Hugues Allard‐Chamard

1.8k total citations
30 papers, 512 citations indexed

About

Hugues Allard‐Chamard is a scholar working on Rheumatology, Molecular Biology and Immunology. According to data from OpenAlex, Hugues Allard‐Chamard has authored 30 papers receiving a total of 512 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Rheumatology, 8 papers in Molecular Biology and 8 papers in Immunology. Recurrent topics in Hugues Allard‐Chamard's work include Rheumatoid Arthritis Research and Therapies (5 papers), IgG4-Related and Inflammatory Diseases (4 papers) and Immune Cell Function and Interaction (4 papers). Hugues Allard‐Chamard is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (5 papers), IgG4-Related and Inflammatory Diseases (4 papers) and Immune Cell Function and Interaction (4 papers). Hugues Allard‐Chamard collaborates with scholars based in Canada, United States and Japan. Hugues Allard‐Chamard's co-authors include Shiv Pillai, Cory A. Perugino, Vinay S. Mahajan, John H. Stone, Hamid Mattoo, Zachary S. Wallace, Hang Liu, Samuel J. H. Murphy, Naoki Kaneko and Musie Ghebremichael and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Hugues Allard‐Chamard

27 papers receiving 506 citations

Peers

Hugues Allard‐Chamard
Yunyun Fei China
Reza Akbarzadeh Iran
Masahiro Ayano Japan
Antonios Psarras United Kingdom
Isabelle Peene Belgium
Qingran Yan China
Clara Di Mario Italy
Eun Bong Lee South Korea
Jacques Éric Gottenberg France
Kyotaro Ohno Japan
Yunyun Fei China
Hugues Allard‐Chamard
Citations per year, relative to Hugues Allard‐Chamard Hugues Allard‐Chamard (= 1×) peers Yunyun Fei

Countries citing papers authored by Hugues Allard‐Chamard

Since Specialization
Citations

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

Fields of papers citing papers by Hugues Allard‐Chamard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hugues Allard‐Chamard. 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 Hugues Allard‐Chamard. The network helps show where Hugues Allard‐Chamard may publish in the future.

Co-authorship network of co-authors of Hugues Allard‐Chamard

This figure shows the co-authorship network connecting the top 25 collaborators of Hugues Allard‐Chamard. A scholar is included among the top collaborators of Hugues Allard‐Chamard 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 Hugues Allard‐Chamard. Hugues Allard‐Chamard 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
1.
Allard‐Chamard, Hugues, Grace J. Yuen, Marshall Karpel, et al.. (2024). Congenital T-cell activation impairs transitional-to-follicular B-cell maturation in humans. Blood Advances. 9(3). 520–532.
2.
3.
Labrie, Marilyne, et al.. (2024). T peripheral helper (Tph) cells, a marker of immune activation in cancer and autoimmune disorders. Clinical Immunology. 266. 110325–110325. 1 indexed citations
4.
Lucier, Jean‐François, Dominique Lévesque, François‐Michel Boisvert, et al.. (2024). Impact of a tailored exercise regimen on physical capacity and plasma proteome profile in post-COVID-19 condition. Frontiers in Physiology. 15. 1416639–1416639. 3 indexed citations
5.
Lucier, Jean‐François, Samuel Lemaire‐Paquette, Lakshmanane Premkumar, et al.. (2023). SARS-CoV-2 spike antigen-specific B cell and antibody responses in pre-vaccination period COVID-19 convalescent males and females with or without post-covid condition. Frontiers in Immunology. 14. 4 indexed citations
6.
Perugino, Cory A., Zachary S. Wallace, Debra Zack, et al.. (2023). Evaluation of the safety, efficacy, and mechanism of action of obexelimab for the treatment of patients with IgG4-related disease: an open-label, single-arm, single centre, phase 2 pilot trial. The Lancet Rheumatology. 5(8). e442–e450. 33 indexed citations
7.
Montastier, Émilie, Frédérique Frisch, Christophe Noll, et al.. (2023). Adipocyte hypertrophy associates with in vivo postprandial fatty acid metabolism and adipose single-cell transcriptional dynamics. iScience. 27(1). 108692–108692. 6 indexed citations
8.
Carrier, Nathalie, Gilles Boire, Alain Piché, et al.. (2023). SARS-CoV-2 mRNA vaccine-induced immune responses in rheumatoid arthritis. Journal of Leukocyte Biology. 114(4). 358–367. 3 indexed citations
9.
Pejović, Tanja, et al.. (2022). Single-Cell Proteomics Analysis of Recurrent Low-Grade Serous Ovarian Carcinoma and Associated Brain Metastases. Frontiers in Oncology. 12. 903806–903806. 3 indexed citations
10.
Mahajan, Vinay S., Hamid Mattoo, Na Sun, et al.. (2021). B1a and B2 cells are characterized by distinct CpG modification states at DNMT3A-maintained enhancers. Nature Communications. 12(1). 2208–2208. 17 indexed citations
11.
Allard‐Chamard, Hugues, Hemant Kumar Mishra, Marian Mayhue, et al.. (2020). Interleukin-15 in autoimmunity. Cytokine. 136. 155258–155258. 45 indexed citations
12.
Maehara, Takashi, Naoki Kaneko, Cory A. Perugino, et al.. (2020). Cytotoxic CD4+ T lymphocytes may induce endothelial cell apoptosis in systemic sclerosis. Journal of Clinical Investigation. 130(5). 2451–2464. 127 indexed citations
13.
Netravali, Ilka Arun, Annaiah Cariappa, Kathleen B. Yates, et al.. (2019). 9-O-acetyl sialic acid levels identify committed progenitors of plasmacytoid dendritic cells. Glycobiology. 29(12). 861–875. 1 indexed citations
14.
Farmer, Jocelyn R., Hugues Allard‐Chamard, Na Sun, et al.. (2019). Induction of metabolic quiescence defines the transitional to follicular B cell switch. Science Signaling. 12(604). 29 indexed citations
15.
Boire, Gilles & Hugues Allard‐Chamard. (2019). The 4-H of Biomarkers in Arthritis: A Lot of Help, Occasional Harm, Some Hype, Increasing Hope. The Journal of Rheumatology. 46(7). 758–763. 3 indexed citations
16.
Allard‐Chamard, Hugues & Vinay S. Mahajan. (2019). The Future of Clinical Immunology Laboratory Testing. Clinics in Laboratory Medicine. 39(4). 699–708. 1 indexed citations
17.
Allard‐Chamard, Hugues & Patrick Liang. (2019). Antineutrophil Cytoplasmic Antibodies Testing and Interpretation. Clinics in Laboratory Medicine. 39(4). 539–552. 10 indexed citations
18.
Perugino, Cory A., Hamid Mattoo, Emanuel Della‐Torre, et al.. (2018). Identification of galectin-3 as an autoantigen in patients with IgG4-related disease. Journal of Allergy and Clinical Immunology. 143(2). 736–745.e6. 117 indexed citations
19.
Allard‐Chamard, Hugues, et al.. (2014). Cytosolic phospholipase A2 and eicosanoids modulate life, death and function of human osteoclasts in vitro. Prostaglandins Leukotrienes and Essential Fatty Acids. 90(4). 117–123. 8 indexed citations
20.
Gallant, Maxime A., Hugues Allard‐Chamard, Christian Iorio‐Morin, et al.. (2010). An Interaction between L-prostaglandin D Synthase and Arrestin Increases PGD2 Production. Journal of Biological Chemistry. 286(4). 2696–2706. 10 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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