Daniel Gendron

2.3k citations
38 papers · 1.7k · h-index 17

Impact in

Papers in

    • RNA Research and Splicing 9
    • RNA modifications and cancer 5
    • RNA Interference and Gene Delivery 4
    • RNA and protein synthesis mechanisms 3
    • Polyomavirus and related diseases 8

Daniel Gendron

37 papers receiving 1.6k citations

Peers

Daniel Gendron
Comparison fields: 5 of 101
  • Endocrine and Autonomic Systems 131
  • Environmental Chemistry 211
  • Cellular and Molecular Neuroscience 275
  • Neurology 185
  • Molecular Biology 855
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Gendron

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Gendron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990392
2 2001201
3 2008142
4
Small interfering RNA-mediated reduction in heterogeneous nuclear ribonucleoparticule A1/A2 proteins induces apoptosis in human cancer cells but not in normal mortal cell lines.
2003139
5 2011108
6 198996
7 201194
8 199175
9 200970
10 201352
11 198751
12 202041
13 201331
14 199328
15 199321
16 200618
17 201018
18 198114
19 201910
20 201310

About Daniel Gendron

Daniel Gendron is a scholar working on Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine, Plant Science and Neurology, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (9 papers), Polyomavirus and related diseases (8 papers), Viral Infections and Immunology Research (6 papers), Plant Virus Research Studies (6 papers), RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (131 citations), Environmental Chemistry (211 citations), Cellular and Molecular Neuroscience (275 citations), Neurology (185 citations) and Molecular Biology (855 citations). Daniel Gendron has collaborated with scholars based in Canada, Germany and United Kingdom. Frequent co-authors include Neil R. Cashman, Robert J. Zatorre, Jeanne Teitelbaum, Stirling Carpenter, Albert Gjedde, Alan C. Evans, Elvy Lapointe, Benoı̂t Chabot, Daria A. Trojan and Émilia Sforza. Their work appears in journals such as Journal of Virology, Molecular and Cellular Biology, RNA, Archives of Physical Medicine and Rehabilitation and Virology.

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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