Mena Farag
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
- Epigenetics and DNA Methylation 2
- Genetics 7
- Chronic Lymphocytic Leukemia Research 7
- Co-authors
- Xavier Leleu (7 shared papers)Irene M. Ghobrial (7 shared papers)Hai T. Ngo (6 shared papers)Aldo M. Roccaro (7 shared papers)Xiaoying Jia (6 shared papers)Judith Runnels (5 shared papers)Anne‐Sophie Moreau (6 shared papers)Antonio Sacco (5 shared papers)
- Journals
- Blood (5 papers)Journal of Huntington s Disease (4 papers)Burns (2 papers)Clinical Cancer Research (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Mena Farag
27 papers receiving 406 citations
Peers
Comparison fields: 5 of 73
- Genetics 203
- Pathology and Forensic Medicine 149
- Hematology 90
- Immunology 103
- Molecular Biology 137
Countries citing papers authored by Mena Farag
This map shows the geographic impact of Mena Farag'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 Mena Farag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mena Farag more than expected).
Fields of papers citing papers by Mena Farag
This network shows the impact of papers produced by Mena Farag. 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 Mena Farag. The network helps show where Mena Farag may publish in the future.
Co-authors
The 25 scholars most cited alongside Mena Farag, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 104 | |
| 2 | 2008 | 92 | |
| 3 | 2008 | 65 | |
| 4 | 2015 | 34 | |
| 5 | 2008 | 19 | |
| 6 | 2015 | 17 | |
| 7 | 2009 | 15 | |
| 8 | 2018 | 11 | |
| 9 | Diagnostic issues affecting the epidemiology of fetal alcohol spectrum disorders. | 2014 | 8 |
| 10 | 2024 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2016 | 5 | |
| 14 | 2022 | 3 | |
| 15 | 2009 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2025 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Mena Farag
Mena Farag is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Neurology and Rheumatology, having authored 28 papers that have together received 414 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (7 papers), Genetic Neurodegenerative Diseases (7 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Phagocytosis and Immune Regulation (2 papers), Gun Ownership and Violence Research (2 papers), Migraine and Headache Studies (2 papers), Epigenetics and DNA Methylation (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Genetics (203 citations), Pathology and Forensic Medicine (149 citations), Hematology (90 citations), Immunology (103 citations) and Molecular Biology (137 citations). Mena Farag has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Xavier Leleu, Irene M. Ghobrial, Hai T. Ngo, Aldo M. Roccaro, Xiaoying Jia, Judith Runnels, Anne‐Sophie Moreau, Antonio Sacco, Feda Azab and Kenneth C. Anderson. Their work appears in journals such as Blood, Journal of Huntington s Disease, Burns, Clinical Cancer Research and Human Molecular Genetics.
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.