Gaëlle Lapouge

35 total papers · 4.3k total citations
18 papers, 2.6k citations indexed

About

Gaëlle Lapouge is a scholar working on Molecular Biology, Oncology and Dermatology. According to data from OpenAlex, Gaëlle Lapouge has authored 18 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Dermatology. Recurrent topics in Gaëlle Lapouge's work include Hedgehog Signaling Pathway Studies (5 papers), Cancer and Skin Lesions (5 papers) and Cancer Cells and Metastasis (5 papers). Gaëlle Lapouge is often cited by papers focused on Hedgehog Signaling Pathway Studies (5 papers), Cancer and Skin Lesions (5 papers) and Cancer Cells and Metastasis (5 papers). Gaëlle Lapouge collaborates with scholars based in Belgium, France and United States. Gaëlle Lapouge's co-authors include Cédric Blanpain, Khalil Kass Youssef, Benjamin Beck, Panagiota A. Sotiropoulou, Christine Dubois, Younès Achouri, C. Semeraro, Grégory Driessens, Sandrine Rorive and Isabelle Salmon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Gaëlle Lapouge

18 papers receiving 2.6k citations

Hit Papers

SOX2 controls tumour init... 2014 2026 2018 2022 2014 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gaëlle Lapouge 1.7k 1.0k 501 408 322 18 2.6k
Khalil Kass Youssef 1.2k 0.7× 908 0.9× 337 0.7× 435 1.1× 395 1.2× 15 2.2k
Sophie Dekoninck 1.1k 0.7× 965 1.0× 339 0.7× 530 1.3× 260 0.8× 10 2.4k
Beate M. Lichtenberger 1.1k 0.6× 638 0.6× 234 0.5× 529 1.3× 555 1.7× 28 2.5k
Hui C. Tsou 2.1k 1.2× 600 0.6× 330 0.7× 253 0.6× 253 0.8× 37 2.9k
William M. Keyes 1.6k 1.0× 654 0.7× 353 0.7× 183 0.4× 165 0.5× 27 2.8k
Panagiota A. Sotiropoulou 1.9k 1.1× 1.3k 1.3× 533 1.1× 499 1.2× 362 1.1× 45 4.4k
Enrica Martinelli 1.5k 0.9× 1.0k 1.0× 501 1.0× 574 1.4× 120 0.4× 44 3.1k
Hanseul Yang 1.1k 0.6× 783 0.8× 299 0.6× 339 0.8× 228 0.7× 21 2.1k
Iris Moll 1.3k 0.7× 877 0.9× 449 0.9× 148 0.4× 108 0.3× 28 2.5k
Catherine D. Van Raamsdonk 1.7k 1.0× 1.1k 1.1× 298 0.6× 639 1.6× 146 0.5× 26 2.9k

Countries citing papers authored by Gaëlle Lapouge

Since Specialization
Citations

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

Fields of papers citing papers by Gaëlle Lapouge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaëlle Lapouge

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

All Works

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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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