Christophe Denoyelle
- Cancer Research top 2%
- MicroRNA in disease regulation 12
- Cancer-related molecular mechanisms research 12
- Aging top 5%
- Oncology top 2%
- Molecular Biology top 5%
- Circular RNAs in diseases 7
- RNA Interference and Gene Delivery 5
- Cell death mechanisms and regulation 5
- RNA Research and Splicing 4
- Cell Biology top 2%
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- Meat and Animal Product Quality 11
- Animal Nutrition and Physiology 4
- Co-authors
- Marı́a S. SoengasJerry W. ShayDaniel S. PeeperWolter J. MooiChantal M.A.M. van der HorstChrysiis MichaloglouLiesbeth C.W. VredeveldThomas Kuilman
- Cited by
- Cancer ResearchAgingOncology
- Journals
- Meat Science (3 papers)Journal of Biological Chemistry (3 papers)Molecular Cancer Therapeutics (3 papers)
- Partner nations
- FranceCanadaLuxembourg
In The Last Decade
Christophe Denoyelle
50 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 941
- Aging 81
- Oncology 1.0k
- Molecular Biology 2.2k
- Cell Biology 499
Countries citing papers authored by Christophe Denoyelle
This map shows the geographic impact of Christophe Denoyelle'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 Christophe Denoyelle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christophe Denoyelle more than expected).
Fields of papers citing papers by Christophe Denoyelle
This network shows the impact of papers produced by Christophe Denoyelle. 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 Christophe Denoyelle. The network helps show where Christophe Denoyelle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christophe Denoyelle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2023 | 66 | |
| 3 | 2023 | 1 | |
| 4 | 2021 | 32 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 11 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 50 | |
| 9 | 2017 | 5 | |
| 10 | 2010 | 58 | |
| 11 | 2010 | 14 | |
| 12 | 2009 | 66 | |
| 13 | 2009 | 86 | |
| 14 | 2007 | 68 | |
| 15 | 2006 | 269 | |
| 16 | BRAFE600-associated senescence-like cell cycle arrest of human naevibreakdown → | 2005 | 1604 |
| 17 | 2005 | 38 | |
| 18 | 2003 | 20 | |
| 19 | 2003 | 27 | |
| 20 | 2001 | 26 |
About Christophe Denoyelle
Christophe Denoyelle is a scholar working on Cancer Research, Animal Science and Zoology and Tourism, Leisure and Hospitality Management, having authored 50 papers that have together received 3.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (12 papers), Cancer-related molecular mechanisms research (12 papers), Meat and Animal Product Quality (11 papers), Circular RNAs in diseases (7 papers), RNA Interference and Gene Delivery (5 papers), Cell death mechanisms and regulation (5 papers), Animal Nutrition and Physiology (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (941 citations), Aging (81 citations) and Oncology (1.0k citations). Christophe Denoyelle has collaborated with scholars based in France, Canada and Luxembourg. Frequent co-authors include Marı́a S. Soengas, Jerry W. Shay, Daniel S. Peeper, Wolter J. Mooi, Chantal M.A.M. van der Horst, Chrysiis Michaloglou, Liesbeth C.W. Vredeveld, Thomas Kuilman, Donné Majoor and Laurent Poulain. Their work appears in journals such as Meat Science, Journal of Biological Chemistry, Molecular Cancer Therapeutics, Journal of Animal Science and Carcinogenesis.
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.