Madly Brigitte

1.6k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Madly Brigitte is a scholar working on Oncology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Madly Brigitte has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Molecular Biology and 2 papers in Infectious Diseases. Recurrent topics in Madly Brigitte's work include CAR-T cell therapy research (2 papers), Muscle Physiology and Disorders (2 papers) and Viral Infections and Immunology Research (1 paper). Madly Brigitte is often cited by papers focused on CAR-T cell therapy research (2 papers), Muscle Physiology and Disorders (2 papers) and Viral Infections and Immunology Research (1 paper). Madly Brigitte collaborates with scholars based in France, United States and Switzerland. Madly Brigitte's co-authors include Fabrice Chrétien, Caroline Charlier, Samira Daou, Françoise Dromer, Kirsten Nielsen, Clémentine Schilte, Romain K. Gherardi, Olivier Disson, Yasmina Touret and Marc Lecuit and has published in prestigious journals such as PLoS ONE, Infection and Immunity and PLoS Pathogens.

In The Last Decade

Madly Brigitte

8 papers receiving 1.3k citations

Hit Papers

A Mouse Model for Chikungunya: Young Age and Inefficient ... 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madly Brigitte France 7 626 436 346 333 213 8 1.3k
Lydie Guigand France 18 491 0.8× 405 0.9× 251 0.7× 509 1.5× 105 0.5× 25 1.5k
Sidney N. Klaus Israel 25 368 0.6× 424 1.0× 323 0.9× 220 0.7× 193 0.9× 67 1.7k
Daria Bortolotti Italy 24 316 0.5× 289 0.7× 301 0.9× 326 1.0× 1.1k 5.1× 90 1.9k
Matthias Hesse United States 11 204 0.3× 260 0.6× 222 0.6× 279 0.8× 863 4.1× 16 1.9k
Susmit Suvas United States 24 189 0.3× 273 0.6× 604 1.7× 304 0.9× 1.6k 7.7× 51 2.5k
Yinghua Zhao China 18 315 0.5× 102 0.2× 86 0.2× 307 0.9× 374 1.8× 44 1.1k
Giovanni Salvatori Italy 24 276 0.4× 193 0.4× 171 0.5× 1.0k 3.0× 1.5k 7.0× 32 2.5k
Chenyan Shi China 15 289 0.5× 251 0.6× 83 0.2× 326 1.0× 107 0.5× 26 847
Julie Jameson United States 25 180 0.3× 115 0.3× 534 1.5× 424 1.3× 1.7k 7.8× 38 2.6k
Angela Wahl United States 20 585 0.9× 130 0.3× 304 0.9× 590 1.8× 787 3.7× 38 2.0k

Countries citing papers authored by Madly Brigitte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Madly Brigitte

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

All Works

8 of 8 papers shown
1.
Bouclier, Céline, Ivan Bièche, Madly Brigitte, et al.. (2015). IL-1β produced by aggressive breast cancer cells is one of the factors that dictate their interactions with mesenchymal stem cells through chemokine production. Oncotarget. 6(30). 29034–29047. 57 indexed citations
2.
Bossard, Carine, Muriel Busson, David Vindrieux, et al.. (2012). Potential Role of Estrogen Receptor Beta as a Tumor Suppressor of Epithelial Ovarian Cancer. PLoS ONE. 7(9). e44787–e44787. 100 indexed citations
3.
Vindrieux, David, Ludovic Le Corre, Jer‐Tsong Hsieh, et al.. (2011). Coxsackie and adenovirus receptor is a target and a mediator of estrogen action in breast cancer. Endocrine Related Cancer. 18(3). 311–321. 11 indexed citations
4.
Brigitte, Madly, Clémentine Schilte, Anne Plonquet, et al.. (2009). Muscle resident macrophages control the immune cell reaction in a mouse model of notexin‐induced myoinjury. Arthritis & Rheumatism. 62(1). 268–279. 147 indexed citations
5.
Couderc, Thérèse, Fabrice Chrétien, Clémentine Schilte, et al.. (2008). A Mouse Model for Chikungunya: Young Age and Inefficient Type-I Interferon Signaling Are Risk Factors for Severe Disease. PLoS Pathogens. 4(2). e29–e29. 486 indexed citations breakdown →
6.
Chazaud, Bénédicte, Madly Brigitte, Houda Yacoub‐Youssef, et al.. (2008). Dual and Beneficial Roles of Macrophages During Skeletal Muscle Regeneration. Exercise and Sport Sciences Reviews. 37(1). 18–22. 187 indexed citations
7.
Charlier, Caroline, Kirsten Nielsen, Samira Daou, et al.. (2008). Evidence of a Role for Monocytes in Dissemination and Brain Invasion byCryptococcus neoformans. Infection and Immunity. 77(1). 120–127. 287 indexed citations
8.
Brigitte, Madly & Fabrice Chrétien. (2005). La structure de la protéine prion et la relation avec son infectiosité. médecine/sciences. 21(10). 806–807. 1 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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