Ting Wang

5.3k citations
205 papers · 4.3k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Ting Wang

198 papers receiving 4.2k citations

Hit Papers

Bioinspired artificial antioxidases for efficient redox homeostasis and maxillofacial bone regeneration 2025 · 26 citations
2620252026510152025

Peers

Ting Wang
Comparison fields: 5 of 142
  • Molecular Medicine 393
  • Biomaterials 753
  • Renewable Energy, Sustainability and the Environment 805
  • Rehabilitation 286
  • Pharmaceutical Science 195
Replace Nahit Aktaş with:
Nahit Aktaş Türkiye
Yanan Xue China
Ahmed M. Omer Egypt
Mohammad Reza Nabid Iran
Yanfang Sun China
Chengcheng Li China
Hong Xu China
Anjanapura V. Raghu India
Shahid Ali Khan Pakistan
Sadanand Pandey South Korea
Ting Wang relative to Nahit Aktaş Türkiye Nahit Aktaş's profile →
Citations per field
00.5×9.5×
Nahit Aktaş · 1×
Citations per year

Countries citing papers authored by Ting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20246
3 20240
4 202414
5 20240
6 202410
7 20241
8 20238
9 202313
10 202312
11 20231
12 202366
13 20237
14 202360
15 20228
16 202113
17 201927
18
Direct Synthesis of NaBH 4 Nanoparticles from NaOCH 3 for Hydrogen Storage
20199
19 201729
20
RAPD analysis of different population of Dacydium pierrei
199917

About Ting Wang

Ting Wang is a scholar working on Molecular Medicine, Drug Discovery, Biomaterials, Pharmaceutical Science and Rehabilitation, having authored 205 papers that have together received 4.3k indexed citations. Recurring topics across this work include Carbon and Quantum Dots Applications (25 papers), Nanocluster Synthesis and Applications (21 papers), Hydrogels: synthesis, properties, applications (21 papers), Wound Healing and Treatments (16 papers), Nanoparticle-Based Drug Delivery (16 papers), Advanced Nanomaterials in Catalysis (15 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Electrospun Nanofibers in Biomedical Applications (13 papers). The work is most often cited by research in Molecular Medicine (393 citations), Biomaterials (753 citations), Renewable Energy, Sustainability and the Environment (805 citations), Rehabilitation (286 citations) and Pharmaceutical Science (195 citations). Ting Wang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Ligang Chen, Tong Jia, Shuting Lu, Xiufeng Yan, Hengli Duan, Jie‐Sheng Chen, Xuri Huang, Guangtao Yu, Xiaotian Li and Xuan Ai. Their work appears in journals such as Journal of Applied Polymer Science, International Journal of Biological Macromolecules, International Journal of Hydrogen Energy, Polymers and RSC Advances.

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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