Mayada Achour
Impact in
- Toxicology top 5%
Papers in
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- Epigenetics and DNA Methylation 5
- Ubiquitin and proteasome pathways 2
- Cell death mechanisms and regulation 2
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- RNA modifications and cancer 2
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- Tea Polyphenols and Effects 2
- Co-authors
- Christian Bronner (8 shared papers)Valérie B. Schini‐Kerth (7 shared papers)Thierry Chataigneau (4 shared papers)Mahmoud Alhosin (6 shared papers)Guy Fuhrmann (3 shared papers)Yoshimi Arima (1 shared paper)Hideyuki Saya (1 shared paper)Philippe Rondé (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Biochemical Pharmacology (1 paper)European Journal of Cancer (1 paper)Journal of Cell Science (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- FranceCanadaUnited States
In The Last Decade
Mayada Achour
10 papers receiving 755 citations
Peers
Comparison fields: 5 of 63
- Toxicology 56
- Applied Microbiology and Biotechnology 20
- Complementary and alternative medicine 72
- Molecular Biology 593
- Cancer Research 56
Countries citing papers authored by Mayada Achour
This map shows the geographic impact of Mayada Achour'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 Mayada Achour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayada Achour more than expected).
Fields of papers citing papers by Mayada Achour
This network shows the impact of papers produced by Mayada Achour. 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 Mayada Achour. The network helps show where Mayada Achour may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayada Achour, 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 | 2011 | 154 | |
| 2 | 2007 | 142 | |
| 3 | 2007 | 141 | |
| 4 | 2009 | 121 | |
| 5 | 2009 | 62 | |
| 6 | 2012 | 59 | |
| 7 | 2010 | 57 | |
| 8 | 2013 | 16 | |
| 9 | 2017 | 9 | |
| 10 | 2012 | 2 |
About Mayada Achour
Mayada Achour is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Surgery and Complementary and alternative medicine, having authored 10 papers that have together received 763 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (5 papers), Ubiquitin and proteasome pathways (2 papers), Cell death mechanisms and regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Tea Polyphenols and Effects (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Toxicology (56 citations), Applied Microbiology and Biotechnology (20 citations), Complementary and alternative medicine (72 citations), Molecular Biology (593 citations) and Cancer Research (56 citations). Mayada Achour has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Christian Bronner, Valérie B. Schini‐Kerth, Thierry Chataigneau, Mahmoud Alhosin, Guy Fuhrmann, Yoshimi Arima, Hideyuki Saya, Philippe Rondé, Tanveer Sharif and Jean Peluso. Their work appears in journals such as Biochemical and Biophysical Research Communications, Biochemical Pharmacology, European Journal of Cancer, Journal of Cell Science and Journal of Biological Chemistry.
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.