C Mayaud

3.1k citations
83 papers · 2.3k · h-index 28

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

C Mayaud

73 papers receiving 2.2k citations

Peers

C Mayaud
Comparison fields: 5 of 87
  • Virology 598
  • Immunology 702
  • Epidemiology 868
  • Infectious Diseases 428
  • Pulmonary and Respiratory Medicine 529
Replace Claire Rabian with:
Claire Rabian France
Laurence Gérard France
Harry L. Ioachim United States
Norah J. Shire United States
François Boué France
Gerd R. Pape Germany
Phuong L. Nguyen United States
Robert M. Hoffmann United States
Ana E. Sousa Portugal
Marina Karmochkine France
C Mayaud relative to Claire Rabian France Claire Rabian's profile →
Citations per field
00.5×1.5×2.5×
Claire Rabian · 1×
Citations per year

Countries citing papers authored by C Mayaud

Since Specialization
Citations

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

Fields of papers citing papers by C Mayaud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside C Mayaud, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C Mayaud Line = papers co-authored together C Mayaud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989274
2
Neutrophil alveolitis in bronchioloalveolar carcinoma: induction by tumor-derived interleukin-8 and relation to clinical outcome.
1998199
3 2009126
4 1988113
5 1989112
6 200981
7 199281
8 199975
9 200670
10 199166
11 199764
12 200164
13 198755
14 199154
15 199049
16 199344
17 198842
18 200041
19 199039
20 199637

About C Mayaud

C Mayaud is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Infectious Diseases, Immunology and Virology, having authored 83 papers that have together received 2.3k indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (32 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (14 papers), HIV Research and Treatment (12 papers), Pneumonia and Respiratory Infections (7 papers), Immune Cell Function and Interaction (7 papers), Tuberculosis Research and Epidemiology (7 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and HIV/AIDS Research and Interventions (5 papers). The work is most often cited by research in Virology (598 citations), Immunology (702 citations), Epidemiology (868 citations), Infectious Diseases (428 citations) and Pulmonary and Respiratory Medicine (529 citations). C Mayaud has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Brigitte Autran, Jacques Cadranel, Fernando Plata, B. Milleron, A. Parrot, Jean‐Marcel Guillon, G Akoun, Patrice Debré, Martine Antoine and E Vilmer. Their work appears in journals such as Thorax, CHEST Journal, European Respiratory Journal, The Journal of Immunology and American Journal of Respiratory and Critical Care Medicine.

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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