Yunlu Dai

19.1k citations
208 papers · 16.8k indexed · 12 hit papers · h-index 76

Impact in

Papers in

Yunlu Dai

207 papers receiving 16.6k citations

Hit Papers

Cuproptotic nanoinducer-driven proteotoxic stress potentiates cancer immunotherapy by activating the mtDNA–cGAS–STING signaling 2024 · 61 citations
612013202620172021250500750

Peers

Yunlu Dai
Comparison fields: 5 of 156
  • Biomaterials 4.1k
  • Biomedical Engineering 10.3k
  • Materials Chemistry 8.7k
  • Inorganic Chemistry 1.2k
  • Molecular Medicine 308
Replace Yijing Liu with:
Yijing Liu China
Ping’an Ma China
Qianjun He China
Aiguo Wu China
Ziliang Dong China
Guocan Yu China
Jibin Song China
Liangzhu Feng China
Zhong Luo China
Hangrong Chen China
Yunlu Dai relative to Yijing Liu China Yijing Liu's profile →
Citations per field
00.5×3.1×
Yijing Liu · 1×
Citations per year

Countries citing papers authored by Yunlu Dai

Since Specialization
Citations

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

Fields of papers citing papers by Yunlu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20254
2 20251
3 20251
4 202427
5 20241
6 202421
7 20249
8 20242
9 202329
10 202316
11 202015
12 201936
13 201921
14 201846
15
Toxic Reactive Oxygen Species Enhanced Synergistic Combination Therapy by Self‐Assembled Metal‐Phenolic Network Nanoparticles
Hit paper breakdown →
2018373
16 201765
17 201783
18 201771
19
Modular assembly of superstructures from polyphenol-functionalized building blocks
Hit paper breakdown →
2016443
20 201622

About Yunlu Dai

Yunlu Dai is a scholar working on Biomedical Engineering, Biomaterials, Materials Chemistry, Immunology and Inorganic Chemistry, having authored 208 papers that have together received 16.8k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (133 papers), Luminescence Properties of Advanced Materials (61 papers), Advanced Nanomaterials in Catalysis (36 papers), Luminescence and Fluorescent Materials (35 papers), Nanoparticle-Based Drug Delivery (35 papers), Immunotherapy and Immune Responses (15 papers), Immune cells in cancer (15 papers) and Extracellular vesicles in disease (14 papers). The work is most often cited by research in Biomaterials (4.1k citations), Biomedical Engineering (10.3k citations), Materials Chemistry (8.7k citations), Inorganic Chemistry (1.2k citations) and Molecular Medicine (308 citations). Yunlu Dai has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Jun Lin, Piaoping Yang, Shili Gai, Xiaoyuan Chen, Fei He, Ping’an Ma, Zhan Zhang, Ziyong Cheng, Wei Sang and Chunxia Li. Their work appears in journals such as Biomaterials, Advanced Functional Materials, Advanced Materials, ACS Nano and Small.

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

Rankless by CCL
2026