Magali Prigent

1.4k citations
19 papers · 1.1k indexed · h-index 14

Impact in

  • Physiology top 5%
    • Adenosine and Purinergic Signaling
    • Zebrafish Biomedical Research Applications
    • Cellular transport and secretion

Papers in

    • RNA Research and Splicing 3
    • Fungal and yeast genetics research 2
    • Plant Reproductive Biology 2
    • Cellular transport and secretion 3
    • Endoplasmic Reticulum Stress and Disease 2

Magali Prigent

19 papers receiving 1.0k citations

Peers

Magali Prigent
Comparison fields: 5 of 112
  • Physiology 110
  • Cell Biology 360
  • Molecular Biology 630
  • Immunology 134
  • Ecology 146
Replace E. Desbruyères with:
E. Desbruyères France
Stephen J. Duguay United States
Mark C. Alliegro United States
Nancy A. Dower Canada
Nicholas Κ. Moschonas Greece
Gianluca Deflorian Italy
Paul Collodi United States
Liezhen Fu United States
Jacqueline Noaillac‐Depeyre France
Neha Wali United Kingdom
Magali Prigent relative to E. Desbruyères France E. Desbruyères's profile →
Citations per field
00.5×1.5×
E. Desbruyères · 1×
Citations per year

Countries citing papers authored by Magali Prigent

Since Specialization
Citations

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

Fields of papers citing papers by Magali Prigent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Magali Prigent, 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 Magali Prigent Line = papers co-authored together Magali Prigent links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1996319
2 2003173
3 2008111
4 200092
5 200570
6 200870
7 200737
8 201435
9 201231
10 200830
11 199719
12 201518
13 200817
14 201317
15 20137
16 20117
17 20236
18 20242
19 20071

About Magali Prigent

Magali Prigent is a scholar working on Molecular Biology, Cell Biology, Ecology, Epidemiology and Artificial Intelligence, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (3 papers), Cellular transport and secretion (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Bacteriophages and microbial interactions (2 papers), Fungal and yeast genetics research (2 papers), Adenosine and Purinergic Signaling (2 papers), Cognitive Science and Mapping (2 papers) and Plant Reproductive Biology (2 papers). The work is most often cited by research in Physiology (110 citations), Cell Biology (360 citations), Molecular Biology (630 citations), Immunology (134 citations) and Ecology (146 citations). Magali Prigent has collaborated with scholars based in France, Germany and United States. Frequent co-authors include L. Bourcheix, Françoise Dieterlen‐Lièvre, Dominique Luton, Martin Catala, Luc Pardanaud, Isabelle Barlat, Hanno Langen, Catherine Dargemont, Graça Raposo and Jacques Camonis. Their work appears in journals such as Traffic, Journal of Biological Chemistry, PLoS ONE, The Journal of Cell Biology and Journal of Cellular Biochemistry.

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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