Abdallah Al-Hakim
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Molecular Biology top 5%
- DNA Repair Mechanisms
- Ubiquitin and proteasome pathways
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
Papers in
-
- Ubiquitin and proteasome pathways 6
- DNA Repair Mechanisms 4
- Receptor Mechanisms and Signaling 2
- 14-3-3 protein interactions 1
- Oncology 3
- Cancer-related Molecular Pathways 2
- Co-authors
- Daniel Durocher (5 shared papers)Stephanie Panier (3 shared papers)Shinichiro Nakada (2 shared papers)Lara O’Donnell (2 shared papers)Mária Deák (2 shared papers)Dario R. Alessi (2 shared papers)Laurence Pelletier (2 shared papers)Anne‐Claude Gingras (3 shared papers)
- Journals
- Molecular and Cellular Endocrinology (2 papers)Molecular Cell (1 paper)Journal of Cell Science (1 paper)Nature (1 paper)Cell (1 paper)
- Partner nations
- CanadaUnited KingdomNetherlands
In The Last Decade
Abdallah Al-Hakim
9 papers receiving 1.5k citations
Abdallah Al-Hakim's Hit Papers
Peers
Comparison fields: 5 of 69
- Oncology 543
- Molecular Biology 1.4k
- Cell Biology 196
- Cancer Research 153
- Genetics 176
Countries citing papers authored by Abdallah Al-Hakim
This map shows the geographic impact of Abdallah Al-Hakim'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 Abdallah Al-Hakim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdallah Al-Hakim more than expected).
Fields of papers citing papers by Abdallah Al-Hakim
This network shows the impact of papers produced by Abdallah Al-Hakim. 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 Abdallah Al-Hakim. The network helps show where Abdallah Al-Hakim may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdallah Al-Hakim, 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 | The RIDDLE Syndrome Protein Mediates a Ubiquitin-Dependent Signaling Cascade at Sites of DNA Damage Hit paper breakdown → | 2009 | 601 |
| 2 | 2010 | 297 | |
| 3 | 2008 | 186 | |
| 4 | 2010 | 176 | |
| 5 | 2016 | 117 | |
| 6 | 2005 | 96 | |
| 7 | 2012 | 55 | |
| 8 | 2003 | 9 | |
| 9 | 2004 | 6 |
About Abdallah Al-Hakim
Abdallah Al-Hakim is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (2 papers), Receptor Mechanisms and Signaling (2 papers), Neuropeptides and Animal Physiology (2 papers), Hormonal Regulation and Hypertension (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Oncology (543 citations), Molecular Biology (1.4k citations), Cell Biology (196 citations), Cancer Research (153 citations) and Genetics (176 citations). Abdallah Al-Hakim has collaborated with scholars based in Canada, United Kingdom and Netherlands. Frequent co-authors include Daniel Durocher, Stephanie Panier, Shinichiro Nakada, Lara O’Donnell, Mária Deák, Dario R. Alessi, Laurence Pelletier, Anne‐Claude Gingras, Mark Peggie and Anna Zagórska. Their work appears in journals such as Molecular and Cellular Endocrinology, Molecular Cell, Journal of Cell Science, Nature and Cell.
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.