Marion Le Bideau

2.0k citations
23 papers · 1.3k indexed · 1 hit paper · h-index 14

Marion Le Bideau

22 papers receiving 1.2k citations

Hit Papers

Viral RNA load as determined by cell culture as a managem...20202026202220242020100200300400500

Peers

Marion Le Bideau
Comparison fields: 5 of 111
  • Infectious Diseases 940
  • Biomedical Engineering 209
  • Molecular Biology 185
  • Epidemiology 140
  • Neurology 134
Replace Yusha Araf with:
Yusha Araf Bangladesh
Franck Touret France
Shamsah H. Al-Ahmed Saudi Arabia
Subodh Kumar India
Mahmudul Hasan United States
Calvin J. Gordon Canada
Prathanporn Kaewpreedee Hong Kong
Julie Dyall United States
Scott Sellers United States
Marion Le Bideau relative to Yusha Araf Bangladesh Yusha Araf's profile →
Citations per field
00.5×5.7×
Yusha Araf · 1×
Citations per year

Countries citing papers authored by Marion Le Bideau

Since Specialization
Citations

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

Fields of papers citing papers by Marion Le Bideau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marion Le Bideau

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 23
3 29
4 5
5 16
6 8
7 14
8 8
9 6
10 46
11
Viral RNA load as determined by cell culture as a management tool for discharge of SARS-CoV-2 patients from infectious disease wardsbreakdown →
533
12 70
13 52
14 218
15 8
16 77
17 63
18 27
19 17
20 5

About Marion Le Bideau

Marion Le Bideau is a scholar working on Infectious Diseases, Virology and Parasitology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (17 papers), COVID-19 Clinical Research Studies (12 papers) and SARS-CoV-2 detection and testing (5 papers). The work is most often cited by research in Infectious Diseases (940 citations), Applied Microbiology and Biotechnology (27 citations) and Modeling and Simulation (49 citations). Marion Le Bideau has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Bernard La Scola, Julien Andréani, Didier Raoult, Philippe Colson, Clio Grimaldier, Philippe Gautret, Van Thuan Hoang, Priscilla Jardot, Manon Boxberger and Clara Rolland. Their work appears in journals such as International Journal of Molecular Sciences, Journal of Clinical Microbiology and Molecules.

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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