Laying Wu

726 citations
19 papers · 607 · h-index 11

Impact in

Papers in

    • Supramolecular Self-Assembly in Materials 2
    • Electrospun Nanofibers in Biomedical Applications 2
    • Nanoparticle-Based Drug Delivery 2
    • RNA Interference and Gene Delivery 2

Laying Wu

19 papers receiving 602 citations

Peers

Laying Wu
Comparison fields: 5 of 98
  • Biomaterials 172
  • Industrial and Manufacturing Engineering 66
  • Water Science and Technology 85
  • Surfaces, Coatings and Films 31
  • Biomedical Engineering 183
Replace Jingwen Dai with:
Jingwen Dai China
Yuan Qian China
Junwei Zhang China
Xinxin Jing China
Zhiping Peng China
Alper D. Özkan Türkiye
Mi Zhou China
Yuanyuan Geng China
Laying Wu relative to Jingwen Dai China Jingwen Dai's profile →
Citations per field
00.5×2.5×
Jingwen Dai · 1×
Citations per year

Countries citing papers authored by Laying Wu

Since Specialization
Citations

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

Fields of papers citing papers by Laying Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2010150
2 201172
3 201866
4 201657
5 201143
6 201441
7 200939
8 201138
9 201931
10 201129
11 200920
12 20106
13 20204
14 20154
15 20232
16 20252
17 20111
18 20111
19 20091

About Laying Wu

Laying Wu is a scholar working on Biomaterials, Molecular Biology, Ecology, Surfaces, Coatings and Films and Water Science and Technology, having authored 19 papers that have together received 607 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (2 papers), Bacteriophages and microbial interactions (2 papers), Plant Virus Research Studies (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Polymer Surface Interaction Studies (2 papers), Urban Stormwater Management Solutions (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Biomaterials (172 citations), Industrial and Manufacturing Engineering (66 citations), Water Science and Technology (85 citations), Surfaces, Coatings and Films (31 citations) and Biomedical Engineering (183 citations). Laying Wu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Qian Wang, Yang Deng, Melissa A. Moss, Xiaoming He, Xiongbin Lu, Wujie Zhang, Remant Bahadur K.C., L. Andrew Lee, Soumitra Ghoshroy and Dibyendu Sarkar. Their work appears in journals such as Biomacromolecules, Langmuir, Chemical Communications, Microscopy and Microanalysis and American Malacological Bulletin.

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