Keith Pardee
Impact in
- Molecular Biology top 2%
- CRISPR and Genetic Engineering
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
- Viral Infectious Diseases and Gene Expression in Insects
Papers in
-
- SARS-CoV-2 detection and testing 8
- SARS-CoV-2 and COVID-19 Research 4
-
- CRISPR and Genetic Engineering 14
- Advanced biosensing and bioanalysis techniques 12
- Gene Regulatory Network Analysis 4
- Advanced Biosensing Techniques and Applications 4
- Co-authors
- James J. Collins (6 shared papers)Tom Ferrante (4 shared papers)Alexander A. Green (8 shared papers)Shimyn Slomovic (2 shared papers)Nina M. Donghia (3 shared papers)Jeong Wook Lee (2 shared papers)Duo Ma (2 shared papers)Melissa K. Takahashi (2 shared papers)
- Journals
- Cell (4 papers)Journal of Visualized Experiments (3 papers)Science Advances (3 papers)Nature Communications (3 papers)PLoS ONE (3 papers)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Keith Pardee
47 papers receiving 4.4k citations
Keith Pardee's Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 3.2k
- Business and International Management 71
- Infectious Diseases 522
- Biomedical Engineering 1.2k
- Biotechnology 169
Countries citing papers authored by Keith Pardee
This map shows the geographic impact of Keith Pardee'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 Keith Pardee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Pardee more than expected).
Fields of papers citing papers by Keith Pardee
This network shows the impact of papers produced by Keith Pardee. 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 Keith Pardee. The network helps show where Keith Pardee may publish in the future.
Co-authors
The 25 scholars most cited alongside Keith Pardee, 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 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components Hit paper breakdown → | 2016 | 1199 |
| 2 | Paper-Based Synthetic Gene Networks Hit paper breakdown → | 2014 | 585 |
| 3 | 2016 | 300 | |
| 4 | 2014 | 280 | |
| 5 | 2015 | 264 | |
| 6 | 2005 | 221 | |
| 7 | 2019 | 126 | |
| 8 | 2009 | 116 | |
| 9 | 2019 | 107 | |
| 10 | 2018 | 107 | |
| 11 | 2019 | 91 | |
| 12 | 2018 | 89 | |
| 13 | 2021 | 86 | |
| 14 | 2003 | 72 | |
| 15 | 2022 | 72 | |
| 16 | 2009 | 70 | |
| 17 | 2022 | 70 | |
| 18 | 2020 | 67 | |
| 19 | 2023 | 57 | |
| 20 | 2023 | 56 |
About Keith Pardee
Keith Pardee is a scholar working on Infectious Diseases, Molecular Biology, Biomedical Engineering, Public Health, Environmental and Occupational Health and Endocrine and Autonomic Systems, having authored 48 papers that have together received 4.5k indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (17 papers), CRISPR and Genetic Engineering (14 papers), Advanced biosensing and bioanalysis techniques (12 papers), SARS-CoV-2 detection and testing (8 papers), Mosquito-borne diseases and control (8 papers), Gene Regulatory Network Analysis (4 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Advanced Biosensing Techniques and Applications (4 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Business and International Management (71 citations), Infectious Diseases (522 citations), Biomedical Engineering (1.2k citations) and Biotechnology (169 citations). Keith Pardee has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include James J. Collins, Tom Ferrante, Alexander A. Green, Shimyn Slomovic, Nina M. Donghia, Jeong Wook Lee, Duo Ma, Melissa K. Takahashi, Peng Yin and D. Ewen Cameron. Their work appears in journals such as Cell, Journal of Visualized Experiments, Science Advances, Nature Communications and PLoS ONE.
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.