Emeline Chu‐Van

987 total citations
10 papers, 342 citations indexed

About

Emeline Chu‐Van is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Emeline Chu‐Van has authored 10 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Emeline Chu‐Van's work include Porphyrin Metabolism and Disorders (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). Emeline Chu‐Van is often cited by papers focused on Porphyrin Metabolism and Disorders (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). Emeline Chu‐Van collaborates with scholars based in France, Switzerland and Serbia. Emeline Chu‐Van's co-authors include Benoît Colsch, Alain Pruvost, Grégoire Chevalier, Ivo G. Boneca, François Leulier, Laure Guenin‐Macé, Caroline Demangel, Aline Rifflet, Thomas Laval and Gérard Eberl and has published in prestigious journals such as Nature Communications, Journal of Allergy and Clinical Immunology and Cell Reports.

In The Last Decade

Emeline Chu‐Van

7 papers receiving 338 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emeline Chu‐Van France 4 187 135 97 64 42 10 342
Dorota Myślińska Poland 9 95 0.5× 62 0.5× 122 1.3× 44 0.7× 43 1.0× 25 328
Xiangyu Du China 9 244 1.3× 177 1.3× 100 1.0× 77 1.2× 17 0.4× 16 399
Naoya Hashikawa Japan 12 277 1.5× 39 0.3× 71 0.7× 39 0.6× 86 2.0× 27 466
Thomas Laval France 5 218 1.2× 134 1.0× 86 0.9× 64 1.0× 14 0.3× 7 382
Yashika Bansal India 7 152 0.8× 134 1.0× 66 0.7× 55 0.9× 43 1.0× 20 363
Kazuo Kunisawa Japan 11 123 0.7× 208 1.5× 55 0.6× 131 2.0× 62 1.5× 31 401
Geoffrey Canet France 10 88 0.5× 109 0.8× 165 1.7× 103 1.6× 62 1.5× 18 394
Anne Gulbins Germany 5 151 0.8× 85 0.6× 33 0.3× 31 0.5× 16 0.4× 9 303
Dong Ik Park Germany 8 110 0.6× 94 0.7× 84 0.9× 37 0.6× 46 1.1× 14 234
Kanako Nozaki Japan 10 150 0.8× 111 0.8× 81 0.8× 51 0.8× 77 1.8× 18 321

Countries citing papers authored by Emeline Chu‐Van

Since Specialization
Citations

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

Fields of papers citing papers by Emeline Chu‐Van

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emeline Chu‐Van. 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 Emeline Chu‐Van. The network helps show where Emeline Chu‐Van may publish in the future.

Co-authorship network of co-authors of Emeline Chu‐Van

This figure shows the co-authorship network connecting the top 25 collaborators of Emeline Chu‐Van. A scholar is included among the top collaborators of Emeline Chu‐Van 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 Emeline Chu‐Van. Emeline Chu‐Van 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.
Alzaïd, Fawaz, Anupama Karnam, Srinivasa Reddy Bonam, et al.. (2025). Regulation of immune cell metabolism by therapeutic normal IgG intravenous immunoglobulin. Journal of Allergy and Clinical Immunology. 156(2). 418–432.
2.
Sun, Jihan, Estelle Pujos‐Guillot, Mélanie Pétéra, et al.. (2025). PLD2 is a marker for MASLD-HCC with early-stage fibrosis: revealed by lipidomic and gene expression analysis. Metabolomics. 21(2). 39–39. 1 indexed citations
3.
Bitard, Juliette, Helena Prior Filipe, Annaïg Hamon, et al.. (2024). Uveitic glaucoma-like features in Yap conditional knockout mice. Cell Death Discovery. 10(1). 48–48. 1 indexed citations
4.
Mariotti, François, Marie Tremblay‐Franco, Véronique Mathé, et al.. (2024). Increasing plant protein in the diet induces changes in the plasma metabolome that may be beneficial for metabolic health. A randomized crossover study in males. Clinical Nutrition. 43(12). 146–157.
5.
Lefèbvre, Thibaud, Thibaut Eguether, Etienne Thévenot, et al.. (2024). Nontargeted urine metabolomic analysis of acute intermittent porphyria reveals novel interactions between bile acids and heme metabolism: New promising biomarkers for the long‐term management of patients. Journal of Inherited Metabolic Disease. 48(1). e12809–e12809.
6.
Caffin, Fanny, Thierry Douki, Jean‐François Benoist, et al.. (2024). Metabolomics Analysis of Rabbit Plasma after Ocular Exposure to Vapors of Sulfur Mustard. Metabolites. 14(7). 349–349. 1 indexed citations
7.
8.
Chevalier, Grégoire, Eleni Siopi, Laure Guenin‐Macé, et al.. (2020). Effect of gut microbiota on depressive-like behaviors in mice is mediated by the endocannabinoid system. Nature Communications. 11(1). 6363–6363. 247 indexed citations
9.
Boutry, Maxime, Julien Branchu, Claire Pujol, et al.. (2018). Inhibition of Lysosome Membrane Recycling Causes Accumulation of Gangliosides that Contribute to Neurodegeneration. Cell Reports. 23(13). 3813–3826. 59 indexed citations
10.
Bailly‐Chouriberry, Ludovic, Emeline Chu‐Van, Gaud Dervilly, et al.. (2008). Detection of secondary biomarker of met-eGH as a strategy to screen for somatotropin misuse in horseracing. The Analyst. 133(2). 270–276. 29 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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