Jean‐Mathieu Leclerc

477 total citations
8 papers, 337 citations indexed

About

Jean‐Mathieu Leclerc is a scholar working on Endocrinology, Food Science and Genetics. According to data from OpenAlex, Jean‐Mathieu Leclerc has authored 8 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Endocrinology, 6 papers in Food Science and 3 papers in Genetics. Recurrent topics in Jean‐Mathieu Leclerc's work include Salmonella and Campylobacter epidemiology (6 papers), Escherichia coli research studies (3 papers) and Vibrio bacteria research studies (3 papers). Jean‐Mathieu Leclerc is often cited by papers focused on Salmonella and Campylobacter epidemiology (6 papers), Escherichia coli research studies (3 papers) and Vibrio bacteria research studies (3 papers). Jean‐Mathieu Leclerc collaborates with scholars based in Canada and United States. Jean‐Mathieu Leclerc's co-authors include France Daigle, Christine Lepage, Charles M. Dozois, Hervé Le Moual, Samantha Gruenheid, Jenny‐Lee Thomassin, John R. Brannon, Kristiana Salmon, Lei Zhu and Albert M. Berghuis and has published in prestigious journals such as Infection and Immunity, Microbiology and FEMS Microbiology Letters.

In The Last Decade

Jean‐Mathieu Leclerc

8 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐Mathieu Leclerc Canada 7 210 160 97 83 78 8 337
María Lorenzo United States 7 193 0.9× 83 0.5× 134 1.4× 122 1.5× 115 1.5× 7 425
Syed Fazle Rouf Sweden 8 129 0.6× 123 0.8× 167 1.7× 52 0.6× 58 0.7× 9 360
Quynh T. Tran United States 6 305 1.5× 213 1.3× 88 0.9× 124 1.5× 78 1.0× 9 427
Wen Deng China 4 209 1.0× 140 0.9× 149 1.5× 60 0.7× 120 1.5× 8 352
Ellen E. Higginson United States 10 179 0.9× 168 1.1× 101 1.0× 172 2.1× 53 0.7× 23 434
Matt Bawn United Kingdom 7 250 1.2× 141 0.9× 101 1.0× 45 0.5× 94 1.2× 17 339
H. Waxin France 6 198 0.9× 161 1.0× 77 0.8× 64 0.8× 75 1.0× 7 330
Wiebke Streckel Germany 8 190 0.9× 178 1.1× 53 0.5× 109 1.3× 72 0.9× 9 327
A A Heiba Egypt 2 221 1.1× 120 0.8× 94 1.0× 61 0.7× 93 1.2× 6 298
Thi Anh Hong Le Vietnam 6 213 1.0× 154 1.0× 82 0.8× 79 1.0× 77 1.0× 7 335

Countries citing papers authored by Jean‐Mathieu Leclerc

Since Specialization
Citations

This map shows the geographic impact of Jean‐Mathieu Leclerc'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 Jean‐Mathieu Leclerc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Mathieu Leclerc more than expected).

Fields of papers citing papers by Jean‐Mathieu Leclerc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Mathieu Leclerc. 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 Jean‐Mathieu Leclerc. The network helps show where Jean‐Mathieu Leclerc may publish in the future.

Co-authorship network of co-authors of Jean‐Mathieu Leclerc

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Mathieu Leclerc. A scholar is included among the top collaborators of Jean‐Mathieu Leclerc 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 Jean‐Mathieu Leclerc. Jean‐Mathieu Leclerc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Taylor, James A., Jean‐Mathieu Leclerc, John R. Brannon, et al.. (2019). Identification and characterization of OmpT‐like proteases in uropathogenic Escherichia coli clinical isolates. MicrobiologyOpen. 8(11). 27 indexed citations
2.
Leclerc, Jean‐Mathieu, Charles M. Dozois, & France Daigle. (2017). Salmonella enterica serovar Typhi siderophore production is elevated and Fur inactivation causes cell filamentation and attenuation in macrophages. FEMS Microbiology Letters. 364(15). 5 indexed citations
3.
Leclerc, Jean‐Mathieu, et al.. (2016). Regulation and production of Tcf, a cable-like fimbriae from Salmonella enterica serovar Typhi. Microbiology. 162(5). 777–788. 12 indexed citations
4.
Thomassin, Jenny‐Lee, Jean‐Mathieu Leclerc, Lei Zhu, et al.. (2016). Systematic Analysis of Two-Component Systems in Citrobacter rodentium Reveals Positive and Negative Roles in Virulence. Infection and Immunity. 85(2). 10 indexed citations
5.
Thomassin, Jenny‐Lee, Lei Zhu, Kristiana Salmon, et al.. (2015). The CpxRA Two-Component System Is Essential for Citrobacter rodentium Virulence. Infection and Immunity. 83(5). 1919–1928. 29 indexed citations
6.
Brannon, John R., David L. Burk, Jean‐Mathieu Leclerc, et al.. (2015). Inhibition of Outer Membrane Proteases of the Omptin Family by Aprotinin. Infection and Immunity. 83(6). 2300–2311. 23 indexed citations
7.
Leclerc, Jean‐Mathieu, Charles M. Dozois, & France Daigle. (2013). Role of the Salmonella enterica serovar Typhi Fur regulator and small RNAs RfrA and RfrB in iron homeostasis and interaction with host cells. Microbiology. 159(Pt_3). 591–602. 43 indexed citations
8.
Lepage, Christine, et al.. (2010). So similar, yet so different: uncovering distinctive features in the genomes of Salmonella enterica serovars Typhimurium and Typhi. FEMS Microbiology Letters. 305(1). 1–13. 188 indexed citations

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.

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