Maud Wurmser

419 total citations
12 papers, 236 citations indexed

About

Maud Wurmser is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Maud Wurmser has authored 12 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Maud Wurmser's work include Muscle Physiology and Disorders (6 papers), Pluripotent Stem Cells Research (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Maud Wurmser is often cited by papers focused on Muscle Physiology and Disorders (6 papers), Pluripotent Stem Cells Research (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). Maud Wurmser collaborates with scholars based in France, Japan and United States. Maud Wurmser's co-authors include Pascal Maire, Frédéric Relaix, Iori Sakakibara, Matthieu Dos Santos, Frank Yang, Shirley Lieu, Marie Mortreux, Céline Colnot, Theodore Miclau and Ralph Marcucio and has published in prestigious journals such as Nature Communications, Development and Journal of Bone and Mineral Research.

In The Last Decade

Maud Wurmser

12 papers receiving 233 citations

Peers

Maud Wurmser

MB

PHYSI

GENET

SURGE

CR

Lee Stone Taiwan

Kimihiko Banno Japan

Masayo Inagawa Japan

Solenne Marie France

Michael Westphal United States

Petros Tzerpos Hungary

Ulrika Felldin Sweden

Sarah Middleton United States

Anna Bosch-Comas Spain

Letizia Cassinelli Italy

Lee Stone Taiwan

Maud Wurmser

241 ×1.3

MB

52 ×1.7

PHYSI

35 ×1.2

GENET

42 ×1.6

SURGE

26 ×1.0

CR

Citations per year, relative to Maud Wurmser Maud Wurmser (= 1×) peers Lee Stone

Countries citing papers authored by Maud Wurmser

Since Specialization

Citations

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

Fields of papers citing papers by Maud Wurmser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Wurmser

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

All Works

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12 of 12 papers shown

1.

Wurmser, Maud, et al.. (2023). Dysregulation of core neurodevelopmental pathways—a common feature of cancers with perineural invasion. Frontiers in Genetics. 14. 1181775–1181775. 3 indexed citations

2.

Wurmser, Maud, et al.. (2023). CXCL12 targets the primary cilium cAMP/cGMP ratio to regulate cell polarity during migration. Nature Communications. 14(1). 8003–8003. 8 indexed citations

3.

Wurmser, Maud, Nathalie Chaverot, Stéphanie Backer, et al.. (2023). Overlapping functions of SIX homeoproteins during embryonic myogenesis. PLoS Genetics. 19(6). e1010781–e1010781. 4 indexed citations

4.

Santos, Matthieu Dos, Stéphanie Backer, Frédéric Aurade, et al.. (2022). A fast Myosin super enhancer dictates muscle fiber phenotype through competitive interactions with Myosin genes. Nature Communications. 13(1). 1039–1039. 35 indexed citations

5.

Wurmser, Maud, et al.. (2021). Robo2 Receptor Gates the Anatomical Divergence of Neurons Derived From a Common Precursor Origin. Frontiers in Cell and Developmental Biology. 9. 668175–668175. 4 indexed citations

6.

Calpena, Eduardo, Maud Wurmser, Simon J. McGowan, et al.. (2021). Unexpected role of SIX1 variants in craniosynostosis: expanding the phenotype of SIX1-related disorders. Journal of Medical Genetics. 59(2). 165–169. 5 indexed citations

7.

Maire, Pascal, et al.. (2020). Myogenesis control by SIX transcriptional complexes. Seminars in Cell and Developmental Biology. 104. 51–64. 23 indexed citations

8.

Wurmser, Maud, Nathalie Chaverot, Hiroshi Sakai, et al.. (2020). SIX1 and SIX4 homeoproteins regulate PAX7+ progenitor cell properties during fetal epaxial myogenesis. Development. 147(19). 10 indexed citations

9.

Ndiaye, Papa Diogop, Maeva Dufies, Sandy Giuliano, et al.. (2019). VEGFC acts as a double-edged sword in renal cell carcinoma aggressiveness. Theranostics. 9(3). 661–675. 26 indexed citations

10.

Scionti, Isabella, Shinichiro Hayashi, Emmanuelle Girard, et al.. (2017). LSD1 Controls Timely MyoD Expression via MyoD Core Enhancer Transcription. Cell Reports. 18(8). 1996–2006. 42 indexed citations

11.

Sakakibara, Iori, Maud Wurmser, Matthieu Dos Santos, et al.. (2016). Six1 homeoprotein drives myofiber type IIA specialization in soleus muscle. Skeletal Muscle. 6(1). 30–30. 24 indexed citations

12.

Abou-Khalil, Rana, Frank Yang, Marie Mortreux, et al.. (2013). Delayed Bone Regeneration Is Linked to Chronic Inflammation in Murine Muscular Dystrophy. Journal of Bone and Mineral Research. 29(2). 304–315. 52 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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