Ngoc Le

509 total citations
10 papers, 392 citations indexed

About

Ngoc Le is a scholar working on Molecular Biology, Computational Theory and Mathematics and Polymers and Plastics. According to data from OpenAlex, Ngoc Le has authored 10 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Computational Theory and Mathematics and 2 papers in Polymers and Plastics. Recurrent topics in Ngoc Le's work include RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Computational Drug Discovery Methods (2 papers). Ngoc Le is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Computational Drug Discovery Methods (2 papers). Ngoc Le collaborates with scholars based in United States, Taiwan and Vietnam. Ngoc Le's co-authors include Theresa M. Reineke, Ramya Kumar, Mary E. Brown, Zhe Tan, Shan Jiang, Natalie V. Hudson-Smith, Rebeca S. Rodriguez, Christy L. Haynes, Jiayi He and Hyunho Kang and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and ACS Applied Materials & Interfaces.

In The Last Decade

Ngoc Le

9 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ngoc Le United States 8 183 110 97 73 46 10 392
Fataneh Fatemi Iran 12 187 1.0× 84 0.8× 112 1.2× 106 1.5× 14 0.3× 24 413
Tianyi Wu Canada 5 120 0.7× 301 2.7× 222 2.3× 104 1.4× 22 0.5× 9 585
Hsueh-Liang Chu Taiwan 11 92 0.5× 177 1.6× 81 0.8× 64 0.9× 77 1.7× 17 408
Shuhei Murayama Japan 14 137 0.7× 142 1.3× 103 1.1× 28 0.4× 75 1.6× 34 418
Sherry S.W. Leung Canada 9 290 1.6× 57 0.5× 75 0.8× 18 0.2× 73 1.6× 10 418
Wenbin Liu China 11 66 0.4× 250 2.3× 61 0.6× 40 0.5× 50 1.1× 26 506
O. Tolga Gül United States 12 158 0.9× 185 1.7× 120 1.2× 31 0.4× 32 0.7× 23 418
Junhua Wu China 12 155 0.8× 111 1.0× 58 0.6× 72 1.0× 44 1.0× 35 470
Kamila Sofińska Poland 12 132 0.7× 30 0.3× 102 1.1× 33 0.5× 22 0.5× 31 388
Andreea Campu Romania 12 153 0.8× 102 0.9× 243 2.5× 125 1.7× 13 0.3× 23 371

Countries citing papers authored by Ngoc Le

Since Specialization
Citations

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

Fields of papers citing papers by Ngoc Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ngoc Le

This figure shows the co-authorship network connecting the top 25 collaborators of Ngoc Le. A scholar is included among the top collaborators of Ngoc Le based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ngoc Le. Ngoc Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Le, Ngoc, Jin-Hua Chen, Min‐Huei Hsu, et al.. (2025). Potential Protective Effect of Hepatitis B Immunity Against Diabetes Mellitus: A Retrospective Propensity-Matched Cohort Study. Diagnostics. 15(13). 1610–1610.
2.
Oviedo, Felipe, et al.. (2024). Synergistic Polymer Blending Informs Efficient Terpolymer Design and Machine Learning Discerns Performance Trends for pDNA Delivery. Bioconjugate Chemistry. 35(7). 897–911. 7 indexed citations
3.
Kumar, Ramya, Ngoc Le, Felipe Oviedo, Mary E. Brown, & Theresa M. Reineke. (2022). Combinatorial Polycation Synthesis and Causal Machine Learning Reveal Divergent Polymer Design Rules for Effective pDNA and Ribonucleoprotein Delivery. SHILAP Revista de lepidopterología. 2(2). 428–442. 42 indexed citations
4.
Đăng, Lương Hữu, et al.. (2021). Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features. Cells. 10(11). 3092–3092. 19 indexed citations
5.
Dorris, Austin, Ngoc Le, Mahavir B. Chougule, et al.. (2020). Self-Assembling PCL–PAMAM Linear Dendritic Block Copolymers (LDBCs) for Bioimaging and Phototherapeutic Applications. ACS Applied Bio Materials. 3(9). 5664–5677. 22 indexed citations
6.
Lam, Luu Ho Thanh, Ngoc Le, Truong Nguyen Khanh Hung, et al.. (2020). Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences. Biology. 9(10). 325–325. 60 indexed citations
7.
8.
Rodriguez, Rebeca S., Jiayi He, Natalie V. Hudson-Smith, et al.. (2018). Molecular Affinity Agents for Intrinsic Surface-Enhanced Raman Scattering (SERS) Sensors. ACS Applied Materials & Interfaces. 10(38). 31825–31844. 93 indexed citations
9.
McNamara, Louis E., Suong T. Nguyen, Ngoc Le, et al.. (2017). Near-Infrared Fluorescent Thienothiadiazole Dyes with Large Stokes Shifts and High Photostability. The Journal of Organic Chemistry. 82(11). 5597–5606. 32 indexed citations
10.
Cheema, Hammad, Louis E. McNamara, Ngoc Le, et al.. (2017). Molecular Engineering of Near Infrared Absorbing Thienopyrazine Double Donor Double Acceptor Organic Dyes for Dye-Sensitized Solar Cells. The Journal of Organic Chemistry. 82(23). 12038–12049. 25 indexed citations

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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