Connie Le
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 detection and testing
- SARS-CoV-2 and COVID-19 Research
- Biomedical Engineering top 10%
- Biosensors and Analytical Detection
Papers in
-
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 3
- RNA Interference and Gene Delivery 2
- Surgery 6
- Infectious Diseases and Tuberculosis 2
- Co-authors
- X. Chris Le (5 shared papers)D. Lorne Tyrrell (6 shared papers)Jinjun Wu (3 shared papers)Hongquan Zhang (3 shared papers)Hanyong Peng (3 shared papers)Jeffrey Tao (2 shared papers)Wei Feng (2 shared papers)Ashley M. Newbigging (2 shared papers)
- Journals
- Analytical Chemistry (3 papers)Scientific Reports (1 paper)Journal of Applied Clinical Medical Physics (1 paper)Analytica Chimica Acta (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Connie Le
19 papers receiving 696 citations
Connie Le's Hit Papers
Peers
Comparison fields: 5 of 91
- Infectious Diseases 264
- Biomedical Engineering 311
- Molecular Biology 480
- Business and International Management 13
- Hepatology 21
Countries citing papers authored by Connie Le
This map shows the geographic impact of Connie 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 Connie Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Le more than expected).
Fields of papers citing papers by Connie Le
This network shows the impact of papers produced by Connie 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 Connie Le. The network helps show where Connie Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Connie 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 296 | |
| 2 | CRISPR technology incorporating amplification strategies: molecular assays for nucleic acids, proteins, and small molecules Hit paper breakdown → | 2021 | 232 |
| 3 | 2020 | 29 | |
| 4 | 2020 | 28 | |
| 5 | 2015 | 20 | |
| 6 | 2016 | 19 | |
| 7 | 2009 | 16 | |
| 8 | 2012 | 15 | |
| 9 | 2021 | 10 | |
| 10 | 2021 | 10 | |
| 11 | 2005 | 8 | |
| 12 | 2010 | 8 | |
| 13 | 2012 | 6 | |
| 14 | 2009 | 6 | |
| 15 | 2017 | 4 | |
| 16 | 2008 | 3 | |
| 17 | 2010 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Connie Le
Connie Le is a scholar working on Molecular Biology, Surgery, Epidemiology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 713 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (3 papers), Hepatitis B Virus Studies (3 papers), CRISPR and Genetic Engineering (3 papers), Eosinophilic Disorders and Syndromes (2 papers), Infectious Diseases and Tuberculosis (2 papers), RNA Interference and Gene Delivery (2 papers), Biosensors and Analytical Detection (2 papers) and Urticaria and Related Conditions (1 paper). The work is most often cited by research in Infectious Diseases (264 citations), Biomedical Engineering (311 citations), Molecular Biology (480 citations), Business and International Management (13 citations) and Hepatology (21 citations). Connie Le has collaborated with scholars based in Canada, United States and China. Frequent co-authors include X. Chris Le, D. Lorne Tyrrell, Jinjun Wu, Hongquan Zhang, Hanyong Peng, Jeffrey Tao, Wei Feng, Ashley M. Newbigging, Bo Pang and Yiren Cao. Their work appears in journals such as Analytical Chemistry, Scientific Reports, Journal of Applied Clinical Medical Physics, Analytica Chimica Acta and Drug Discovery Today.
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.