Maud Maho‐Vaillant

1.6k total citations
15 papers, 403 citations indexed

About

Maud Maho‐Vaillant is a scholar working on Pathology and Forensic Medicine, Hematology and Genetics. According to data from OpenAlex, Maud Maho‐Vaillant has authored 15 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pathology and Forensic Medicine, 7 papers in Hematology and 5 papers in Genetics. Recurrent topics in Maud Maho‐Vaillant's work include Autoimmune Bullous Skin Diseases (13 papers), Platelet Disorders and Treatments (7 papers) and Urticaria and Related Conditions (5 papers). Maud Maho‐Vaillant is often cited by papers focused on Autoimmune Bullous Skin Diseases (13 papers), Platelet Disorders and Treatments (7 papers) and Urticaria and Related Conditions (5 papers). Maud Maho‐Vaillant collaborates with scholars based in France, Germany and Singapore. Maud Maho‐Vaillant's co-authors include Sébastien Calbo, Philippe Musette, Jean‐David Bouaziz, Armand Bensussan, Martine Bagot, A. Saussine, Marie-Laure Golinski, Pascal Joly, Olivier Boyer and Gaëtan Riou and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and European Journal of Immunology.

In The Last Decade

Maud Maho‐Vaillant

14 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Maho‐Vaillant France 7 256 104 65 50 40 15 403
Ahsen Morva France 5 251 1.0× 48 0.5× 41 0.6× 48 1.0× 37 0.9× 9 348
Florina Olaru United States 11 164 0.6× 97 0.9× 77 1.2× 65 1.3× 66 1.6× 13 380
Marc Descatoire France 6 246 1.0× 63 0.6× 33 0.5× 59 1.2× 35 0.9× 7 378
Étienne Crickx France 12 150 0.6× 77 0.7× 46 0.7× 66 1.3× 23 0.6× 25 421
Morgane Cheminant France 12 149 0.6× 123 1.2× 77 1.2× 51 1.0× 15 0.4× 31 480
Vasilis Bikos Greece 8 266 1.0× 113 1.1× 17 0.3× 126 2.5× 59 1.5× 11 402
Agapitos Patakas United Kingdom 10 316 1.2× 45 0.4× 96 1.5× 16 0.3× 63 1.6× 12 425
Kristy Wolniak United States 11 236 0.9× 104 1.0× 19 0.3× 51 1.0× 17 0.4× 30 427
Laleh Khodadadi Germany 8 263 1.0× 26 0.3× 145 2.2× 38 0.8× 68 1.7× 11 419
Katrin Thorarinsdottir Sweden 9 209 0.8× 23 0.2× 59 0.9× 25 0.5× 26 0.7× 11 285

Countries citing papers authored by Maud Maho‐Vaillant

Since Specialization
Citations

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

Fields of papers citing papers by Maud Maho‐Vaillant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maud Maho‐Vaillant. 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 Maud Maho‐Vaillant. The network helps show where Maud Maho‐Vaillant may publish in the future.

Co-authorship network of co-authors of Maud Maho‐Vaillant

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

All Works

15 of 15 papers shown
1.
Maho‐Vaillant, Maud, Christophe Arnoult, V. Hébert, et al.. (2025). Prevalence and pathogenic activity of anti-desmocollin-3 antibodies in patients with pemphigus vulgaris and pemphigus foliaceus. British Journal of Dermatology. 192(6). 1072–1082. 1 indexed citations
2.
Hébert, V., Maud Maho‐Vaillant, Corine Pérals, et al.. (2024). The emergence of circulating activated autoreactive desmoglein 3-specific follicular regulatory T cells is associated with long-term efficacy of rituximab in patients with pemphigus vulgaris. British Journal of Dermatology. 191(4). 605–615. 2 indexed citations
3.
Petit, Marie, Carole Burel, Maud Maho‐Vaillant, et al.. (2022). IgG N-glycosylation from Patients with Pemphigus Treated with Rituximab. Biomedicines. 10(8). 1774–1774. 6 indexed citations
4.
Golinski, Marie-Laure, Maud Maho‐Vaillant, Laurent Drouot, et al.. (2022). The Diversity of Serum Anti-DSG3 IgG Subclasses Has a Major Impact on Pemphigus Activity and Is Predictive of Relapses After Treatment With Rituximab. Frontiers in Immunology. 13. 849790–849790. 4 indexed citations
5.
Maho‐Vaillant, Maud, Magdalena Sips, Marie-Laure Golinski, et al.. (2022). FcRn Antagonism Leads to a Decrease of Desmoglein-Specific B Cells: Secondary Analysis of a Phase 2 Study of Efgartigimod in Pemphigus Vulgaris and Pemphigus Foliaceus. Frontiers in Immunology. 13. 863095–863095. 26 indexed citations
6.
Maho‐Vaillant, Maud, Marie-Laure Golinski, V. Hébert, et al.. (2022). Evaluation of Clinical Relevance and Biological Effects of Antirituximab Antibodies in Patients With Pemphigus. JAMA Dermatology. 158(8). 893–893. 4 indexed citations
7.
Maho‐Vaillant, Maud, Corine Pérals, Marie-Laure Golinski, et al.. (2021). Rituximab and Corticosteroid Effect on Desmoglein-Specific B Cells and Desmoglein-Specific T Follicular Helper Cells in Pemphigus. Journal of Investigative Dermatology. 141(9). 2132–2140.e1. 18 indexed citations
8.
Petit, Marie, Damien Schapman, Marie-Laure Golinski, et al.. (2021). Longitudinal Pathogenic Properties and N-Glycosylation Profile of Antibodies from Patients with Pemphigus after Corticosteroid Treatment. Biomedicines. 9(10). 1411–1411. 2 indexed citations
9.
Hébert, V., Maud Maho‐Vaillant, Marie-Laure Golinski, et al.. (2021). Modifications of the BAFF/BAFF-Receptor Axis in Patients With Pemphigus Treated With Rituximab Versus Standard Corticosteroid Regimen. Frontiers in Immunology. 12. 666022–666022. 8 indexed citations
10.
Maho‐Vaillant, Maud, V. Hébert, Laurent Drouot, et al.. (2020). Caractérisation des auto-anticorps non spécifique de la desmogléine chez les patients atteints de pemphigus. Annales de Dermatologie et de Vénéréologie. 147(12). A75–A76.
11.
Golinski, Marie-Laure, Céline Derambure, Gaëtan Riou, et al.. (2020). CD11c+ B Cells Are Mainly Memory Cells, Precursors of Antibody Secreting Cells in Healthy Donors. Frontiers in Immunology. 11. 32–32. 78 indexed citations
12.
Hébert, V., Marie Petit, Maud Maho‐Vaillant, et al.. (2019). Modifications of the Transcriptomic Profile of Autoreactive B Cells From Pemphigus Patients After Treatment With Rituximab or a Standard Corticosteroid Regimen. Frontiers in Immunology. 10. 1794–1794. 18 indexed citations
13.
Mignard, C., V. Hébert, Maud Maho‐Vaillant, et al.. (2018). Facteurs de risque de rechute précoce chez les patients atteints de pemphigus traités par rituximab en première ligne. Annales de Dermatologie et de Vénéréologie. 145(12). S51–S51. 1 indexed citations
14.
Lin, Wenyu, Daniela Cerny, Kaibo Duan, et al.. (2014). Human Regulatory B Cells Combine Phenotypic and Genetic Hallmarks with a Distinct Differentiation Fate. The Journal of Immunology. 193(5). 2258–2266. 39 indexed citations
15.
Bouaziz, Jean‐David, Sébastien Calbo, Maud Maho‐Vaillant, et al.. (2010). IL‐10 produced by activated human B cells regulates CD4+ T‐cell activation in vitro. European Journal of Immunology. 40(10). 2686–2691. 196 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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