Eva d’Hennezel

3.8k total citations
18 papers, 928 citations indexed

About

Eva d’Hennezel is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Eva d’Hennezel has authored 18 papers receiving a total of 928 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Eva d’Hennezel's work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Diabetes and associated disorders (7 papers). Eva d’Hennezel is often cited by papers focused on Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (12 papers) and Diabetes and associated disorders (7 papers). Eva d’Hennezel collaborates with scholars based in Canada, United States and China. Eva d’Hennezel's co-authors include Ciriaco A. Piccirillo, Sahar Abubucker, Leon O. Murphy, Thomas W. Cullen, Evridiki Sgouroudis, Khalid Bin Dhuban, Troy R. Torgerson, Alexandre Albanese, Ekaterina A. Yurchenko and Valérie Hay and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Diabetes.

In The Last Decade

Eva d’Hennezel

18 papers receiving 917 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva d’Hennezel Canada 14 563 262 211 98 98 18 928
Michele M Kosiewicz United States 19 882 1.6× 367 1.4× 301 1.4× 76 0.8× 96 1.0× 43 1.4k
Tessa ten Hove Netherlands 15 702 1.2× 293 1.1× 175 0.8× 47 0.5× 101 1.0× 20 1.1k
Thomas Lindebo Holm Denmark 16 328 0.6× 195 0.7× 193 0.9× 49 0.5× 146 1.5× 27 713
Laura Cook Canada 20 361 0.6× 247 0.9× 193 0.9× 76 0.8× 265 2.7× 34 1.2k
Hannu Turpeinen Finland 18 281 0.5× 233 0.9× 277 1.3× 40 0.4× 179 1.8× 33 879
Júlia Farache United States 10 1.1k 1.9× 436 1.7× 190 0.9× 89 0.9× 150 1.5× 11 1.6k
Anna Cebula United States 9 559 1.0× 436 1.7× 117 0.6× 58 0.6× 68 0.7× 9 947
Lisa Holt United States 13 295 0.5× 391 1.5× 198 0.9× 44 0.4× 172 1.8× 20 890
Katherine Nutsch United States 8 1.0k 1.8× 513 2.0× 158 0.7× 101 1.0× 69 0.7× 9 1.5k
Katarzyna Sitnik Sweden 14 604 1.1× 251 1.0× 61 0.3× 84 0.9× 100 1.0× 22 938

Countries citing papers authored by Eva d’Hennezel

Since Specialization
Citations

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

Fields of papers citing papers by Eva d’Hennezel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva d’Hennezel. 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 Eva d’Hennezel. The network helps show where Eva d’Hennezel may publish in the future.

Co-authorship network of co-authors of Eva d’Hennezel

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

All Works

18 of 18 papers shown
1.
Corse, Emily, Krista Goodman, Guosen Ye, et al.. (2024). Abstract 5574: Degradation of PIP4K2C by novel bivalent functional degrader LRK-A induces tumor regression in CRC. Cancer Research. 84(6_Supplement). 5574–5574. 1 indexed citations
2.
Dhuban, Khalid Bin, et al.. (2019). Signaling Through gp130 Compromises Suppressive Function in Human FOXP3+ Regulatory T Cells. Frontiers in Immunology. 10. 1532–1532. 20 indexed citations
3.
Popović, Natalija, Alan C. Peterson, Eva d’Hennezel, et al.. (2017). The common, autoimmunity-predisposing 620Arg > Trp variant of PTPN22 modulates macrophage function and morphology. Journal of Autoimmunity. 79. 74–83. 15 indexed citations
4.
d’Hennezel, Eva, Sahar Abubucker, Leon O. Murphy, & Thomas W. Cullen. (2017). Total Lipopolysaccharide from the Human Gut Microbiome Silences Toll-Like Receptor Signaling. mSystems. 2(6). 251 indexed citations
5.
Dhuban, Khalid Bin, Eva d’Hennezel, Yasuhiro Nagai, et al.. (2017). Suppression by human FOXP3 + regulatory T cells requires FOXP3-TIP60 interactions. Science Immunology. 2(12). 48 indexed citations
6.
Dhuban, Khalid Bin, Eva d’Hennezel, Emil Nashi, et al.. (2015). Coexpression of TIGIT and FCRL3 Identifies Helios+ Human Memory Regulatory T Cells. The Journal of Immunology. 194(8). 3687–3696. 89 indexed citations
7.
Lafferty, Erin I., Adam Flaczyk, Robert Homer, et al.. (2014). An ENU-induced splicing mutation reveals a role for Unc93b1 in early immune cell activation following influenza A H1N1 infection. Genes and Immunity. 15(5). 320–332. 11 indexed citations
8.
Dhuban, Khalid Bin, Eva d’Hennezel, Moshe Ben‐Shoshan, et al.. (2013). Altered T Helper 17 Responses in Children with Food Allergy. International Archives of Allergy and Immunology. 162(4). 318–322. 45 indexed citations
9.
Zouk, Hana, et al.. (2013). Functional evaluation of the role of C-type lectin domain family 16A at the chromosome 16p13 locus. Clinical & Experimental Immunology. 175(3). 485–497. 13 indexed citations
10.
d’Hennezel, Eva, Khalid Bin Dhuban, Troy R. Torgerson, & Ciriaco A. Piccirillo. (2012). The immunogenetics of immune dysregulation, polyendocrinopathy, enteropathy, X linked (IPEX) syndrome. Journal of Medical Genetics. 49(5). 291–302. 105 indexed citations
11.
d’Hennezel, Eva & Ciriaco A. Piccirillo. (2012). Functional plasticity in human FOXP3 + regulatory T cells. Human Vaccines & Immunotherapeutics. 8(7). 1001–1005. 11 indexed citations
12.
d’Hennezel, Eva & Ciriaco A. Piccirillo. (2011). Analysis of Human FOXP3+ Treg Cells Phenotype and Function. Methods in molecular biology. 707. 199–218. 18 indexed citations
13.
d’Hennezel, Eva, Ekaterina A. Yurchenko, Evridiki Sgouroudis, Valérie Hay, & Ciriaco A. Piccirillo. (2011). Single-Cell Analysis of the Human T Regulatory Population Uncovers Functional Heterogeneity and Instability within FOXP3+ Cells. The Journal of Immunology. 186(12). 6788–6797. 62 indexed citations
14.
d’Hennezel, Eva, Mara Kornete, & Ciriaco A. Piccirillo. (2010). IL-2 as a therapeutic target for the restoration of Foxp3+ regulatory T cell function in organ-specific autoimmunity: implications in pathophysiology and translation to human disease. Journal of Translational Medicine. 8(1). 14 indexed citations
15.
Piccirillo, Ciriaco A., Eva d’Hennezel, Evridiki Sgouroudis, & Ekaterina A. Yurchenko. (2008). CD4+Foxp3+ regulatory T cells in the control of autoimmunity: in vivo veritas. Current Opinion in Immunology. 20(6). 655–662. 53 indexed citations
17.
Sgouroudis, Evridiki, et al.. (2007). Functional Waning of Naturally Occurring CD4+ Regulatory T-Cells Contributes to the Onset of Autoimmune Diabetes. Diabetes. 57(1). 113–123. 128 indexed citations
18.
Levings, Megan K., Sarah Allan, Eva d’Hennezel, & Ciriaco A. Piccirillo. (2006). Functional Dynamics of Naturally Occurring Regulatory T Cells in Health and Autoimmunity. Advances in immunology. 92. 119–155. 41 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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