Luru Dai

4.1k citations
46 papers · 3.7k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Luru Dai

46 papers receiving 3.6k citations

Hit Papers

Near Infrared Light-Powered Janus Mesoporous Silica Nanoparticle Motors 2016 · 425 citations
4252016202620192022100200300400

Peers

Luru Dai
Comparison fields: 5 of 119
  • Biomaterials 1.1k
  • Condensed Matter Physics 864
  • Biomedical Engineering 2.1k
  • Surfaces, Coatings and Films 194
  • Materials Chemistry 1.1k
Replace Jingxin Shao with:
Jingxin Shao China
Mingjun Xuan China
Ondřej Hovorka United Kingdom
Tung‐Chun Lee United Kingdom
Olivier Sandre France
Loai K. E. A. Abdelmohsen Netherlands
Francisco J. Terán Spain
Laura J. Kaufman United States
Chia‐Fu Chou Taiwan
Christine Ménager France
Luru Dai relative to Jingxin Shao China Jingxin Shao's profile →
Citations per field
00.5×1.5×2.1×
Jingxin Shao · 1×
Citations per year

Countries citing papers authored by Luru Dai

Since Specialization
Citations

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

Fields of papers citing papers by Luru Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20239
3 202119
4 2020122
5 201827
6 201829
7 201833
8 201734
9 201732
10 201641
11 201640
12 201628
13 2015119
14 201555
15 201548
16 20159
17 2014166
18 201471
19 201434
20 201148

About Luru Dai

Luru Dai is a scholar working on Biomaterials, Surfaces, Coatings and Films, Structural Biology, Biomedical Engineering and Condensed Matter Physics, having authored 46 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (14 papers), Micro and Nano Robotics (8 papers), Nanoparticle-Based Drug Delivery (8 papers), Luminescence and Fluorescent Materials (8 papers), Characterization and Applications of Magnetic Nanoparticles (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Metamaterials and Metasurfaces Applications (5 papers) and Supramolecular Self-Assembly in Materials (5 papers). The work is most often cited by research in Biomaterials (1.1k citations), Condensed Matter Physics (864 citations), Biomedical Engineering (2.1k citations), Surfaces, Coatings and Films (194 citations) and Materials Chemistry (1.1k citations). Luru Dai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jingxin Shao, Qiang He, Mingjun Xuan, Junbai Li, Qi Li, Tieyan Si, Zhiguang Wu, Jie Zhao, Yang Yang and Yi Jia. Their work appears in journals such as Angewandte Chemie International Edition, ACS Nano, ACS Applied Materials & Interfaces, Nanoscale and Scientific Reports.

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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