Le Tu

1.1k citations
24 papers · 982 · 1 hit paper · h-index 15

Impact in

Papers in

Le Tu

23 papers receiving 934 citations

Le Tu's Hit Papers

Augmenting Cancer Therapy with a Supramolecular Immunogenic Cell Death Inducer: A Lysosome-Targeted NIR-Light-Activated Ruthenium(II) Metallacycle 2024 · 97 citations
970+1Years since publication255075

Peers

Le Tu
Comparison fields: 5 of 81
  • Biomedical Engineering 627
  • Biomaterials 119
  • Materials Chemistry 378
  • Biochemistry 44
  • Inorganic Chemistry 75
Replace Peihong Xiao with:
Peihong Xiao China
Joungyoun Noh South Korea
Weon Sup Shin South Korea
Xiangjie Luo China
Sajal Sen United States
Fen Qi China
Lili Teng China
Qunying Jiang China
Kai‐Cheng Yan China
Le Tu relative to Peihong Xiao China Peihong Xiao's profile →
Citations per field
00.5×1.5×
Peihong Xiao · 1×
Citations per year

Countries citing papers authored by Le Tu

Since Specialization
Citations

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

Fields of papers citing papers by Le Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022139
2 2023136
3 2023112
4
Augmenting Cancer Therapy with a Supramolecular Immunogenic Cell Death Inducer: A Lysosome-Targeted NIR-Light-Activated Ruthenium(II) Metallacycle
Hit paper breakdown →
202497
5 202272
6 202363
7 202360
8 202158
9 202255
10 202453
11 202028
12 202226
13 202222
14 202219
15 202317
16 20186
17 20225
18 20254
19 20213
20 20132

About Le Tu

Le Tu is a scholar working on Biomedical Engineering, Materials Chemistry, Electrochemistry, Biochemistry and Organic Chemistry, having authored 24 papers that have together received 982 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (15 papers), Luminescence and Fluorescent Materials (7 papers), Advanced Nanomaterials in Catalysis (4 papers), Photodynamic Therapy Research Studies (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Electrochemical Analysis and Applications (3 papers), Sulfur Compounds in Biology (2 papers) and Water Quality Monitoring and Analysis (2 papers). The work is most often cited by research in Biomedical Engineering (627 citations), Biomaterials (119 citations), Materials Chemistry (378 citations), Biochemistry (44 citations) and Inorganic Chemistry (75 citations). Le Tu has collaborated with scholars based in China, Vietnam and United States. Frequent co-authors include Yao Sun, Chonglu Li, Yuling Xu, Jong Seung Kim, Junrong Li, Yan Sun, Peter J. Stang, Amit Kumar Sharma, Qian Li and Wei Tuo. Their work appears in journals such as ACS Applied Materials & Interfaces, Angewandte Chemie International Edition, Chemical Science, Journal of Materials Chemistry B and Journal of the American Chemical Society.

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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