comparison fields: 5 of 122
  • Biomaterials 1.4k
  • Rehabilitation 326
  • Molecular Medicine 212
  • Biomedical Engineering 1.3k
  • Cellular and Molecular Neuroscience 497
Replace Kisuk Yang with:
Kisuk Yang South Korea
Mitchell Kuss United States
Liumin He China
Guorui Jin China
Masao Tanihara Japan
Nic D. Leipzig United States
Xiaoran Li China
Chiara Tonda‐Turo Italy
Binbin Sun China
Xiaodan Sun China
Tzu‐Wei Wang relative to Kisuk Yang South Korea Kisuk Yang's profile →
Citations per field
00.5×1.7×
Kisuk Yang · 1×
Citations per year

Countries citing papers authored by Tzu‐Wei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tzu‐Wei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzu‐Wei Wang. 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 Tzu‐Wei Wang. The network helps show where Tzu‐Wei Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20253
3 20250
4 20247
5 20243
6 20244
7 20244
8 20245
9 20235
10 20229
11 201948
12 201664
13 2014257
14 201346
15 2012125
16 200721
17 20066
18 200691
19 20069
20
Keratinocyte-fibroblast Cocultures on a Bi-layered Gelatin Scaffold for Skin Equivalent Tissue Engineering
20034

About Tzu‐Wei Wang

Tzu‐Wei Wang is a scholar working on Biomaterials, Rehabilitation, Developmental Neuroscience, Cell Biology and Cellular and Molecular Neuroscience, having authored 72 papers that have together received 2.9k indexed citations. Recurring topics across this work include Wound Healing and Treatments (11 papers), Nanoparticle-Based Drug Delivery (11 papers), Silk-based biomaterials and applications (10 papers), Nerve injury and regeneration (10 papers), Bone Tissue Engineering Materials (9 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), RNA Interference and Gene Delivery (6 papers) and Cellular Mechanics and Interactions (5 papers). The work is most often cited by research in Biomaterials (1.4k citations), Rehabilitation (326 citations), Molecular Medicine (212 citations), Biomedical Engineering (1.3k citations) and Cellular and Molecular Neuroscience (497 citations). Tzu‐Wei Wang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jui‐Sheng Sun, Hsi‐Chin Wu, Feng‐Huei Lin, Chen‐Hsiang Kuan, Ming‐Hong Chen, Hsi‐Chin Wu, Myron Spector, Wen‐Han Chang, Ming-Yuan Huang and Hsi‐Chin Wu. Their work appears in journals such as Biomaterials, Acta Biomaterialia, Advanced Functional Materials, Current Nanoscience and Frontiers in Bioengineering and Biotechnology.

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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