Si Quang Le
- Molecular Biology top 5%
- Genetics top 2%
- Plant Science top 5%
- Ecology top 5%
- Insect Science top 2%
- Co-authors
- Olivier GascuelNicolas LartillotCuong Cao DangRichard DurbinTu Bao HoLê Sỹ VinhRajesh KharbandaTheodoros D. Karamitsos
- Topics
- Genomics and Phylogenetic Studies (13 papers)Genetic diversity and population structure (5 papers)Data Mining Algorithms and Applications (4 papers)
- Journals
- BioinformaticsPhilosophical Transactions of the Royal Society B Biological SciencesGenome Research
- Partner nations
- United KingdomVietnamFrance
In The Last Decade
Si Quang Le
31 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 2.1k
- Genetics 793
- Plant Science 683
- Ecology 623
- Insect Science 264
Countries citing papers authored by Si Quang Le
This map shows the geographic impact of Si Quang 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 Si Quang Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Quang Le more than expected).
Fields of papers citing papers by Si Quang Le
This network shows the impact of papers produced by Si Quang 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 Si Quang Le. The network helps show where Si Quang Le may publish in the future.
Co-authorship network of co-authors of Si Quang Le
This figure shows the co-authorship network connecting the top 25 collaborators of Si Quang Le. A scholar is included among the top collaborators of Si Quang 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 Si Quang Le. Si Quang Le is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 18 | |
| 3 | 22 | |
| 4 | Ancient alleles and complex structural variation of pathogen receptors at the glycophorin locus | 1 |
| 5 | 106 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 27 | |
| 10 | 154 | |
| 11 | 223 | |
| 12 | 110 | |
| 13 | 73 | |
| 14 | 45 | |
| 15 | 158 | |
| 16 | An Improved General Amino Acid Replacement Matrixbreakdown → | 2350 |
| 17 | 254 | |
| 18 | Temporal abstraction and data mining with visualization of laboratory data. | 6 |
| 19 | 55 | |
| 20 | Similarity measures for complex data | 1 |
About Si Quang Le
Si Quang Le is a scholar working on Genetics, Signal Processing and Molecular Biology, having authored 31 papers that have together received 3.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (5 papers) and Data Mining Algorithms and Applications (4 papers). The work is most often cited by research in Paleontology (245 citations), Molecular Biology (2.1k citations) and Genetics (793 citations). Si Quang Le has collaborated with scholars based in United Kingdom, Vietnam and France. Frequent co-authors include Olivier Gascuel, Nicolas Lartillot, Cuong Cao Dang, Richard Durbin, Tu Bao Ho, Lê Sỹ Vinh, Rajesh Kharbanda, Theodoros D. Karamitsos, Adrian Banning and Erica Dall’Armellina. Their work appears in journals such as Bioinformatics, Philosophical Transactions of the Royal Society B Biological Sciences and Genome Research.
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.