Le Deng

933 citations
25 papers · 797 · h-index 16

Impact in

    • Biosensors and Analytical Detection
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • RNA Interference and Gene Delivery

Papers in

Le Deng

25 papers receiving 790 citations

Peers

Le Deng
Comparison fields: 5 of 76
  • Biomedical Engineering 440
  • Molecular Biology 623
  • Electrochemistry 38
  • Biotechnology 34
  • Bioengineering 22
Replace Hyoyoung Mun with:
Hyoyoung Mun South Korea
Jiayu Wan China
Ju‐Young Byun South Korea
Katie A. Edwards United States
О. I. Guliy Russia
Lingyan Zheng China
Shengjun Bu China
Jingxuan Qiu China
Susana Liébana Spain
Yuhan Sun China
Le Deng relative to Hyoyoung Mun South Korea Hyoyoung Mun's profile →
Citations per field
00.5×1.5×
Hyoyoung Mun · 1×
Citations per year

Countries citing papers authored by Le Deng

Since Specialization
Citations

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

Fields of papers citing papers by Le Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014109
2 200099
3 200898
4 201161
5 200254
6 201052
7 200636
8 201433
9 201030
10 201530
11 200725
12 201523
13 201118
14 201518
15 201916
16 202016
17 201514
18 202213
19 202013
20 201413

About Le Deng

Le Deng is a scholar working on Molecular Biology, Biomedical Engineering, Ecology, Materials Chemistry and Infectious Diseases, having authored 25 papers that have together received 797 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (21 papers), Biosensors and Analytical Detection (16 papers), Bacteriophages and microbial interactions (7 papers), Quantum Dots Synthesis And Properties (3 papers), SARS-CoV-2 detection and testing (2 papers), Steroid Chemistry and Biochemistry (2 papers), Carbon and Quantum Dots Applications (2 papers) and Molecular Junctions and Nanostructures (2 papers). The work is most often cited by research in Biomedical Engineering (440 citations), Molecular Biology (623 citations), Electrochemistry (38 citations), Biotechnology (34 citations) and Bioengineering (22 citations). Le Deng has collaborated with scholars based in China and United States. Frequent co-authors include Zhihui Peng, Yi Ning, Feimeng Zhou, Yang Song, Junfeng Jiang, Guang Li, Zhang Chen, Yiping Zhou, Lan Zhang and Zhao Li. Their work appears in journals such as Microchimica Acta, Analytical Letters, Journal of Fluorescence, Biosensors and Bioelectronics and Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy.

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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