Minh-Tri Le

92 papers receiving 1.2k citations

Peers

Minh-Tri Le
Comparison fields: 5 of 125
  • Biomaterials 170
  • Molecular Medicine 58
  • Computational Theory and Mathematics 156
  • Materials Chemistry 384
  • Pharmacology 121
Replace Hani A. Alhadrami with:
Hani A. Alhadrami Saudi Arabia
Hua Sun China
Sima Singh India
Ahmed Khames Saudi Arabia
Deliang Chen China
Manish S. Bhatia India
Peihui Yang China
Chenchen Wang China
Bina Gidwani India
Concepción Abad Spain
Minh-Tri Le relative to Hani A. Alhadrami Saudi Arabia Hani A. Alhadrami's profile →
Citations per field
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Hani A. Alhadrami · 1×
Citations per year

Countries citing papers authored by Minh-Tri Le

Since Specialization
Citations

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

Fields of papers citing papers by Minh-Tri Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199567
2 199564
3 199863
4 200861
5 199659
6 199755
7 201646
8 199742
9 202240
10 200140
11 201539
12 201634
13 201528
14 200823
15 202022
16 200522
17 202020
18 202019
19 202019
20 202218

About Minh-Tri Le

Minh-Tri Le is a scholar working on Materials Chemistry, Organic Chemistry, Electrical and Electronic Engineering, Molecular Biology and Computational Theory and Mathematics, having authored 102 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Power Transformer Diagnostics and Insulation (14 papers), High voltage insulation and dielectric phenomena (12 papers), Synthesis and biological activity (7 papers), Metal-Organic Frameworks: Synthesis and Applications (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Lignin and Wood Chemistry (5 papers) and Cytokine Signaling Pathways and Interactions (4 papers). The work is most often cited by research in Biomaterials (170 citations), Molecular Medicine (58 citations), Computational Theory and Mathematics (156 citations), Materials Chemistry (384 citations) and Pharmacology (121 citations). Minh-Tri Le has collaborated with scholars based in Vietnam, Australia and United Kingdom. Frequent co-authors include David J. T. Hill, M. Darveniza, Tapan Kumar Saha, Khac‐Minh Thai, Thanh‐Dao Tran, David J. Hill, Andrew K. Whittaker, Quoc‐Thai Nguyen, Dieu-Thuong Thi Trinh and Zainuddin Zainuddin. Their work appears in journals such as Molecules, SAR and QSAR in environmental research, Molecular Diversity, Journal of Biomolecular Structure and Dynamics and Polymer Degradation and Stability.

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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