Marie‐Laure Curchod

479 total citations
8 papers, 389 citations indexed

About

Marie‐Laure Curchod is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Marie‐Laure Curchod has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Oncology. Recurrent topics in Marie‐Laure Curchod's work include Protein Tyrosine Phosphatases (4 papers), Galectins and Cancer Biology (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Marie‐Laure Curchod is often cited by papers focused on Protein Tyrosine Phosphatases (4 papers), Galectins and Cancer Biology (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Marie‐Laure Curchod collaborates with scholars based in Switzerland, Italy and United Kingdom. Marie‐Laure Curchod's co-authors include Fabrizio Arigoni, Manuel C. Peitsch, Hannes Loferer, Eric Meldrum, Richard Fish, Michael D. Edgerton, Rob Hooft van Huijsduijnen, Christian Rommel, Christian Pasquali and Anne J. Ridley and has published in prestigious journals such as Journal of Biological Chemistry, Nature Biotechnology and Electrophoresis.

In The Last Decade

Marie‐Laure Curchod

8 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marie‐Laure Curchod Switzerland	5	286	95	59	49	36	8	389
Daniel E. Todd United Kingdom	9	381 1.3×	103 1.1×	32 0.5×	36 0.7×	75 2.1×	10	513
Sophie Farinelle Luxembourg	10	173 0.6×	27 0.3×	72 1.2×	19 0.4×	44 1.2×	19	379
Corinne Lafon France	9	239 0.8×	83 0.9×	23 0.4×	25 0.5×	101 2.8×	9	353
Anna Ligasová Czechia	14	354 1.2×	38 0.4×	18 0.3×	27 0.6×	44 1.2×	29	478
Peristera Roboti United Kingdom	11	352 1.2×	74 0.8×	75 1.3×	21 0.4×	23 0.6×	17	528
Paaventhan Palasingam Singapore	10	326 1.1×	69 0.7×	35 0.6×	27 0.6×	18 0.5×	14	412
Jean‐Claude Chuat France	13	300 1.0×	187 2.0×	49 0.8×	20 0.4×	23 0.6×	32	591
Roger M. Denome United States	10	276 1.0×	45 0.5×	78 1.3×	13 0.3×	24 0.7×	13	379
Ayanori Yamakawa Japan	8	280 1.0×	33 0.3×	18 0.3×	23 0.5×	52 1.4×	12	394

Countries citing papers authored by Marie‐Laure Curchod

Since Specialization

Citations

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

Fields of papers citing papers by Marie‐Laure Curchod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Laure Curchod. 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 Marie‐Laure Curchod. The network helps show where Marie‐Laure Curchod may publish in the future.

Co-authorship network of co-authors of Marie‐Laure Curchod

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

All Works

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8 of 8 papers shown

1.

Buzgariu, Wanda, et al.. (2019). Combining BrdU-Labeling to Detection of Neuronal Markers to Monitor Adult Neurogenesis in Hydra. Methods in molecular biology. 2047. 3–24. 3 indexed citations

2.

Joubert, Lara, Isabelle Foucault, Yves Sagot, et al.. (2010). Chemical inducers and transcriptional markers of oligodendrocyte differentiation. Journal of Neuroscience Research. 88(12). 2546–2557. 44 indexed citations

3.

Pilecka, Iwona, Marie‐Laure Curchod, Dominique Perrin, et al.. (2007). Protein-tyrosine Phosphatase H1 Controls Growth Hormone Receptor Signaling and Systemic Growth. Journal of Biological Chemistry. 282(48). 35405–35415. 32 indexed citations

4.

Pasquali, Christian, Hong Ji, Corine Gilliéron, et al.. (2004). Involvement of Phosphoinositide 3-Kinase γ, Rac, and PAK Signaling in Chemokine-induced Macrophage Migration. Journal of Biological Chemistry. 279(41). 43273–43284. 86 indexed citations

5.

Espanel, Xavier, et al.. (2001). Pulling Strings Below the Surface: Hormone Receptor Signaling Through Inhibition of Protein Tyrosine Phosphatases. Endocrine. 15(1S). S19–S28. 2 indexed citations

6.

Pasquali, Christian, Francis Vilbois, Marie‐Laure Curchod, Rob Hooft van Huijsduijnen, & Fabrizio Arigoni. (2000). Mapping and identification of protein-protein interactions by two-dimensional far-Western immunoblotting. Electrophoresis. 21(16). 3357–3368. 9 indexed citations

7.

Pasquali, Christian, Francis Vilbois, Marie‐Laure Curchod, Rob Hooft van Huijsduijnen, & Fabrizio Arigoni. (2000). Mapping and identification of protein-protein interactions by two-dimensional far-Western immunoblotting. Electrophoresis. 21(16). 3357–3368. 1 indexed citations

8.

Arigoni, Fabrizio, Manuel C. Peitsch, Michael D. Edgerton, et al.. (1998). A genome-based approach for the identification of essential bacterial genes. Nature Biotechnology. 16(9). 851–856. 212 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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