Michel G. Tremblay

1.9k citations
38 papers · 1.4k indexed · h-index 20
    • RNA modifications and cancer 11
    • Genomics and Chromatin Dynamics 7
    • RNA Research and Splicing 7
    • RNA and protein synthesis mechanisms 5
    • Ubiquitin and proteasome pathways 3
    • Fibroblast Growth Factor Research 2
  • Cell Biology top 10%
    • Cellular transport and secretion 5
    • Erythrocyte Function and Pathophysiology 2

Michel G. Tremblay

37 papers receiving 1.4k citations

Peers

Michel G. Tremblay
Comparison fields: 5 of 96
  • Molecular Biology 1.1k
  • Cell Biology 200
  • Cancer Research 119
  • Virology 30
  • Oncology 156
Replace Jörg Weiske with:
Jörg Weiske Germany
Masato Takimoto Japan
Sarah K. Cho Canada
David Lennon United States
Teresa Zelinski Canada
Mattia Frontini United Kingdom
Elton Zeqiraj United Kingdom
Elisabeth Corcelle–Termeau Denmark
Seyha Seng United States
Dinko Berkovic Germany
Michel G. Tremblay relative to Jörg Weiske Germany Jörg Weiske's profile →
Citations per field
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Jörg Weiske · 1×
Citations per year

Countries citing papers authored by Michel G. Tremblay

Since Specialization
Citations

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

Fields of papers citing papers by Michel G. Tremblay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel G. Tremblay. 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 Michel G. Tremblay. The network helps show where Michel G. Tremblay may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 202213
4 202211
5 201945
6 201729
7 201760
8 201614
9 201514
10 201461
11 201221
12 201055
13 200818
14 200732
15 20043
16 1999285
17 1997153
18 199746
19 197120
20
[Protuberant dermatofibrosarcoma. Clinicopathological study of 30 cases with ultrastructure of 2 cases].
19703

About Michel G. Tremblay

Michel G. Tremblay is a scholar working on Cell Biology, Virology and Molecular Biology, having authored 38 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (11 papers), Genomics and Chromatin Dynamics (7 papers), RNA Research and Splicing (7 papers), RNA and protein synthesis mechanisms (5 papers), Cellular transport and secretion (5 papers), Ubiquitin and proteasome pathways (3 papers), Fibroblast Growth Factor Research (2 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Cell Biology (200 citations) and Cancer Research (119 citations). Michel G. Tremblay has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Tom Moss, Lucie Jeannotte, Jean Charron, Jean-Clément Mars, J Bérard, Josée Aubin, Margot Lemieux, Victor Y. Stefanovsky, Simon Rousseau and Sylvie Giroux. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Molecular Cell.

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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