Salix Boulet

1.3k total citations
32 papers, 1.0k citations indexed

About

Salix Boulet is a scholar working on Immunology, Virology and Molecular Biology. According to data from OpenAlex, Salix Boulet has authored 32 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Immunology, 8 papers in Virology and 7 papers in Molecular Biology. Recurrent topics in Salix Boulet's work include Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (18 papers) and HIV Research and Treatment (8 papers). Salix Boulet is often cited by papers focused on Immune Cell Function and Interaction (18 papers), T-cell and B-cell Immunology (18 papers) and HIV Research and Treatment (8 papers). Salix Boulet collaborates with scholars based in Canada, France and United States. Salix Boulet's co-authors include Nicole F. Bernard, Nathalie Labrecque, Christos Tsoukas, Jean‐Pierre Routy, Julie Bruneau, Jean‐François Daudelin, Philomena Kamya, Rujun Song, Cécile Tremblay and Naglaa H. Shoukry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Salix Boulet

31 papers receiving 996 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Salix Boulet Canada 18 713 321 207 123 106 32 1.0k
Tammy M. Rickabaugh United States 14 197 0.3× 146 0.5× 235 1.1× 259 2.1× 325 3.1× 20 872
Antje Schulte Germany 10 717 1.0× 182 0.6× 399 1.9× 94 0.8× 30 0.3× 14 1.3k
José M. Martinez-Navío United States 15 211 0.3× 269 0.8× 278 1.3× 189 1.5× 186 1.8× 25 894
Karis A. Weih United States 10 302 0.4× 235 0.7× 132 0.6× 39 0.3× 101 1.0× 10 629
Jeffrey Lian United States 9 363 0.5× 186 0.6× 116 0.6× 99 0.8× 96 0.9× 9 637
J. Link Sweden 13 333 0.5× 72 0.2× 93 0.4× 142 1.2× 55 0.5× 15 675
Sylvia Thelen Switzerland 14 502 0.7× 87 0.3× 276 1.3× 483 3.9× 41 0.4× 20 891
Eran Hadas United States 15 345 0.5× 278 0.9× 272 1.3× 97 0.8× 112 1.1× 34 930
Ekaterina Klimatcheva United States 11 153 0.2× 64 0.2× 260 1.3× 95 0.8× 41 0.4× 13 569

Countries citing papers authored by Salix Boulet

Since Specialization
Citations

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

Fields of papers citing papers by Salix Boulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salix Boulet

This figure shows the co-authorship network connecting the top 25 collaborators of Salix Boulet. A scholar is included among the top collaborators of Salix Boulet 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 Salix Boulet. Salix Boulet 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.
Boulet, Salix, et al.. (2022). Role of NR4A family members in myeloid cells and leukemia. SHILAP Revista de lepidopterología. 3. 23–36. 11 indexed citations
2.
Janelle, Valérie, Mathieu Neault, Marie‐Ève Lebel, et al.. (2021). p16INK4a Regulates Cellular Senescence in PD-1-Expressing Human T Cells. Frontiers in Immunology. 12. 698565–698565. 35 indexed citations
3.
Boulet, Salix, et al.. (2021). Role of the Orphan Nuclear Receptor NR4A Family in T-Cell Biology. Frontiers in Endocrinology. 11. 624122–624122. 66 indexed citations
4.
Boulet, Salix, et al.. (2021). Role of the Notch-TRIB2 axis in CD8+ T cell differentiation. The Journal of Immunology. 206(1_Supplement). 98.48–98.48. 1 indexed citations
5.
Daudelin, Jean‐François, et al.. (2019). The Notch signaling pathway controls CD8+ T cell differentiation independently of the classical effector HES1. PLoS ONE. 14(4). e0215012–e0215012. 6 indexed citations
6.
Boulet, Salix, et al.. (2016). NR4A3 controls CD8+ T cell metabolism and differentiation. The Journal of Immunology. 196(1_Supplement). 57.8–57.8. 1 indexed citations
7.
Marquis, Miriam, Salix Boulet, Justine Rousseau, et al.. (2014). The Non-Classical MAP Kinase ERK3 Controls T Cell Activation. PLoS ONE. 9(1). e86681–e86681. 18 indexed citations
8.
Mathieu, Mélissa, et al.. (2012). IL-6 Production by Dendritic Cells Is Dispensable for CD8+Memory T-Cell Generation. BioMed Research International. 2013. 1–12. 9 indexed citations
9.
Mathieu, Mélissa, et al.. (2012). CD40-Activated B Cells Can Efficiently Prime Antigen-Specific Naïve CD8+ T Cells to Generate Effector but Not Memory T cells. PLoS ONE. 7(1). e30139–e30139. 35 indexed citations
10.
Kamya, Philomena, Carlos E Melendez-Peña, Matthew S. Parsons, et al.. (2012). Inhibitory Killer Immunoglobulin-like receptors to self HLA-B and HLA-C ligands contribute differentially to Natural Killer cell functional potential in HIV infected slow progressors. Clinical Immunology. 143(3). 246–255. 11 indexed citations
11.
Boulet, Salix, Rujun Song, Philomena Kamya, et al.. (2010). HIV Protective KIR3DL1 and HLA-B Genotypes Influence NK Cell Function Following Stimulation with HLA-Devoid Cells. The Journal of Immunology. 184(4). 2057–2064. 84 indexed citations
12.
Kamya, Philomena, Salix Boulet, Yoav Peretz, et al.. (2010). Changes in Function of HIV-Specific T-Cell Responses with Increasing Time from Infection. Viral Immunology. 23(2). 159–168. 5 indexed citations
13.
Boulet, Salix, et al.. (2010). Dual-Color ELISPOT Assay for the Simultaneous Detection of IL-2 and/or IFN-γ Secreting T Cells. Cold Spring Harbor Protocols. 2010(1). pdb.prot5369–pdb.prot5369. 2 indexed citations
14.
Parsons, Matthew S., Salix Boulet, Rujun Song, et al.. (2010). Mind the Gap: Lack of Association between KIR3DL1*004/HLA‐Bw4–Induced Natural Killer Cell Function and Protection from HIV Infection. The Journal of Infectious Diseases. 202(S3). S356–S360. 22 indexed citations
15.
Boulet, Salix, Marianna Kleyman, Philomena Kamya, et al.. (2008). A combined genotype of KIR3DL1 high expressing alleles and HLA-B*57 is associated with a reduced risk of HIV infection. AIDS. 22(12). 1487–1491. 115 indexed citations
16.
Boulet, Salix, et al.. (2008). Increased proportion of KIR3DS1 homozygotes in HIV-exposed uninfected individuals. AIDS. 22(5). 595–599. 130 indexed citations
17.
Huang, Kenneth H., Mona Loutfy, Salix Boulet, et al.. (2008). Predictive value of immune parameters before treatment interruption (TI) for CD4+ T-cell count change during TI in HIV infection. Antiviral Therapy. 14(3). 381–392.
18.
19.
Boulet, Salix, Yoav Peretz, Mohamed‐Rachid Boulassel, et al.. (2006). A dual color ELISPOT method for the simultaneous detection of IL-2 and IFN-γ HIV-specific immune responses. Journal of Immunological Methods. 320(1-2). 18–29. 38 indexed citations
20.
Cashman, Neil R., et al.. (1988). Accessory Cell Competence of Human Glial Cells in Mitogenic Activation of Resting Peripheral T Cells. Annals of the New York Academy of Sciences. 540(1). 498–500. 3 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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