Édith Massé

1.3k citations
14 papers · 321 · h-index 6

Impact in

    • DNA Repair Mechanisms
    • Cancer therapeutics and mechanisms
    • DNA and Nucleic Acid Chemistry
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • CRISPR and Genetic Engineering

Papers in

Édith Massé

13 papers receiving 318 citations

Peers

Édith Massé
Comparison fields: 5 of 52
  • Molecular Medicine 17
  • Molecular Biology 209
  • Endocrine and Autonomic Systems 13
  • Genetics 53
  • Pulmonary and Respiratory Medicine 52
Replace Sharon Tang with:
Sharon Tang United States
Lina Cui China
Juan Manuel Palacios Spain
Marija Dmitrijeva Switzerland
Robert M. Witwicki United States
Frauke Mekus Germany
Mark A. Kwatia United States
Stephanie Tamm Germany
Ulrike Laabs Germany
Reiko Kido Japan
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Citations per year

Countries citing papers authored by Édith Massé

Since Specialization
Citations

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

Fields of papers citing papers by Édith Massé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1995225
2 201743
3 202012
4 202012
5 20238
6 20175
7 20205
8 20224
9 20232
10 20192
11 19971
12 20221
13 20241
14 20250

About Édith Massé

Édith Massé is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology, Surgery, Molecular Biology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 321 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Respiratory viral infections research (3 papers), Simulation-Based Education in Healthcare (1 paper), Fatty Acid Research and Health (1 paper), Anesthesia and Pain Management (1 paper), Congenital Diaphragmatic Hernia Studies (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Neonatal and Maternal Infections (1 paper). The work is most often cited by research in Molecular Medicine (17 citations), Molecular Biology (209 citations), Endocrine and Autonomic Systems (13 citations), Genetics (53 citations) and Pulmonary and Respiratory Medicine (52 citations). Édith Massé has collaborated with scholars based in Canada, United States and Qatar. Frequent co-authors include Leroy F. Liu, Marc Drolet, Pauline Phoenix, Robert J. Crouch, Rolf Menzel, Georges Caouette, Sylvie Bélanger, Anne‐Sophie Julien, Nabeel Ali and Sophie Nadeau. Their work appears in journals such as Journal of Perinatology, Canadian Journal of Anesthesia/Journal canadien d anesthésie, European Journal of Pediatrics, The Journal of Pediatrics and Journal of the Pediatric Infectious Diseases Society.

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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