Mona Rigaud

1.4k total citations
25 papers, 758 citations indexed

About

Mona Rigaud is a scholar working on Infectious Diseases, Epidemiology and Virology. According to data from OpenAlex, Mona Rigaud has authored 25 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 13 papers in Epidemiology and 9 papers in Virology. Recurrent topics in Mona Rigaud's work include HIV/AIDS Research and Interventions (10 papers), HIV Research and Treatment (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). Mona Rigaud is often cited by papers focused on HIV/AIDS Research and Interventions (10 papers), HIV Research and Treatment (9 papers) and Pneumocystis jirovecii pneumonia detection and treatment (7 papers). Mona Rigaud collaborates with scholars based in United States, France and Cameroon. Mona Rigaud's co-authors include Henry Pollack, Jennifer Lighter, William Borkowsky, Keith Krasinski, Robert M. Lawrence, Sulachni Chandwani, Aditya Kaul, Eugene Leibovitz, Antoine Andremont and E. Bouvet and has published in prestigious journals such as New England Journal of Medicine, SHILAP Revista de lepidopterología and PEDIATRICS.

In The Last Decade

Mona Rigaud

24 papers receiving 709 citations

Peers

Mona Rigaud
Comparison fields: 5 of 75
  • Infectious Diseases 525
  • Epidemiology 369
  • Virology 233
  • Surgery 135
  • Immunology 121
Replace Carlo Concato with:
Carlo Concato Italy
Ingrid J. B. Spijkerman Netherlands
Paul Randell United Kingdom
Emanuele Palomba Italy
Lisa M. Cranmer United States
Elizabeth Maleche‐Obimbo Kenya
Andrea Kovacs United States
Vincent Bekker Netherlands
Sapna Bamrah Morris United States
Sanne Jespersen Denmark
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Citations per field, relative to Mona Rigaud
Mona Rigaud · 1×
Citations per year, relative to Mona Rigaud
Mona Rigaud · 1×

Countries citing papers authored by Mona Rigaud

Since Specialization
Citations

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

Fields of papers citing papers by Mona Rigaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona Rigaud

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Rigaud. A scholar is included among the top collaborators of Mona Rigaud 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 Mona Rigaud. Mona Rigaud 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
# Work Indexed citations
1 0
2 43
3 5
4 6
5 29
6 26
7 9
8 14
9 20
10 96
11 7
12 30
13 73
14 12
15
Polymerase chain reaction is more sensitive than standard cytologic stains in detecting Pneumocystis carinii in bronchoalveolar lavages from human immunodeficiency virus type 1-infected infants and children with pneumonia.
11
16 26
17 12
18 47
19 30
20 69

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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