Clarisse Gânier

758 total citations
17 papers, 314 citations indexed

About

Clarisse Gânier is a scholar working on Molecular Biology, Dermatology and Cell Biology. According to data from OpenAlex, Clarisse Gânier has authored 17 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Dermatology and 4 papers in Cell Biology. Recurrent topics in Clarisse Gânier's work include Single-cell and spatial transcriptomics (5 papers), Skin Protection and Aging (4 papers) and Skin and Cellular Biology Research (3 papers). Clarisse Gânier is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Skin Protection and Aging (4 papers) and Skin and Cellular Biology Research (3 papers). Clarisse Gânier collaborates with scholars based in United Kingdom, France and United States. Clarisse Gânier's co-authors include Fiona M. Watt, Magnus Lynch, Xinyi Du-Harpur, Alain Hovnanian, Rakesh Patalay, Bo Wan, Araksya Izmiryan, Matteo Bovolenta, Alain Schmitt and Fulvio Mavilio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Clarisse Gânier

16 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clarisse Gânier United Kingdom 9 119 82 65 61 47 17 314
Geraint J. Parfitt United States 14 76 0.6× 83 1.0× 102 1.6× 37 0.6× 34 0.7× 21 660
Blanche K.K. Lo Canada 8 71 0.6× 62 0.8× 69 1.1× 17 0.3× 63 1.3× 8 332
Edward Marsh United States 5 102 0.9× 96 1.2× 60 0.9× 28 0.5× 42 0.9× 5 282
Benedetta Gualeni Italy 12 162 1.4× 86 1.0× 99 1.5× 53 0.9× 21 0.4× 14 479
Benjamin Swedlund Belgium 7 270 2.3× 92 1.1× 42 0.6× 30 0.5× 32 0.7× 8 418
Kristin Seltmann Germany 6 200 1.7× 343 4.2× 27 0.4× 44 0.7× 41 0.9× 8 480
Wera Roth Germany 8 154 1.3× 273 3.3× 62 1.0× 24 0.4× 18 0.4× 9 433
Kathleen C. Suozzi United States 8 172 1.4× 159 1.9× 83 1.3× 15 0.2× 141 3.0× 21 453
G. Ricotti Italy 10 134 1.1× 34 0.4× 118 1.8× 20 0.3× 164 3.5× 26 459
В. В. Терских Russia 11 193 1.6× 87 1.1× 58 0.9× 22 0.4× 41 0.9× 39 427

Countries citing papers authored by Clarisse Gânier

Since Specialization
Citations

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

Fields of papers citing papers by Clarisse Gânier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clarisse Gânier

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

All Works

17 of 17 papers shown
1.
Kravvas, Georgios, Clarisse Gânier, Maurits de Koning, et al.. (2025). A Direct Comparative Analysis of HPV DNA with Single-Molecule RNA and p16INK4a Protein Expression in Lichen Sclerosus: Implications for Diagnostics and Pathogenesis. JID Innovations. 5(4). 100367–100367. 1 indexed citations
2.
Wyles, Saranya P., et al.. (2025). SenSkin™: a human skin-specific cellular senescence gene set. GeroScience. 47(3). 2631–2638. 2 indexed citations
3.
Gânier, Clarisse, et al.. (2025). Fetal Fibroblast Heterogeneity Defines Dermal Architecture during Human Embryonic Skin Development. Journal of Investigative Dermatology. 145(5). 1081–1091.e7. 1 indexed citations
4.
Rudan, Matteo Vietri, Kalle Sipilä, Christina Philippeos, et al.. (2024). Neutral evolution of snoRNA Host Gene long non-coding RNA affects cell fate control. The EMBO Journal. 43(18). 4049–4067. 2 indexed citations
5.
Gânier, Clarisse, et al.. (2024). 490 Fetal fibroblast heterogeneity defines dermal architecture during human embryonic skin development. Journal of Investigative Dermatology. 144(12). S313–S313.
6.
Gânier, Clarisse, Xinyi Du-Harpur, Pawan Dhami, et al.. (2024). Single-cell analysis of psoriasis resolution demonstrates an inflammatory fibroblast state targeted by IL-23 blockade. Nature Communications. 15(1). 913–913. 38 indexed citations
7.
Gânier, Clarisse, David B. Allison, Tamar Tchkonia, et al.. (2024). Mapping epidermal and dermal cellular senescence in human skin aging. Aging Cell. 24(1). e14358–e14358. 12 indexed citations
8.
Gânier, Clarisse, Pavel Mazin, Xinyi Du-Harpur, et al.. (2024). Multiscale spatial mapping of cell populations across anatomical sites in healthy human skin and basal cell carcinoma. Proceedings of the National Academy of Sciences. 121(2). e2313326120–e2313326120. 26 indexed citations
9.
Negri, Victor Augusti, Clarisse Gânier, Christina Philippeos, et al.. (2023). Single-cell RNA sequencing of human epidermis identifies Lunatic fringe as a novel regulator of the stem cell compartment. Stem Cell Reports. 18(11). 2047–2055. 10 indexed citations
10.
Saklatvala, Jake, Rossella Rispoli, Clarisse Gânier, et al.. (2023). Genome-wide meta-analysis implicates variation affecting mast cell biology in urticaria. Journal of Allergy and Clinical Immunology. 153(2). 521–526.e11. 3 indexed citations
11.
Ali, Shahnawaz, S A Mobasseri, Rafael Tapia‐Rojo, et al.. (2023). Myc-dependent dedifferentiation of Gata6+ epidermal cells resembles reversal of terminal differentiation. Nature Cell Biology. 25(10). 1426–1438. 10 indexed citations
12.
Gânier, Clarisse, et al.. (2022). Fibroblast Heterogeneity in Healthy and Wounded Skin. Cold Spring Harbor Perspectives in Biology. 14(6). a041238–a041238. 20 indexed citations
13.
Cunningham, Louise, Clarisse Gânier, Ian R. White, et al.. (2021). Gradient boosting approaches can outperform logistic regression for risk prediction in cutaneous allergy. Contact Dermatitis. 86(3). 165–174. 3 indexed citations
14.
Wan, Bo, Clarisse Gânier, Xinyi Du-Harpur, et al.. (2020). Applications and future directions for optical coherence tomography in dermatology*. British Journal of Dermatology. 184(6). 1014–1022. 89 indexed citations
15.
Izmiryan, Araksya, Clarisse Gânier, Matteo Bovolenta, et al.. (2018). 808 Ex vivo COL7A1 correction for recessive dystrophic epidermolysis bullosa using CRISPR/Cas9 and homology directed repair. Journal of Investigative Dermatology. 138(5). S137–S137. 2 indexed citations
16.
Izmiryan, Araksya, Clarisse Gânier, Matteo Bovolenta, et al.. (2018). Ex Vivo COL7A1 Correction for Recessive Dystrophic Epidermolysis Bullosa Using CRISPR/Cas9 and Homology-Directed Repair. Molecular Therapy — Nucleic Acids. 12. 554–567. 52 indexed citations
17.
Jackow, J., Matthias Titeux, S. Charbonnier, et al.. (2016). Gene-Corrected Fibroblast Therapy for Recessive Dystrophic Epidermolysis Bullosa using a Self-Inactivating COL7A1 Retroviral Vector. Journal of Investigative Dermatology. 136(7). 1346–1354. 43 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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