Gabrielle Deblois

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

About

Gabrielle Deblois is a scholar working on Immunology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Gabrielle Deblois has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Gabrielle Deblois's work include Mast cells and histamine (4 papers), Immune Cell Function and Interaction (3 papers) and Multiple Sclerosis Research Studies (2 papers). Gabrielle Deblois is often cited by papers focused on Mast cells and histamine (4 papers), Immune Cell Function and Interaction (3 papers) and Multiple Sclerosis Research Studies (2 papers). Gabrielle Deblois collaborates with scholars based in United States, Canada and United Kingdom. Gabrielle Deblois's co-authors include Shirley S. Craig, Norman M. Schechter, Lawrence B. Schwartz, Anne‐Marie Irani, Louis B. Schwartz, Anne Marie Irani, Frederick L. Glauser, R. Paul Fairman, Nathalie Arbour and Alexandre Prat and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and Journal of Applied Physiology.

In The Last Decade

Gabrielle Deblois

11 papers receiving 1.3k citations

Hit Papers

Two types of human mast cells that have distinct neutral ... 1986 2026 1999 2012 1986 250 500 750

Peers

Gabrielle Deblois
T R Bradford United States
Glenn Cruse United States
Yu Bai United States
Dwight Naime United States
Catharine J. Andresen United States
Steven F. Ziegler United States
K Isozaki Japan
T R Bradford United States
Gabrielle Deblois
Citations per year, relative to Gabrielle Deblois Gabrielle Deblois (= 1×) peers T R Bradford

Countries citing papers authored by Gabrielle Deblois

Since Specialization
Citations

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

Fields of papers citing papers by Gabrielle Deblois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabrielle Deblois

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

All Works

11 of 11 papers shown
1.
Laurent, Cyril, Gabrielle Deblois, Marc Girard, et al.. (2020). Interleukin-15 enhances proinflammatory T-cell responses in patients with MS and EAE. Neurology Neuroimmunology & Neuroinflammation. 8(1). 15 indexed citations
2.
Laurent, Cyril, et al.. (2019). NKG2D and Its Ligand MULT1 Contribute to Disease Progression in a Mouse Model of Multiple Sclerosis. Frontiers in Immunology. 10. 154–154. 17 indexed citations
3.
Pittet, Camille L., et al.. (2015). An optimized method to process mouse CNS to simultaneously analyze neural cells and leukocytes by flow cytometry. Journal of Neuroscience Methods. 247. 23–31. 39 indexed citations
4.
Deblois, Gabrielle, Diane Beauseigle, Raphaël Schneider, et al.. (2015). Production of IL‐27 in multiple sclerosis lesions by astrocytes and myeloid cells: Modulation of local immune responses. Glia. 64(4). 553–569. 57 indexed citations
5.
Glauser, Frederick L., Daniel E. Bechard, Gabrielle Deblois, et al.. (1989). Cardiorespiratory and cellular changes with interleukin 2 infusion in sheep. Journal of Applied Physiology. 66(1). 128–134. 5 indexed citations
6.
Glauser, Frederick L., et al.. (1988). Cardiopulmonary effects of recombinant interleukin-2 infusion in sheep. Journal of Applied Physiology. 64(3). 1030–1037. 20 indexed citations
7.
Fairman, R. Paul, et al.. (1987). Effects of protamine, heparinase, and hyaluronidase on endothelial permeability and surface charge. Journal of Applied Physiology. 63(5). 1987–1992. 54 indexed citations
8.
Irani, Anne Marie, et al.. (1987). Deficiency of the tryptase-positive, chymase-negative mast cell type in gastrointestinal mucosa of patients with defective T lymphocyte function.. The Journal of Immunology. 138(12). 4381–4386. 162 indexed citations
9.
Schwartz, Lawrence B., et al.. (1987). The major enzymes of human mast cell secretory granules.. PubMed. 135(5). 1186–9. 34 indexed citations
10.
Irani, Anne‐Marie, Norman M. Schechter, Shirley S. Craig, Gabrielle Deblois, & Lawrence B. Schwartz. (1986). Two types of human mast cells that have distinct neutral protease compositions.. Proceedings of the National Academy of Sciences. 83(12). 4464–4468. 787 indexed citations breakdown →
11.
Craig, Shirley S., Gabrielle Deblois, & Louis B. Schwartz. (1986). Mast cells in human keloid, small intestine, and lung by an immunoperoxidase technique using a murine monoclonal antibody against tryptase.. PubMed. 124(3). 427–35. 103 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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