Marion Leterrier

704 total citations
10 papers, 227 citations indexed

About

Marion Leterrier is a scholar working on Infectious Diseases, Parasitology and Epidemiology. According to data from OpenAlex, Marion Leterrier has authored 10 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Parasitology and 3 papers in Epidemiology. Recurrent topics in Marion Leterrier's work include Parasitic Infections and Diagnostics (6 papers), Amoebic Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Marion Leterrier is often cited by papers focused on Parasitic Infections and Diagnostics (6 papers), Amoebic Infections and Treatments (5 papers) and Viral gastroenteritis research and epidemiology (3 papers). Marion Leterrier collaborates with scholars based in France, Sweden and Switzerland. Marion Leterrier's co-authors include Florent Morio, Patrice Le Pape, M. Miègeville, Céline Nourrisson, Christelle Pomarès, Yohann Le Govic, Frédéric Dalle, Stéphane Valot, Nicolas Argy and Guillaume Désoubeaux and has published in prestigious journals such as Journal of Clinical Microbiology, Clinical Microbiology and Infection and European Journal of Clinical Microbiology & Infectious Diseases.

In The Last Decade

Marion Leterrier

10 papers receiving 225 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Leterrier France 10 157 124 74 25 24 10 227
L. Macfarlane United Kingdom 5 120 0.8× 93 0.8× 120 1.6× 13 0.5× 12 0.5× 6 242
Françoise Drouet France 8 93 0.6× 138 1.1× 42 0.6× 27 1.1× 8 0.3× 8 231
Farah Barakat United Kingdom 8 99 0.6× 170 1.4× 52 0.7× 9 0.4× 17 0.7× 13 256
Enedina Jiménez Cardoso Mexico 10 222 1.4× 239 1.9× 54 0.7× 4 0.2× 38 1.6× 39 362
Laura E. Carreto-Binaghi Mexico 9 126 0.8× 33 0.3× 151 2.0× 18 0.7× 24 1.0× 22 262
Sana Arif United States 8 73 0.5× 27 0.2× 161 2.2× 30 1.2× 47 2.0× 39 268
A M Deluol France 8 127 0.8× 124 1.0× 176 2.4× 5 0.2× 35 1.5× 14 322
Mary Ann Waldron United States 8 220 1.4× 238 1.9× 80 1.1× 6 0.2× 15 0.6× 11 417
H Rozsypal Czechia 9 59 0.4× 93 0.8× 137 1.9× 72 2.9× 27 1.1× 31 239
Barbora Bezděková Czechia 11 73 0.5× 46 0.4× 68 0.9× 11 0.4× 40 1.7× 23 266

Countries citing papers authored by Marion Leterrier

Since Specialization
Citations

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

Fields of papers citing papers by Marion Leterrier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion Leterrier. 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 Marion Leterrier. The network helps show where Marion Leterrier may publish in the future.

Co-authorship network of co-authors of Marion Leterrier

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

All Works

10 of 10 papers shown
2.
Morio, Florent, Patrice Le Pape, Thomas Guimard, et al.. (2020). Ibrutinib, a Bruton's tyrosine kinase inhibitor, a new risk factor for cryptococcosis. Médecine et Maladies Infectieuses. 50(8). 742–745. 11 indexed citations
3.
Morio, Florent, Philippe Poirier, Yohann Le Govic, et al.. (2019). Assessment of the first commercial multiplex PCR kit (ParaGENIE Crypto-Micro Real-Time PCR) for the detection of Cryptosporidium spp., Enterocytozoon bieneusi, and Encephalitozoon intestinalis from fecal samples. Diagnostic Microbiology and Infectious Disease. 95(1). 34–37. 16 indexed citations
4.
Valot, Stéphane, Guillaume Désoubeaux, Nicolas Argy, et al.. (2018). Rapid diagnostic tests relying on antigen detection from stool as an efficient point of care testing strategy for giardiasis and cryptosporidiosis? Evaluation of a new immunochromatographic duplex assay. Diagnostic Microbiology and Infectious Disease. 93(1). 33–36. 10 indexed citations
7.
Leterrier, Marion, et al.. (2013). Multilocus Sequence Typing of Pneumocystis jirovecii from Clinical Samples: How Many and Which Loci Should Be Used?. Journal of Clinical Microbiology. 51(9). 2843–2849. 49 indexed citations
8.
Talarmin, Jean‐Philippe, Marion Leterrier, E. Cassagnau, et al.. (2012). Phaeohyphomycosis due toAlternaria infectoria: a single-center experience with utility of PCR for diagnosis and species identification. Medical Mycology. 50(6). 594–600. 9 indexed citations
9.
Leterrier, Marion, et al.. (2012). Trichomonads in pleural effusion: case report, literature review and utility of PCR for species identification.. PubMed. 35(1). 83–7. 29 indexed citations
10.
Leterrier, Marion, Thomas Fréour, A. Guillouzouic, et al.. (2010). Semen cultures analysis: retrospective study during a 6-year period and interest in the management of infertility. European Journal of Clinical Microbiology & Infectious Diseases. 30(3). 401–406. 9 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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