Daniel Gendron
Impact in
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
-
- Reproductive tract infections research
Papers in
- Oncology 10
- Polyomavirus and related diseases 9
-
- RNA Research and Splicing 7
- Protein Tyrosine Phosphatases 2
- DNA Repair Mechanisms 2
- DNA and Nucleic Acid Chemistry 1
- Co-authors
- Elvy Lapointe (7 shared papers)Benoı̂t Chabot (7 shared papers)Sherif Abou Elela (7 shared papers)Mathieu Durand (5 shared papers)Jean‐Philippe Brosseau (5 shared papers)Raymund J. Wellinger (3 shared papers)Jean‐François Lucier (5 shared papers)Philippe Thibault (5 shared papers)
In The Last Decade
Daniel Gendron
20 papers receiving 804 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 526
- Microbiology 26
- Cancer Research 53
- Oncology 70
- Genetics 20
Countries citing papers authored by Daniel Gendron
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
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.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 157 | |
| 2 | 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. | 2003 | 142 |
| 3 | 2011 | 106 | |
| 4 | 2011 | 99 | |
| 5 | 2009 | 76 | |
| 6 | 2013 | 56 | |
| 7 | 2020 | 44 | |
| 8 | 2013 | 34 | |
| 9 | 1995 | 23 | |
| 10 | 2006 | 18 | |
| 11 | 1981 | 14 | |
| 12 | 2019 | 10 | |
| 13 | 1996 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 1990 | 7 | |
| 16 | 1986 | 6 | |
| 17 | 1988 | 3 | |
| 18 | 1990 | 3 | |
| 19 | 1995 | 3 | |
| 20 | 1985 | 2 |
About Daniel Gendron
Daniel Gendron is a scholar working on Oncology, Molecular Biology, Microbiology, Physiology and Epidemiology, having authored 21 papers that have together received 821 indexed citations. Recurring topics across this work include Polyomavirus and related diseases (9 papers), RNA Research and Splicing (7 papers), Protein Tyrosine Phosphatases (2 papers), DNA Repair Mechanisms (2 papers), Telomeres, Telomerase, and Senescence (1 paper), Reproductive tract infections research (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Molecular Biology (526 citations), Microbiology (26 citations), Cancer Research (53 citations), Oncology (70 citations) and Genetics (20 citations). Daniel Gendron has collaborated with scholars based in Canada and France. Frequent co-authors include Elvy Lapointe, Benoı̂t Chabot, Sherif Abou Elela, Mathieu Durand, Jean‐Philippe Brosseau, Raymund J. Wellinger, Jean‐François Lucier, Philippe Thibault, Roscoe Klinck and Panagiotis Prinos. Their work appears in journals such as Journal of Virology, Virology, Molecular and Cellular Biology, RNA and Sexually Transmitted Infections.
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.