Aurélie Houlier

469 total citations
10 papers, 243 citations indexed

About

Aurélie Houlier is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Aurélie Houlier has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Aurélie Houlier's work include Cutaneous Melanoma Detection and Management (6 papers), Melanoma and MAPK Pathways (5 papers) and Cancer Genomics and Diagnostics (4 papers). Aurélie Houlier is often cited by papers focused on Cutaneous Melanoma Detection and Management (6 papers), Melanoma and MAPK Pathways (5 papers) and Cancer Genomics and Diagnostics (4 papers). Aurélie Houlier collaborates with scholars based in France, United States and Italy. Aurélie Houlier's co-authors include Daniel Pissaloux, Arnaud de la Fouchardière, Franck Tirode, Jean‐Michel Coindre, Frédéric Chibon, Antoîne Italiano, Cristina R. Antonescu, Lei Zhang, Christopher D.�M. Fletcher and Agnès Ribeiro and has published in prestigious journals such as Modern Pathology, Genes Chromosomes and Cancer and Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin.

In The Last Decade

Aurélie Houlier

8 papers receiving 240 citations

Peers

Aurélie Houlier
Meredith Stevers United States
Michelle Ki United States
Benjamin Goode United States
Kiran Turaka United States
Kenn L. Zerivitz United States
Nicholas Hearle United Kingdom
Meredith Stevers United States
Aurélie Houlier
Citations per year, relative to Aurélie Houlier Aurélie Houlier (= 1×) peers Meredith Stevers

Countries citing papers authored by Aurélie Houlier

Since Specialization
Citations

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

Fields of papers citing papers by Aurélie Houlier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aurélie Houlier

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

All Works

10 of 10 papers shown
1.
Vanacker, Hélène, Mehdi Brahmi, Daniel Pissaloux, et al.. (2025). Assessing targetable NTRK1/2/3 fusions in mesenchymal tumors via whole-exome RNA sequencing. ESMO Open. 10(9). 105555–105555.
2.
Kervarrec, Thibault, Nicolas Macagno, Aurélie Houlier, et al.. (2025). YAP1::MAML2, YAP1::NUTM1, and RNF13::PAK2 rearrangements in trichoblastomas and adnexal tumors with panfollicular differentiation: expanding the spectrum of YAP1/PAK-fused skin adnexal tumors. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 487(4). 745–753.
3.
Trécourt, Alexis, Isabelle Treilleux, Daniel Pissaloux, et al.. (2024). Primary Vulvar and Vaginal Adenocarcinomas of Intestinal Type Are Closer To Colorectal Adenocarcinomas Than To Carcinomas of Müllerian Origin. Modern Pathology. 38(2). 100649–100649. 3 indexed citations
4.
Kervarrec, Thibault, Giuseppe Bello, Daniel Pissaloux, et al.. (2023). GRM1 Gene Fusions as an Alternative Molecular Driver in Blue Nevi and Related Melanomas. Modern Pathology. 36(10). 100264–100264. 10 indexed citations
5.
Fouchardière, Arnaud de la, Daniel Pissaloux, Aurélie Houlier, et al.. (2023). Histologic and Genetic Features of 51 Melanocytic Neoplasms With Protein Kinase C Fusion Genes. Modern Pathology. 36(11). 100286–100286. 9 indexed citations
6.
Houlier, Aurélie, Daniel Pissaloux, Franck Tirode, et al.. (2021). RASGRF2 gene fusions identified in a variety of melanocytic lesions with distinct morphological features. Pigment Cell & Melanoma Research. 34(6). 1074–1083. 13 indexed citations
7.
Houlier, Aurélie, Daniel Pissaloux, Ingrid Masse, et al.. (2019). Melanocytic tumors with MAP3K8 fusions: report of 33 cases with morphological-genetic correlations. Modern Pathology. 33(5). 846–857. 48 indexed citations
8.
Fouchardière, Arnaud de la, et al.. (2019). β-Catenin nuclear expression discriminates deep penetrating nevi from other cutaneous melanocytic tumors. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 474(5). 539–550. 31 indexed citations
9.
Salhi, Aïcha, Aurélie Houlier, Daniel Pissaloux, et al.. (2019). Malignant melanoma with areas of rhabdomyosarcomatous differentiation arising in a giant congenital nevus with RAF1 gene fusion. Pigment Cell & Melanoma Research. 32(5). 708–713. 25 indexed citations
10.
Loarer, François Le, Lei Zhang, Christopher D.�M. Fletcher, et al.. (2014). Consistent SMARCB1 homozygous deletions in epithelioid sarcoma and in a subset of myoepithelial carcinomas can be reliably detected by FISH in archival material. Genes Chromosomes and Cancer. 53(6). 475–486. 104 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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