Marjorie Perron

836 citations
16 papers · 677 · h-index 9

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Hematology top 10%
    • Platelet Disorders and Treatments

Papers in

    • MicroRNA in disease regulation 6
    • Breast Cancer Treatment Studies 3
    • RNA Interference and Gene Delivery 3
    • Fungal and yeast genetics research 2
    • RNA modifications and cancer 2

Marjorie Perron

14 papers receiving 670 citations

Peers

Marjorie Perron
Comparison fields: 5 of 77
  • Cancer Research 328
  • Hematology 100
  • Internal Medicine 19
  • Molecular Biology 390
  • Biochemistry 18
Replace Brian D. Blackhart with:
Brian D. Blackhart United States
Hiroshi Shin Japan
Monika Haemmerle Germany
Dan Foy United States
Karine Enesa United Kingdom
Roselyne Tournaire France
Emilia Furmaniak-Kazmierczak Canada
Klaus Fortschegger Austria
Maria Kauppi Australia
T Tokioka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Marjorie Perron

Since Specialization
Citations

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

Fields of papers citing papers by Marjorie Perron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009388
2 2006100
3 200851
4 201239
5 200723
6 200621
7 200314
8 201114
9 202010
10 20177
11 20195
12 20243
13 20181
14 20221
15 20260
16 20250

About Marjorie Perron

Marjorie Perron is a scholar working on Cancer Research, Molecular Biology, Pathology and Forensic Medicine, Genetics and Surgery, having authored 16 papers that have together received 677 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA Interference and Gene Delivery (3 papers), Breast Cancer Treatment Studies (3 papers), Breast Lesions and Carcinomas (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Fungal and yeast genetics research (2 papers), Cancer and Skin Lesions (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Cancer Research (328 citations), Hematology (100 citations), Internal Medicine (19 citations), Molecular Biology (390 citations) and Biochemistry (18 citations). Marjorie Perron has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Patrick Provost, Dominique L. Ouellet, Isabelle Plante, Patricia Landry, Guy Rousseau, Lise-Andrée Gobeil, Pierre Plante, Geneviève Pépin, Dominick Pallotta and Vincent Boissonneault. Their work appears in journals such as Cancer Treatment Reviews, Canadian Journal of Ophthalmology, Archives of Pathology & Laboratory Medicine, BioMed Research International and Genetics.

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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