Sophie Liot

891 total citations
10 papers, 594 citations indexed

About

Sophie Liot is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Sophie Liot has authored 10 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Surgery and 2 papers in Oncology. Recurrent topics in Sophie Liot's work include Muscle Physiology and Disorders (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Sophie Liot is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Tissue Engineering and Regenerative Medicine (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Sophie Liot collaborates with scholars based in France, Switzerland and Netherlands. Sophie Liot's co-authors include Bénédicte Chazaud, Rémi Mounier, Bernard Verrier, Ulrich Valcourt, Alexandre Aubert, Elise Lambert, Pascal Stuelsatz, Mélanie Magnan, Claire Latroche and Uxía Gurriarán‐Rodríguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Cell stem cell.

In The Last Decade

Sophie Liot

9 papers receiving 587 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sophie Liot France 7 418 152 133 104 78 10 594
Léo Machado France 7 513 1.2× 146 1.0× 127 1.0× 88 0.8× 42 0.5× 10 600
Akshay Bareja United States 13 490 1.2× 218 1.4× 203 1.5× 133 1.3× 24 0.3× 21 798
Arshia Soleimani United States 6 559 1.3× 203 1.3× 130 1.0× 102 1.0× 53 0.7× 10 877
Namrata Mastey United States 3 427 1.0× 127 0.8× 78 0.6× 69 0.7× 59 0.8× 4 566
Sole Gatto United States 12 859 2.1× 232 1.5× 133 1.0× 195 1.9× 127 1.6× 20 1.1k
Matthias Megges Germany 9 402 1.0× 102 0.7× 175 1.3× 277 2.7× 60 0.8× 12 686
Osvaldo Contreras Chile 15 713 1.7× 199 1.3× 169 1.3× 247 2.4× 69 0.9× 25 1.0k
Joseph M. Feduska United States 10 373 0.9× 116 0.8× 223 1.7× 189 1.8× 35 0.4× 14 625
Suchitra D. Gopinath India 8 475 1.1× 166 1.1× 113 0.8× 110 1.1× 28 0.4× 11 604
Kitipong Uaesoontrachoon United States 15 473 1.1× 120 0.8× 79 0.6× 85 0.8× 21 0.3× 25 615

Countries citing papers authored by Sophie Liot

Since Specialization
Citations

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

Fields of papers citing papers by Sophie Liot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sophie Liot

This figure shows the co-authorship network connecting the top 25 collaborators of Sophie Liot. A scholar is included among the top collaborators of Sophie Liot 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 Sophie Liot. Sophie Liot 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.
Migliavacca, Eugenia, Gaëtan Juban, Sophie Liot, et al.. (2025). Immune aging impairs muscle regeneration via macrophage-derived anti-oxidant selenoprotein P. EMBO Reports. 26(16). 4153–4179.
2.
Bovio, Simone, et al.. (2023). Analysis of biomechanical properties of mouse skin dermis through atomic force microscopy: Application to demonstrate a sexual dimorphism. Experimental Dermatology. 32(7). 1016–1027. 2 indexed citations
3.
Liot, Sophie, Naïma El Kholti, Laurent Genestier, et al.. (2021). Development of thymic tumor in [LSL:KrasG12D; Pdx1-CRE] mice, an adverse effect associated with accelerated pancreatic carcinogenesis. Scientific Reports. 11(1). 15075–15075. 4 indexed citations
4.
Liot, Sophie, Alexandre Aubert, Bernard Verrier, et al.. (2021). Stroma Involvement in Pancreatic Ductal Adenocarcinoma: An Overview Focusing on Extracellular Matrix Proteins. Frontiers in Immunology. 12. 612271–612271. 63 indexed citations
5.
Aubert, Alexandre, Sophie Liot, Lindsay B. Alcaraz, et al.. (2021). Latent TGF-β Activation Is a Hallmark of the Tenascin Family. Frontiers in Immunology. 12. 613438–613438. 29 indexed citations
6.
Liot, Sophie, Alexandre Aubert, Valérie Hervieu, et al.. (2020). Loss of Tenascin-X expression during tumor progression: A new pan-cancer marker. SHILAP Revista de lepidopterología. 6-7. 100021–100021. 28 indexed citations
7.
Desgeorges, Thibaut, Sophie Liot, David Rousseau, et al.. (2019). Open-CSAM, a new tool for semi-automated analysis of myofiber cross-sectional area in regenerating adult skeletal muscle. Skeletal Muscle. 9(1). 2–2. 53 indexed citations
8.
Karaz, Sonia, Pascal Stuelsatz, Uxía Gurriarán‐Rodríguez, et al.. (2019). Aging Disrupts Muscle Stem Cell Function by Impairing Matricellular WISP1 Secretion from Fibro-Adipogenic Progenitors. Cell stem cell. 24(3). 433–446.e7. 225 indexed citations
9.
Connor, Bronwen, Ruth Monk, Kevin Lee, et al.. (2018). Conversion of adult human fibroblasts into neural precursor cells using chemically modified mRNA. Heliyon. 4(11). e00918–e00918. 26 indexed citations
10.
Latroche, Claire, Michèle Weiss‐Gayet, Laurent Muller, et al.. (2017). Coupling between Myogenesis and Angiogenesis during Skeletal Muscle Regeneration Is Stimulated by Restorative Macrophages. Stem Cell Reports. 9(6). 2018–2033. 164 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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