Duc‐Hau Le

1.7k total citations
52 papers, 1.1k citations indexed

About

Duc‐Hau Le is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Duc‐Hau Le has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 13 papers in Computational Theory and Mathematics and 11 papers in Cancer Research. Recurrent topics in Duc‐Hau Le's work include Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (14 papers) and Computational Drug Discovery Methods (13 papers). Duc‐Hau Le is often cited by papers focused on Bioinformatics and Genomic Networks (30 papers), Gene expression and cancer classification (14 papers) and Computational Drug Discovery Methods (13 papers). Duc‐Hau Le collaborates with scholars based in Vietnam, United States and South Korea. Duc‐Hau Le's co-authors include Yung‐Keun Kwon, Van-Huy Pham, Lê Hoàng Sơn, Dinh‐Toi Chu, Thin Nguyen, Võ Trương Như Ngọc, Yang Tao, Phạm Văn Tư, Tran Nguyen and Nguyễn Thị Minh Nguyệt and has published in prestigious journals such as Bioinformatics, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Duc‐Hau Le

49 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duc‐Hau Le Vietnam 18 675 209 123 117 100 52 1.1k
Péter Antal Hungary 23 423 0.6× 82 0.4× 131 1.1× 32 0.3× 119 1.2× 91 1.2k
Allison N. Tegge United States 18 497 0.7× 102 0.5× 89 0.7× 57 0.5× 153 1.5× 77 1.2k
Haohao Zhu China 15 337 0.5× 39 0.2× 94 0.8× 92 0.8× 56 0.6× 84 1.0k
Mona Zamanian Azodi Iran 18 523 0.8× 45 0.2× 28 0.2× 114 1.0× 81 0.8× 101 1.0k
Ye Liu China 18 395 0.6× 21 0.1× 54 0.4× 114 1.0× 72 0.7× 105 1.3k
Jiyuan An Australia 24 494 0.7× 113 0.5× 97 0.8× 224 1.9× 70 0.7× 58 1.4k
Ngan Nguyen Taiwan 14 261 0.4× 110 0.5× 77 0.6× 21 0.2× 43 0.4× 44 725
Rashmi B. Prasad Sweden 22 665 1.0× 19 0.1× 145 1.2× 99 0.8× 193 1.9× 88 1.7k
John S. House United States 19 315 0.5× 57 0.3× 103 0.8× 80 0.7× 114 1.1× 60 1.0k

Countries citing papers authored by Duc‐Hau Le

Since Specialization
Citations

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

Fields of papers citing papers by Duc‐Hau Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duc‐Hau Le

This figure shows the co-authorship network connecting the top 25 collaborators of Duc‐Hau Le. A scholar is included among the top collaborators of Duc‐Hau 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 Duc‐Hau Le. Duc‐Hau Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Le, Duc‐Hau. (2025). Improving computational drug repositioning through multi-source disease similarity networks. Scientific Reports. 15(1). 30773–30773.
2.
Le, Duc‐Hau, et al.. (2025). The interplay of assortativity, centrality, and robustness in human signaling networks: Implications for drug discovery. Chaos Solitons & Fractals. 194. 116254–116254.
3.
Nguyen, Tin, et al.. (2022). DrGA: cancer driver gene analysis in a simpler manner. BMC Bioinformatics. 23(1). 86–86. 1 indexed citations
4.
Le, Duc‐Hau, et al.. (2022). oCEM: Automatic detection and analysis of overlapping co-expressed gene modules. BMC Genomics. 23(1). 39–39. 3 indexed citations
5.
Nguyen, Tin, et al.. (2022). Identification and Validation of a Novel Three Hub Long Noncoding RNAs With m6A Modification Signature in Low-Grade Gliomas. Frontiers in Molecular Biosciences. 9. 801931–801931. 3 indexed citations
6.
Le, Duc‐Hau, et al.. (2021). Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(2). 710–717. 14 indexed citations
7.
Nguyen, Thin, et al.. (2021). Graph Convolutional Networks for Drug Response Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(1). 146–154. 107 indexed citations
8.
Yen, Nguyen Thi Hai, et al.. (2021). Re-Identification of Patient Subgroups in Uveal Melanoma. Frontiers in Oncology. 11. 731548–731548. 1 indexed citations
9.
Le, Duc‐Hau. (2021). A network-based method for predicting disease-associated enhancers. PLoS ONE. 16(12). e0260432–e0260432. 2 indexed citations
10.
Nguyen, Tran, et al.. (2020). Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses. PLoS ONE. 15(6). e0229276–e0229276. 36 indexed citations
11.
Le, Duc‐Hau, et al.. (2020). Improving existing analysis pipeline to identify and analyze cancer driver genes using multi-omics data. Scientific Reports. 10(1). 20521–20521. 9 indexed citations
12.
Chu, Dinh‐Toi, Nguyễn Thị Minh Nguyệt, Thien Chu Dinh, et al.. (2018). An update on physical health and economic consequences of overweight and obesity. Diabetes & Metabolic Syndrome Clinical Research & Reviews. 12(6). 1095–1100. 152 indexed citations
13.
Le, Duc‐Hau, et al.. (2018). Drug Repositioning by Integrating Known Disease-Gene and Drug-Target Associations in a Semi-supervised Learning Model. Acta Biotheoretica. 66(4). 315–331. 16 indexed citations
14.
Le, Duc‐Hau & Van-Huy Pham. (2018). Drug Response Prediction by Globally Capturing Drug and Cell Line Information in a Heterogeneous Network. Journal of Molecular Biology. 430(18). 2993–3004. 21 indexed citations
15.
Le, Duc‐Hau, Lieven P. C. Verbeke, Lê Hoàng Sơn, Dinh‐Toi Chu, & Van-Huy Pham. (2017). Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs. BMC Bioinformatics. 18(1). 479–479. 17 indexed citations
16.
Chu, Dinh‐Toi, Yang Tao, Lê Hoàng Sơn, & Duc‐Hau Le. (2016). Cell source, differentiation, functional stimulation, and potential application of human thermogenic adipocytes in vitro. Journal of Physiology and Biochemistry. 73(3). 315–321. 9 indexed citations
17.
Le, Duc‐Hau. (2015). Network-based ranking methods for prediction of novel disease associated microRNAs. Computational Biology and Chemistry. 58. 139–148. 35 indexed citations
18.
Le, Duc‐Hau & Yung‐Keun Kwon. (2013). Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization. Computational Biology and Chemistry. 44. 1–8. 45 indexed citations
19.
Le, Duc‐Hau & Yung‐Keun Kwon. (2012). GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection. Computational Biology and Chemistry. 37. 17–23. 43 indexed citations
20.

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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