Aurélie Durgeau

1.3k total citations · 2 hit papers
7 papers, 1.0k citations indexed

About

Aurélie Durgeau is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Aurélie Durgeau has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Oncology and 1 paper in Molecular Biology. Recurrent topics in Aurélie Durgeau's work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Aurélie Durgeau is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (6 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Aurélie Durgeau collaborates with scholars based in France, Netherlands and Lebanon. Aurélie Durgeau's co-authors include Fathia Mami‐Chouaib, Yasemin Virk, Stéphanie Corgnac, Vincent de Montpréville, Pierre Validire, Benjamin Besse, Julien Adam, Guillaume Meurice, Aïcha Goubar and David Klatzmann and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and The Journal of Immunology.

In The Last Decade

Aurélie Durgeau

7 papers receiving 1.0k citations

Hit Papers

CD8+CD103+ Tumor–Infiltrating Lymphocytes Are Tumor-Speci... 2015 2026 2018 2022 2015 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aurélie Durgeau France 7 776 661 181 89 59 7 1.0k
Christiane Meyer Germany 6 1.0k 1.3× 942 1.4× 247 1.4× 97 1.1× 61 1.0× 8 1.4k
Moses Donkor United States 8 542 0.7× 397 0.6× 226 1.2× 73 0.8× 90 1.5× 12 807
Cathy Biota France 8 776 1.0× 628 1.0× 115 0.6× 63 0.7× 56 0.9× 9 982
Qiu‐Xia Qu China 13 466 0.6× 474 0.7× 142 0.8× 104 1.2× 73 1.2× 33 734
Anusha-Preethi Ganesan United States 6 639 0.8× 581 0.9× 297 1.6× 112 1.3× 111 1.9× 9 1.0k
Jens Pahl Germany 12 565 0.7× 418 0.6× 187 1.0× 71 0.8× 90 1.5× 20 794
Leticia Barba Switzerland 6 676 0.9× 643 1.0× 150 0.8× 45 0.5× 38 0.6× 6 890
Elizabeth Seja United States 10 682 0.9× 770 1.2× 206 1.1× 73 0.8× 33 0.6× 12 963
Jennifer S. Childs United States 14 581 0.7× 529 0.8× 232 1.3× 47 0.5× 48 0.8× 46 812
Rodney A. Prell United States 15 1.0k 1.3× 563 0.9× 220 1.2× 48 0.5× 70 1.2× 24 1.3k

Countries citing papers authored by Aurélie Durgeau

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Durgeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Durgeau

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

All Works

7 of 7 papers shown
1.
Durgeau, Aurélie, Yasemin Virk, Gwendoline Gros, et al.. (2018). Human preprocalcitonin self-antigen generates TAP-dependent and -independent epitopes triggering optimised T-cell responses toward immune-escaped tumours. Nature Communications. 9(1). 5097–5097. 21 indexed citations
2.
Durgeau, Aurélie, Yasemin Virk, Stéphanie Corgnac, & Fathia Mami‐Chouaib. (2018). Recent Advances in Targeting CD8 T-Cell Immunity for More Effective Cancer Immunotherapy. Frontiers in Immunology. 9. 14–14. 372 indexed citations breakdown →
3.
Adam, Julien, Aïcha Goubar, Aurélie Durgeau, et al.. (2015). CD8+CD103+ Tumor–Infiltrating Lymphocytes Are Tumor-Specific Tissue-Resident Memory T Cells and a Prognostic Factor for Survival in Lung Cancer Patients. The Journal of Immunology. 194(7). 3475–3486. 459 indexed citations breakdown →
4.
Hage, Faten El, Aurélie Durgeau, & Fathia Mami‐Chouaib. (2013). TAP expression level in tumor cells defines the nature and processing of MHC class I peptides for recognition by tumor‐specific cytotoxic T lymphocytes. Annals of the New York Academy of Sciences. 1283(1). 75–80. 18 indexed citations
5.
Durgeau, Aurélie, Faten El Hage, Isabelle Vergnon, et al.. (2011). Different Expression Levels of the TAP Peptide Transporter Lead to Recognition of Different Antigenic Peptides by Tumor-Specific CTL. The Journal of Immunology. 187(11). 5532–5539. 34 indexed citations
6.
Bergot, Anne‐Sophie, Aurélie Durgeau, Béatrice Levacher, et al.. (2010). Antigen quality determines the efficiency of antitumor immune responses generated in the absence of regulatory T cells. Cancer Gene Therapy. 17(9). 645–654. 13 indexed citations
7.
Darrasse-Jèze, Guillaume, Anne‐Sophie Bergot, Aurélie Durgeau, et al.. (2009). Tumor emergence is sensed by self-specific CD44hi memory Tregs that create a dominant tolerogenic environment for tumors in mice. Journal of Clinical Investigation. 119(9). 2648–62. 99 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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