Ly Le
Impact in
- Drug Discovery top 2%
-
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 17
-
- Protein Structure and Dynamics 11
- Enzyme Catalysis and Immobilization 8
- Microbial Metabolic Engineering and Bioproduction 7
- RNA and protein synthesis mechanisms 6
- Co-authors
- Ngan TranPham The BaoEric H. LeeValeria MolineroThanh N. TruongThanh‐Hoang Nguyen‐VoVan V. VuDuc-Hung Pham
- Journals
- Journal of Chemical Information and Modeling (7 papers)Current Pharmaceutical Design (3 papers)Evolutionary Bioinformatics (2 papers)Medicinal Chemistry Research (2 papers)International Journal of Hydrogen Energy (2 papers)
- Partner nations
- VietnamSouth KoreaUnited States
In The Last Decade
Ly Le
90 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Drug Discovery 5
- Computational Theory and Mathematics 357
- Pharmacology 161
- Biochemistry 99
- Endocrinology, Diabetes and Metabolism 244
Countries citing papers authored by Ly Le
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 9 | |
| 8 | 2022 | 55 | |
| 9 | 2022 | 28 | |
| 10 | 2021 | 63 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 40 | |
| 14 | 2019 | 4 | |
| 15 | 2019 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2016 | 4 | |
| 18 | 2016 | 15 | |
| 19 | 2014 | 0 | |
| 20 | 2010 | 21 |
About Ly Le
Ly Le is a scholar working on Computational Theory and Mathematics, Molecular Biology, Pharmacology, Renewable Energy, Sustainability and the Environment and Toxicology, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 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), RNA and protein synthesis mechanisms (6 papers), Copper-based nanomaterials and applications (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). The work is most often cited by research in Drug Discovery (5 citations), Computational Theory and Mathematics (357 citations), Pharmacology (161 citations), Biochemistry (99 citations) and Endocrinology, Diabetes and Metabolism (244 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, Duc-Hung Pham, Sơn Tùng Ngô and Hung Van Nguyen. Their work appears in journals such as Journal of Chemical Information and Modeling, Current Pharmaceutical Design, Evolutionary Bioinformatics, Medicinal Chemistry Research and International Journal of Hydrogen Energy.
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.