Quentin J. Leclerc

5.1k total citations · 1 hit paper
12 papers, 346 citations indexed

About

Quentin J. Leclerc is a scholar working on Molecular Medicine, Ecology and Modeling and Simulation. According to data from OpenAlex, Quentin J. Leclerc has authored 12 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Medicine, 4 papers in Ecology and 4 papers in Modeling and Simulation. Recurrent topics in Quentin J. Leclerc's work include Antibiotic Resistance in Bacteria (5 papers), COVID-19 epidemiological studies (4 papers) and Bacteriophages and microbial interactions (4 papers). Quentin J. Leclerc is often cited by papers focused on Antibiotic Resistance in Bacteria (5 papers), COVID-19 epidemiological studies (4 papers) and Bacteriophages and microbial interactions (4 papers). Quentin J. Leclerc collaborates with scholars based in United Kingdom, France and Belgium. Quentin J. Leclerc's co-authors include Gwenan M. Knight, Jodi A. Lindsay, Rumina Hasan, Christopher Finn McQuaid, Esther van Kleef, Clare Chandler, Karin Gallandat, Sam Willcocks, Naomi M. Fuller and R. E. Glover and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, PLoS Medicine and eLife.

In The Last Decade

Quentin J. Leclerc

10 papers receiving 339 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Antimicrobial resistance and COVID-19: Intersections and implications

2021 240 citations Gwenan M. Knight, R. E. Glover et al. eLife profile →

Peers

Quentin J. Leclerc

AMB

MM

ID

EPIDE

MB

Saïd El Hage Lebanon

Naomi M. Fuller United Kingdom

Patrice Savard Canada

Paola Amaral de Campos Brazil

Xinliang Liu China

Carlos L. Correa-Martínez Germany

Eid Azar Lebanon

RD Smith United Kingdom

Omar B. Ahmed Saudi Arabia

Alexander Sundermann United States

Saïd El Hage Lebanon

Quentin J. Leclerc

155 ×1.1

AMB

142 ×1.3

MM

46 ×0.7

ID

81 ×1.3

EPIDE

77 ×1.3

MB

Citations per year, relative to Quentin J. Leclerc Quentin J. Leclerc (= 1×) peers Saïd El Hage

Countries citing papers authored by Quentin J. Leclerc

Since Specialization

Citations

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

Fields of papers citing papers by Quentin J. Leclerc

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Quentin J. 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 Quentin J. Leclerc. The network helps show where Quentin J. Leclerc may publish in the future.

Co-authorship network of co-authors of Quentin J. Leclerc

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

All Works

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12 of 12 papers shown

1.

Bazan, A., L. Barrera Pulido, Quentin J. Leclerc, et al.. (2025). How to: share and reuse data—challenges and solutions from predicting the impact of monoclonal antibodies & vaccines on antimicrobial resistance project. Clinical Microbiology and Infection. 31(5). 753–760.

2.

Duval, Audrey, Quentin J. Leclerc, Didier Guillemot, Laura Temime, & Lulla Opatowski. (2024). An algorithm to build synthetic temporal contact networks based on close-proximity interactions data. PLoS Computational Biology. 20(6). e1012227–e1012227. 4 indexed citations

3.

Leclerc, Quentin J., Audrey Duval, Didier Guillemot, Lulla Opatowski, & Laura Temime. (2024). Using contact network dynamics to implement efficient interventions against pathogen spread in hospital settings: A modelling study. PLoS Medicine. 21(7). e1004433–e1004433.

4.

Leclerc, Quentin J., Helen Dunn, James Hatcher, et al.. (2023). Quantifying patient- and hospital-level antimicrobial resistance dynamics in Staphylococcus aureus from routinely collected data. Journal of Medical Microbiology. 72(7). 3 indexed citations

5.

Coletti, Pietro, James Wambua, Lander Willem, et al.. (2023). Longitudinal social contact data analysis: insights from 2 years of data collection in Belgium during the COVID-19 pandemic. BMC Public Health. 23(1). 1298–1298. 8 indexed citations

6.

Leclerc, Quentin J., Jodi A. Lindsay, & Gwenan M. Knight. (2022). Modelling the synergistic effect of bacteriophage and antibiotics on bacteria: Killers and drivers of resistance evolution. PLoS Computational Biology. 18(11). e1010746–e1010746. 16 indexed citations

7.

Leclerc, Quentin J., et al.. (2022). Growth-Dependent Predation and Generalized Transduction of Antimicrobial Resistance by Bacteriophage. mSystems. 7(2). e0013522–e0013522. 18 indexed citations

8.

Leclerc, Quentin J., Arya Gupta, Jodi A. Lindsay, & Gwenan M. Knight. (2022). An interdisciplinary approach to reveal the dynamics of generalized transduction of antimicrobial resistance genes. Access Microbiology. 4(5). 1 indexed citations

9.

Knight, Gwenan M., R. E. Glover, Christopher Finn McQuaid, et al.. (2021). Antimicrobial resistance and COVID-19: Intersections and implications. eLife. 10. 240 indexed citations breakdown →

10.

Jombart, Thibaut, Quentin J. Leclerc, Mark Jit, et al.. (2021). Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200266–20200266. 12 indexed citations

11.

Standaert, Baudouin, Christophe Sauboin, Quentin J. Leclerc, & Mark P. Connolly. (2020). Comparing the Analysis and Results of a Modified Social Accounting Matrix Framework with Conventional Methods of Reporting Indirect Non-Medical Costs. PharmacoEconomics. 39(2). 257–269. 2 indexed citations

12.

Leclerc, Quentin J., Jodi A. Lindsay, & Gwenan M. Knight. (2019). Mathematical modelling to study the horizontal transfer of antimicrobial resistance genes in bacteria: current state of the field and recommendations. Journal of The Royal Society Interface. 16(157). 20190260–20190260. 42 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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