Weitai Wu

5.2k citations
112 papers · 4.4k indexed · h-index 40

Impact in

Papers in

    • Hydrogels: synthesis, properties, applications 32
    • Nanoparticle-Based Drug Delivery 15
    • Supramolecular Self-Assembly in Materials 10

Weitai Wu

109 papers receiving 4.4k citations

Peers

Weitai Wu
Comparison fields: 5 of 112
  • Molecular Medicine 954
  • Biomaterials 1.1k
  • Pharmaceutical Science 320
  • Organic Chemistry 1.3k
  • Bioengineering 203
Replace Kwon Taek Lim with:
Kwon Taek Lim South Korea
Mingzhu Liu China
Xinlin Yang China
Shoukuan Fu China
Sami Hietala Finland
Jing Shen China
Valeria Harabagiu Romania
Sepideh Khoee Iran
Piotr Ulański Poland
Bernhard V. K. J. Schmidt Germany
Weitai Wu relative to Kwon Taek Lim South Korea Kwon Taek Lim's profile →
Citations per field
00.5×1.5×2.2×
Kwon Taek Lim · 1×
Citations per year

Countries citing papers authored by Weitai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Weitai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20242
4 20230
5 20238
6 20226
7 202028
8 2020128
9 201747
10 201411
11 201414
12 201338
13 201323
14 201354
15 201284
16 201016
17 2010152
18 2010123
19 200716
20 200524

About Weitai Wu

Weitai Wu is a scholar working on Molecular Medicine, Biomaterials, Organic Chemistry, Polymers and Plastics and Electronic, Optical and Magnetic Materials, having authored 112 papers that have together received 4.4k indexed citations. Recurring topics across this work include Hydrogels: synthesis, properties, applications (32 papers), Nanomaterials for catalytic reactions (26 papers), Electrochemical sensors and biosensors (15 papers), Nanoparticle-Based Drug Delivery (15 papers), Gold and Silver Nanoparticles Synthesis and Applications (15 papers), Supramolecular Self-Assembly in Materials (10 papers), Graphene and Nanomaterials Applications (9 papers) and Conducting polymers and applications (9 papers). The work is most often cited by research in Molecular Medicine (954 citations), Biomaterials (1.1k citations), Pharmaceutical Science (320 citations), Organic Chemistry (1.3k citations) and Bioengineering (203 citations). Weitai Wu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Shuiqin Zhou, Probal Banerjee, Jing Shen, Zahoor H. Farooqi, Robina Begum, Ahmad Irfan, Ting Zhou, Khalida Naseem, N. K. Mitra and Elsa C. Y. Yan. Their work appears in journals such as Polymer Chemistry, Chemical Communications, Nanotechnology, Biomaterials and ACS Macro Letters.

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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