Madly Brigitte
Impact in
- Infectious Diseases top 2%
- Viral Infections and Vectors
- Antifungal resistance and susceptibility
- Viral Infections and Outbreaks Research
- Rehabilitation top 5%
- Exercise and Physiological Responses
Papers in ⓘ
- Co-authors
- Fabrice Chrétien (4 shared papers)Caroline Charlier (2 shared papers)Kirsten Nielsen (1 shared paper)Samira Daou (1 shared paper)Françoise Dromer (1 shared paper)Clémentine Schilte (2 shared papers)Romain K. Gherardi (2 shared papers)G. Barau (1 shared paper)
- Journals
- PLoS Pathogens (1 paper)Infection and Immunity (1 paper)Oncotarget (1 paper)Exercise and Sport Sciences Reviews (1 paper)Endocrine Related Cancer (1 paper)
- Partner nations
- FranceUnited StatesSwitzerland
In The Last Decade
Madly Brigitte
8 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Infectious Diseases 626
- Rehabilitation 108
- Public Health, Environmental and Occupational Health 436
- Virology 57
- Immunology 213
Countries citing papers authored by Madly Brigitte
This map shows the geographic impact of Madly Brigitte'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 Madly Brigitte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Madly Brigitte more than expected).
Fields of papers citing papers by Madly Brigitte
This network shows the impact of papers produced by Madly Brigitte. 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 Madly Brigitte. The network helps show where Madly Brigitte may publish in the future.
Co-authors
The 25 scholars most cited alongside Madly Brigitte, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A Mouse Model for Chikungunya: Young Age and Inefficient Type-I Interferon Signaling Are Risk Factors for Severe Disease Hit paper breakdown → | 2008 | 486 |
| 2 | 2008 | 287 | |
| 3 | 2008 | 187 | |
| 4 | 2009 | 147 | |
| 5 | 2012 | 100 | |
| 6 | 2015 | 57 | |
| 7 | 2011 | 11 | |
| 8 | 2005 | 1 |
About Madly Brigitte
Madly Brigitte is a scholar working on Virology, Oncology, Rehabilitation, Neurology and Reproductive Medicine, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include CAR-T cell therapy research (2 papers), Muscle Physiology and Disorders (2 papers), Nail Diseases and Treatments (1 paper), HIV Research and Treatment (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Neurological diseases and metabolism (1 paper), Chemokine receptors and signaling (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Infectious Diseases (626 citations), Rehabilitation (108 citations), Public Health, Environmental and Occupational Health (436 citations), Virology (57 citations) and Immunology (213 citations). Madly Brigitte has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Fabrice Chrétien, Caroline Charlier, Kirsten Nielsen, Samira Daou, Françoise Dromer, Clémentine Schilte, Romain K. Gherardi, G. Barau, Alain Michault and Philippe Desprès. Their work appears in journals such as PLoS Pathogens, Infection and Immunity, Oncotarget, Exercise and Sport Sciences Reviews and Endocrine Related Cancer.
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.