Julia Dancourt

1.6k citations
19 papers · 1.1k · h-index 12

Impact in

    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Extracellular vesicles in disease 3
    • RNA Interference and Gene Delivery 3
    • Autophagy in Disease and Therapy 5

Julia Dancourt

18 papers receiving 1.1k citations

Peers

Julia Dancourt
Comparison fields: 5 of 81
  • Endocrinology 185
  • Cell Biology 304
  • Physiology 59
  • Epidemiology 425
  • Immunology 222
Replace Kazunobu Saito with:
Kazunobu Saito Japan
Kohei Arasaki Japan
Takahiro Kamimoto Japan
Elizabeth Sztul United States
Florian A. Horenkamp Germany
Kassidy K. Huynh Canada
Adriana L. Rojas Spain
Benjamin J. Ravenhill United Kingdom
Daniela B. Munafó United States
FoSheng Hsu United States
Julia Dancourt relative to Kazunobu Saito Japan Kazunobu Saito's profile →
Citations per field
00.5×1.5×1.9×
Kazunobu Saito · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Julia Dancourt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia Dancourt Line = papers co-authored together Julia Dancourt links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2012360
2 2010218
3 2014201
4 200278
5 200368
6 202340
7 201434
8 200434
9 200625
10 202322
11 202019
12 200914
13 20186
14 20235
15 20205
16 20053
17 20232
18 20131
19 20250

About Julia Dancourt

Julia Dancourt is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Organic Chemistry and Physiology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (5 papers), Autophagy in Disease and Therapy (5 papers), Carbohydrate Chemistry and Synthesis (4 papers), Cellular transport and secretion (4 papers), Galectins and Cancer Biology (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Extracellular vesicles in disease (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Endocrinology (185 citations), Cell Biology (304 citations), Physiology (59 citations), Epidemiology (425 citations) and Immunology (222 citations). Julia Dancourt has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Charles Barlowe, Thomas J. Melia, Tamara J. O’Connor, Craig R. Roy, Ralph R. Isberg, Stuart Moore, Shanta Nag, Sangeeta Nath, Isabelle Chantret and Joerg Bewersdorf. Their work appears in journals such as Journal of Biological Chemistry, Pediatric Research, Autophagy, Scientific Reports and Traffic.

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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