Julia Dancourt

1.6k total citations
19 papers, 1.1k citations indexed

About

Julia Dancourt is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Julia Dancourt has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Cell Biology. Recurrent topics in Julia Dancourt's work include Glycosylation and Glycoproteins Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Cellular transport and secretion (4 papers). Julia Dancourt is often cited by papers focused on Glycosylation and Glycoproteins Research (5 papers), Autophagy in Disease and Therapy (5 papers) and Cellular transport and secretion (4 papers). Julia Dancourt collaborates with scholars based in France, United States and Netherlands. Julia Dancourt's co-authors include Charles Barlowe, Thomas J. Melia, Ralph R. Isberg, Craig R. Roy, Tamara J. O’Connor, Stuart Moore, Shanta Nag, Sangeeta Nath, Ai Yamamoto and Isabelle Chantret and has published in prestigious journals such as Science, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Julia Dancourt

18 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Dancourt France 12 690 425 304 222 185 19 1.1k
Adriana L. Rojas Spain 19 940 1.4× 169 0.4× 644 2.1× 123 0.6× 121 0.7× 44 1.6k
Kazunobu Saito Japan 16 702 1.0× 347 0.8× 324 1.1× 255 1.1× 96 0.5× 20 1.3k
Bruno Guhl Switzerland 15 463 0.7× 324 0.8× 337 1.1× 179 0.8× 16 0.1× 26 957
Kassidy K. Huynh Canada 13 567 0.8× 448 1.1× 303 1.0× 291 1.3× 153 0.8× 14 1.4k
Kohei Arasaki Japan 20 849 1.2× 307 0.7× 620 2.0× 218 1.0× 411 2.2× 39 1.4k
Daniela B. Munafó United States 15 855 1.2× 1.0k 2.4× 562 1.8× 353 1.6× 103 0.6× 19 2.0k
Elsa-Noah N’Diaye France 12 421 0.6× 418 1.0× 165 0.5× 413 1.9× 35 0.2× 16 1.2k
Andreá Schneider Germany 19 521 0.8× 383 0.9× 69 0.2× 338 1.5× 24 0.1× 31 1.2k
Riccardo Bernasconi Switzerland 11 715 1.0× 434 1.0× 621 2.0× 223 1.0× 11 0.1× 14 1.3k

Countries citing papers authored by Julia Dancourt

Since Specialization
Citations

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

Fields of papers citing papers by Julia Dancourt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Dancourt

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

All Works

19 of 19 papers shown
1.
Dache, Zahra Al Amir, et al.. (2025). Quantitative cellular characterization of extracellular mitochondria uptake and delivery. Nature Communications. 16(1). 9053–9053.
2.
Dancourt, Julia, et al.. (2023). Virus-Free Method to Control and Enhance Extracellular Vesicle Cargo Loading and Delivery. ACS Applied Bio Materials. 6(3). 1081–1091. 22 indexed citations
3.
Dancourt, Julia, et al.. (2023). Efficient cell death mediated by bioengineered killer extracellular vesicles. Scientific Reports. 13(1). 1086–1086. 2 indexed citations
4.
Dancourt, Julia, et al.. (2023). Cholesterol and Ceramide Facilitate Membrane Fusion Mediated by the Fusion Peptide of the SARS-CoV-2 Spike Protein. ACS Omega. 8(36). 32729–32739. 5 indexed citations
5.
Dancourt, Julia, Roberta Palmulli, Olivier G. de Jong, et al.. (2023). Lack of involvement of CD63 and CD9 tetraspanins in the extracellular vesicle content delivery process. Communications Biology. 6(1). 532–532. 40 indexed citations
6.
Nair, Satish S., et al.. (2020). Combining feature selection and shape analysis uncovers precise rules for miRNA regulation in Huntington’s disease mice. BMC Bioinformatics. 21(1). 75–75. 5 indexed citations
7.
Farina, Francesca, Swati Naphade, Kizito‐Tshitoko Tshilenge, et al.. (2020). FOXO3 targets are reprogrammed as Huntington's disease neural cells and striatal neurons face senescence with p16INK4a increase. Aging Cell. 19(11). e13226–e13226. 19 indexed citations
8.
Vuillaumier‐Barrot, Sandrine, Manuel Schiff, Francesca Mattioli, et al.. (2018). Wide clinical spectrum in ALG8-CDG: clues from molecular findings suggest an explanation for a milder phenotype in the first-described patient. Pediatric Research. 85(3). 384–389. 6 indexed citations
9.
Nath, Sangeeta, Julia Dancourt, Vladimir Shteyn, et al.. (2014). Lipidation of the LC3/GABARAP family of autophagy proteins relies on a membrane-curvature-sensing domain in Atg3. Nature Cell Biology. 16(5). 415–424. 201 indexed citations
10.
Dancourt, Julia & Thomas J. Melia. (2014). Lipidation of the autophagy proteins LC3 and GABARAP is a membrane-curvature dependent process. Autophagy. 10(8). 1470–1471. 34 indexed citations
11.
Nath, Sangeeta, Julia Dancourt, Shanta Nag, et al.. (2013). The Lipidation Machinery Involved in Autophagosome Growth is Only Functional on Highly Curved Membranes. Biophysical Journal. 104(2). 97a–97a. 1 indexed citations
12.
Dancourt, Julia, et al.. (2012). The Legionella Effector RavZ Inhibits Host Autophagy Through Irreversible Atg8 Deconjugation. Science. 338(6110). 1072–1076. 360 indexed citations
13.
Dancourt, Julia & Charles Barlowe. (2010). Protein Sorting Receptors in the Early Secretory Pathway. Annual Review of Biochemistry. 79(1). 777–802. 218 indexed citations
14.
Dancourt, Julia & Charles Barlowe. (2009). Erv26p‐Dependent Export of Alkaline Phosphatase from the ER Requires Lumenal Domain Recognition. Traffic. 10(8). 1006–1018. 14 indexed citations
15.
Dancourt, Julia, Sandrine Vuillaumier‐Barrot, Hélène Ogier de Baulny, et al.. (2006). A New Intronic Mutation in the DPM1 Gene Is Associated With a Milder Form of CDG Ie in Two French Siblings. Pediatric Research. 59(6). 835–839. 25 indexed citations
16.
17.
Chantret, Isabelle, Julia Dancourt, Alain Barbat, & Stuart Moore. (2004). Two Proteins Homologous to the N- and C-terminal Domains of the Bacterial Glycosyltransferase Murg Are Required for the Second Step of Dolichyl-linked Oligosaccharide Synthesis in Saccharomyces cerevisiae. Journal of Biological Chemistry. 280(10). 9236–9242. 34 indexed citations
18.
Chantret, Isabelle, Julia Dancourt, Thierry Dupré, et al.. (2003). A Deficiency in Dolichyl-P-glucose:Glc1Man9GlcNAc2-PP-dolichyl α3-Glucosyltransferase Defines a New Subtype of Congenital Disorders of Glycosylation. Journal of Biological Chemistry. 278(11). 9962–9971. 68 indexed citations
19.
Chantret, Isabelle, Thierry Dupré, Christophe Delenda, et al.. (2002). Congenital Disorders of Glycosylation Type Ig Is Defined by a Deficiency in Dolichyl-P-mannose:Man7GlcNAc2-PP-dolichyl Mannosyltransferase. Journal of Biological Chemistry. 277(28). 25815–25822. 78 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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