Philippe Lefrançois

1.2k total citations
38 papers, 847 citations indexed

About

Philippe Lefrançois is a scholar working on Molecular Biology, Dermatology and Epidemiology. According to data from OpenAlex, Philippe Lefrançois has authored 38 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 14 papers in Dermatology and 14 papers in Epidemiology. Recurrent topics in Philippe Lefrançois's work include Nonmelanoma Skin Cancer Studies (12 papers), Genomics and Chromatin Dynamics (7 papers) and Hedgehog Signaling Pathway Studies (6 papers). Philippe Lefrançois is often cited by papers focused on Nonmelanoma Skin Cancer Studies (12 papers), Genomics and Chromatin Dynamics (7 papers) and Hedgehog Signaling Pathway Studies (6 papers). Philippe Lefrançois collaborates with scholars based in Canada, United States and France. Philippe Lefrançois's co-authors include M Snyder, Pingxing Xie, Raymond K. Auerbach, Ghia Euskirchen, Joel Rozowsky, Mark Gerstein, Ivan V. Litvinov, Christopher M. Yellman, Karen Voelkel‐Meiman and Kevin Struhl and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Philippe Lefrançois

33 papers receiving 837 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philippe Lefrançois Canada 16 639 157 142 132 98 38 847
Maria Giovanna Maturo Italy 10 206 0.3× 124 0.8× 131 0.9× 50 0.4× 100 1.0× 10 396
Kaede Hinata United States 7 425 0.7× 53 0.3× 27 0.2× 45 0.3× 70 0.7× 8 592
Michał R. Gdula United Kingdom 14 964 1.5× 51 0.3× 25 0.2× 95 0.7× 83 0.8× 16 1.1k
Brook C. Barajas United States 6 413 0.6× 39 0.2× 31 0.2× 54 0.4× 49 0.5× 7 528
Amy T. Ku United States 10 233 0.4× 35 0.2× 20 0.1× 86 0.7× 59 0.6× 17 446
Elizabeth L. Thompson United States 11 1000 1.6× 16 0.1× 38 0.3× 87 0.7× 95 1.0× 15 1.1k
Yasutoshi Tatsumi Japan 14 664 1.0× 13 0.1× 124 0.9× 57 0.4× 271 2.8× 29 893
Mindy H. Hsieh United States 8 550 0.9× 16 0.1× 50 0.4× 42 0.3× 216 2.2× 8 866
Ling Qiu China 14 486 0.8× 26 0.2× 66 0.5× 15 0.1× 93 0.9× 27 706

Countries citing papers authored by Philippe Lefrançois

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lefrançois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philippe Lefrançois

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Lefrançois. A scholar is included among the top collaborators of Philippe Lefrançois 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 Philippe Lefrançois. Philippe Lefrançois 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.
Galati, Melissa A., Kaiyang Li, Carolyn Jack, et al.. (2025). Investigating Transcriptional Age Acceleration in Inflammatory Skin Diseases. JID Innovations. 5(5). 100386–100386.
2.
Prosty, Connor, Sofianne Gabrielli, Kathryn S. Torok, et al.. (2025). Markers of Type 2 Inflammation and Immunosenescence Are Upregulated in Localized Scleroderma. International Journal of Molecular Sciences. 26(3). 1258–1258.
3.
Lefrançois, Philippe, Herbert E. Cohn, Pingxing Xie, et al.. (2025). 63205 The Transcriptional Landscape Analysis of High-Risk Aggressive Basal Cell Carcinoma Identifies Subtype-Specific Biomarkers and Cancer Promotion Pathways. Journal of the American Academy of Dermatology. 93(3). AB326–AB326.
4.
5.
Nguyen, Anne Xuan-Lan, et al.. (2024). The State of Artificial Intelligence in Skin Cancer Publications. Journal of Cutaneous Medicine and Surgery. 28(2). 146–152. 3 indexed citations
6.
Lagacé, François, Connor Prosty, Geneviève Genest, et al.. (2023). The Role of Sex and Gender in Dermatology - From Pathogenesis to Clinical Implications. Journal of Cutaneous Medicine and Surgery. 27(4). NP1–NP36. 15 indexed citations
7.
Nguyen, Alex, Pingxing Xie, Ivan V. Litvinov, & Philippe Lefrançois. (2023). Efficacy and Safety of Sonic Hedgehog Inhibitors in Basal Cell Carcinomas: An Updated Systematic Review and Meta-analysis (2009–2022). American Journal of Clinical Dermatology. 24(3). 359–374. 15 indexed citations
8.
Lytvyn, Yuliya, Jorge R. Georgakopoulos, Anastasiya Muntyanu, et al.. (2023). Skin photoageing following sun exposure is associated with decreased epigenetic and biologic age, and correlates with basal cell carcinoma phenotype. British Journal of Dermatology. 190(4). 590–592. 3 indexed citations
9.
Lagacé, François, et al.. (2023). Pharmacological Agents Used in the Prevention and Treatment of Actinic Keratosis: A Review. International Journal of Molecular Sciences. 24(5). 4989–4989. 21 indexed citations
10.
Netchiporouk, Elena, et al.. (2023). Skin Cancer Prevention across the G7, Australia and New Zealand: A Review of Legislation and Guidelines. Current Oncology. 30(7). 6019–6040. 18 indexed citations
11.
Xie, Pingxing, et al.. (2023). Comparison of the Basal Cell Carcinoma (BCC) Tumour Microenvironment to Other Solid Malignancies. Cancers. 15(1). 305–305. 5 indexed citations
12.
Lefrançois, Philippe, et al.. (2023). Ectopically Expressed Meiosis-Specific Cancer Testis Antigen HORMAD1 Promotes Genomic Instability in Squamous Cell Carcinomas. Cells. 12(12). 1627–1627. 2 indexed citations
13.
Muntyanu, Anastasiya, Michelle Le, Elizabeth O’Brien, et al.. (2021). Novel role of long non-coding RNAs in autoimmune cutaneous disease. Journal of Cell Communication and Signaling. 16(4). 487–504. 10 indexed citations
14.
Litvinov, Ivan V., Pingxing Xie, Scott R. Gunn, Denis Sasseville, & Philippe Lefrançois. (2021). The transcriptional landscape analysis of basal cell carcinomas reveals novel signalling pathways and actionable targets. Life Science Alliance. 4(7). e202000651–e202000651. 12 indexed citations
15.
Lefrançois, Philippe, Pingxing Xie, Linghua Wang, et al.. (2018). Gene expression profiling and immune cell-type deconvolution highlight robust disease progression and survival markers in multiple cohorts of CTCL patients. OncoImmunology. 7(8). e1467856–e1467856. 23 indexed citations
16.
17.
Lefrançois, Philippe, Raymond K. Auerbach, Christopher M. Yellman, G. Shirleen Roeder, & M Snyder. (2013). Centromere-Like Regions in the Budding Yeast Genome. PLoS Genetics. 9(1). e1003209–e1003209. 35 indexed citations
18.
Lefrançois, Philippe, Wei Zheng, & M Snyder. (2010). ChIP-Seq. Methods in enzymology on CD-ROM/Methods in enzymology. 470. 77–104. 21 indexed citations
19.
Lefrançois, Philippe, Ghia Euskirchen, Raymond K. Auerbach, et al.. (2009). Efficient yeast ChIP-Seq using multiplex short-read DNA sequencing. BMC Genomics. 10(1). 37–37. 128 indexed citations
20.
Teytelman, Lenny, Bilge Özaydın, Oliver A. Zill, et al.. (2009). Impact of Chromatin Structures on DNA Processing for Genomic Analyses. PLoS ONE. 4(8). e6700–e6700. 94 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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