Ly Le

90 papers receiving 1.9k citations

Ly Le's Hit Papers

Bioactive Compounds in Anti-Diabetic Plants: From Herbal Medicine to Modern Drug Discovery 2020 · 326 citations
3260+2+4Years since publication100200300

Peers

Ly Le
Comparison fields: 5 of 149
  • Drug Discovery 5
  • Computational Theory and Mathematics 345
  • Pharmacology 158
  • Biochemistry 100
  • Endocrinology, Diabetes and Metabolism 245
Replace Ivone Carvalho with:
Ivone Carvalho Brazil
Subhash Chandra India
Koneni V. Sashidhara India
Sargis Dallakyan United States
Mohammad Hassan Baig South Korea
Mario E. Valdés‐Tresanco Cuba
İsmail Çeli̇k Türkiye
Shanshan Wang China
Pedro A. Valiente Cuba
Mario S. Valdés‐Tresanco Colombia
Ly Le relative to Ivone Carvalho Brazil Ivone Carvalho's profile →
Citations per field
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Ivone Carvalho · 1×
Citations per year

Countries citing papers authored by Ly Le

Since Specialization
Citations

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

Fields of papers citing papers by Ly Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Bioactive Compounds in Anti-Diabetic Plants: From Herbal Medicine to Modern Drug Discovery
Hit paper breakdown →
2020326
2 2018141
3 2020116
4 2019107
5 201073
6 202166
7 202258
8 201050
9 201643
10 202042
11 201942
12 201836
13 202134
14 201633
15 202229
16 202026
17 201225
18 202022
19 201122
20 202022

About Ly Le

Ly Le is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Epidemiology and Electrical and Electronic Engineering, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Influenza Virus Research Studies (12 papers), Protein Structure and Dynamics (11 papers), Enzyme Catalysis and Immobilization (8 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), RNA and protein synthesis mechanisms (6 papers) and Advanced Photocatalysis Techniques (5 papers). The work is most often cited by research in Drug Discovery (5 citations), Computational Theory and Mathematics (345 citations), Pharmacology (158 citations), Biochemistry (100 citations) and Endocrinology, Diabetes and Metabolism (245 citations). Ly Le has collaborated with scholars based in Vietnam, South Korea and United States. Frequent co-authors include Ngan Tran, Pham The Bao, Eric H. Lee, Valeria Molinero, Thanh N. Truong, Thanh‐Hoang Nguyen‐Vo, Van V. Vu, Sơn Tùng Ngô, Duc-Hung Pham and Ioan Andricioaei. Their work appears in journals such as Journal of Chemical Information and Modeling, Current Pharmaceutical Design, International Journal of Hydrogen Energy, Proceedings of the National Academy of Sciences and International Journal of Molecular Sciences.

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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