Shawn French
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria 14
- Microbiology top 1%
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- Computational Drug Discovery Methods 4
- Health Informatics top 5%
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- Bacterial Genetics and Biotechnology 14
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- Bacterial biofilms and quorum sensing 7
- RNA and protein synthesis mechanisms 7
- CRISPR and Genetic Engineering 5
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- Microbial Natural Products and Biosynthesis 6
- Antibiotics Pharmacokinetics and Efficacy 4
- Co-authors
- Eric D. BrownJonathan StokesCraig R. MacNairMaya A. FarhaJames J. CollinsLindsey A. CarfraeIan W. AndrewsAndrés Cubillos-Ruiz
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Shawn French
36 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Molecular Medicine 695
- Applied Microbiology and Biotechnology 99
- Microbiology 302
- Computational Theory and Mathematics 583
- Health Informatics 40
Countries citing papers authored by Shawn French
This map shows the geographic impact of Shawn French'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 Shawn French with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shawn French more than expected).
Fields of papers citing papers by Shawn French
This network shows the impact of papers produced by Shawn French. 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 Shawn French. The network helps show where Shawn French may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shawn French, 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 | 2025 | 4 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 48 | |
| 5 | 2023 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2020 | 25 | |
| 10 | 2019 | 30 | |
| 11 | 2018 | 16 | |
| 12 | 2017 | 22 | |
| 13 | 2017 | 268 | |
| 14 | 2017 | 9 | |
| 15 | 2016 | 68 | |
| 16 | 2016 | 53 | |
| 17 | 2016 | 87 | |
| 18 | 2016 | 33 | |
| 19 | 2015 | 76 | |
| 20 | 2013 | 3 |
About Shawn French
Shawn French is a scholar working on Molecular Medicine, Pharmacology, Biophysics, Genetics and Applied Microbiology and Biotechnology, having authored 37 papers that have together received 2.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Bacterial Genetics and Biotechnology (14 papers), Bacterial biofilms and quorum sensing (7 papers), RNA and protein synthesis mechanisms (7 papers), Microbial Natural Products and Biosynthesis (6 papers), CRISPR and Genetic Engineering (5 papers), Computational Drug Discovery Methods (4 papers) and Antibiotics Pharmacokinetics and Efficacy (4 papers). The work is most often cited by research in Molecular Medicine (695 citations), Applied Microbiology and Biotechnology (99 citations), Microbiology (302 citations), Computational Theory and Mathematics (583 citations) and Health Informatics (40 citations). Shawn French has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Eric D. Brown, Jonathan Stokes, Craig R. MacNair, Maya A. Farha, James J. Collins, Lindsey A. Carfrae, Ian W. Andrews, Andrés Cubillos-Ruiz, Anush Chiappino-Pepe and Nina M. Donghia. Their work appears in journals such as mBio, ACS Infectious Diseases, Nature Microbiology, Nature Communications and Antimicrobial Agents and Chemotherapy.
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.