Jenny‐Lee Thomassin
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Escherichia coli research studies 10
-
- Antibiotic Resistance in Bacteria 6
- Co-authors
- Samantha Gruenheid (11 shared papers)Hervé Le Moual (9 shared papers)John R. Brannon (7 shared papers)Olivera Francetić (5 shared papers)Bernard F. Gibbs (1 shared paper)Jean‐Mathieu Leclerc (4 shared papers)Nikhil A. Thomas (2 shared papers)Guy Tran Van Nhieu (2 shared papers)
- Journals
- Infection and Immunity (4 papers)Journal of Bacteriology (2 papers)Gut Microbes (2 papers)Structure (1 paper)Journal of Animal Science (1 paper)
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Jenny‐Lee Thomassin
22 papers receiving 482 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 213
- Molecular Medicine 96
- Microbiology 101
- Genetics 128
- Food Science 62
Countries citing papers authored by Jenny‐Lee Thomassin
This map shows the geographic impact of Jenny‐Lee Thomassin'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 Jenny‐Lee Thomassin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny‐Lee Thomassin more than expected).
Fields of papers citing papers by Jenny‐Lee Thomassin
This network shows the impact of papers produced by Jenny‐Lee Thomassin. 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 Jenny‐Lee Thomassin. The network helps show where Jenny‐Lee Thomassin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jenny‐Lee Thomassin, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 85 | |
| 2 | 2017 | 57 | |
| 3 | 2017 | 43 | |
| 4 | 2019 | 34 | |
| 5 | 2015 | 30 | |
| 6 | 2013 | 28 | |
| 7 | 2011 | 24 | |
| 8 | 2015 | 24 | |
| 9 | 2012 | 22 | |
| 10 | 2013 | 21 | |
| 11 | 2012 | 19 | |
| 12 | 2012 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2015 | 12 | |
| 15 | 2024 | 12 | |
| 16 | 2016 | 10 | |
| 17 | 2023 | 8 | |
| 18 | 2019 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2011 | 6 |
About Jenny‐Lee Thomassin
Jenny‐Lee Thomassin is a scholar working on Endocrinology, Molecular Medicine, Microbiology, Food Science and Genetics, having authored 24 papers that have together received 488 indexed citations. Recurring topics across this work include Escherichia coli research studies (10 papers), Bacterial Genetics and Biotechnology (6 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Peptides and Activities (6 papers), Salmonella and Campylobacter epidemiology (3 papers), Bacteriophages and microbial interactions (3 papers), Bacterial biofilms and quorum sensing (3 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Endocrinology (213 citations), Molecular Medicine (96 citations), Microbiology (101 citations), Genetics (128 citations) and Food Science (62 citations). Jenny‐Lee Thomassin has collaborated with scholars based in Canada, France and United States. Frequent co-authors include Samantha Gruenheid, Hervé Le Moual, John R. Brannon, Olivera Francetić, Bernard F. Gibbs, Jean‐Mathieu Leclerc, Nikhil A. Thomas, Guy Tran Van Nhieu, Javier Santos‐Moreno and Ingrid Guilvout. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Gut Microbes, Structure and Journal of Animal Science.
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.