Sean C. Taylor
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Plant Science top 10%
- Cancer Research top 10%
- Genetics top 10%
- Co-authors
- Marie NguyenAnton PoschHugo GermainMarwan AlsarrajClaude LachanceMeysam AbbasiGuy BoivinJulie Carbonneau
- Topics
- Molecular Biology Techniques and Applications (7 papers)SARS-CoV-2 and COVID-19 Research (4 papers)SARS-CoV-2 detection and testing (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsJournal of Clinical Microbiology
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sean C. Taylor
17 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.3k
- Infectious Diseases 297
- Plant Science 241
- Cancer Research 230
- Genetics 213
Countries citing papers authored by Sean C. Taylor
This map shows the geographic impact of Sean C. Taylor'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 Sean C. Taylor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean C. Taylor more than expected).
Fields of papers citing papers by Sean C. Taylor
This network shows the impact of papers produced by Sean C. Taylor. 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 Sean C. Taylor. The network helps show where Sean C. Taylor may publish in the future.
Co-authorship network of co-authors of Sean C. Taylor
This figure shows the co-authorship network connecting the top 25 collaborators of Sean C. Taylor. A scholar is included among the top collaborators of Sean C. Taylor 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 Sean C. Taylor. Sean C. Taylor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 22 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 95 | |
| 9 | The Ultimate qPCR Experiment: Producing Publication Quality, Reproducible Data the First Timebreakdown → | 550 |
| 10 | Droplet Digital PCR versus qPCR for gene expression analysis with low abundant targets: from variable nonsense to publication quality databreakdown → | 416 |
| 11 | 109 | |
| 12 | 282 | |
| 13 | 294 | |
| 14 | 73 | |
| 15 | 61 | |
| 16 | 5 | |
| 17 | A practical approach to RT-qPCR—Publishing data that conform to the MIQE guidelinesbreakdown → | 572 |
| 18 | 20 |
About Sean C. Taylor
Sean C. Taylor is a scholar working on Family Practice, Infectious Diseases and Biophysics, having authored 18 papers that have together received 2.5k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (7 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Infectious Diseases (297 citations) and Cancer Research (230 citations). Sean C. Taylor has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Marie Nguyen, Anton Posch, Hugo Germain, Marwan Alsarraj, Claude Lachance, Meysam Abbasi, Guy Boivin, Julie Carbonneau, Dawne N. Shelton and Jamil N. Kanji. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Journal of Clinical Microbiology.
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.