Anouar Hafiane
- Surgery top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cancer Research top 5%
- Co-authors
- Jacques GenestStella S. DaskalopoulouLarbi KrimbouIsabelle L. RuelDana BaileyKarina GasbarrinoAdel SchwertaniKhalid Al‐Rasadi
- Topics
- Lipoproteins and Cardiovascular Health (22 papers)Cholesterol and Lipid Metabolism (20 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers)
- Journals
- Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesItaly
In The Last Decade
Anouar Hafiane
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Surgery 821
- Endocrinology, Diabetes and Metabolism 509
- Molecular Biology 481
- Cardiology and Cardiovascular Medicine 345
- Cancer Research 345
Countries citing papers authored by Anouar Hafiane
This map shows the geographic impact of Anouar Hafiane'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 Anouar Hafiane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anouar Hafiane more than expected).
Fields of papers citing papers by Anouar Hafiane
This network shows the impact of papers produced by Anouar Hafiane. 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 Anouar Hafiane. The network helps show where Anouar Hafiane may publish in the future.
Co-authorship network of co-authors of Anouar Hafiane
This figure shows the co-authorship network connecting the top 25 collaborators of Anouar Hafiane. A scholar is included among the top collaborators of Anouar Hafiane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Anouar Hafiane. Anouar Hafiane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 26 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 88 | |
| 8 | 14 | |
| 9 | 79 | |
| 10 | 48 | |
| 11 | 66 | |
| 12 | 40 | |
| 13 | 13 | |
| 14 | 13 | |
| 15 | 13 | |
| 16 | 17 | |
| 17 | 20 | |
| 18 | 181 | |
| 19 | 10 | |
| 20 | 4 |
About Anouar Hafiane
Anouar Hafiane is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Surgery, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Cholesterol and Lipid Metabolism (20 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (509 citations), Cancer Research (345 citations) and Surgery (821 citations). Anouar Hafiane has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Jacques Genest, Stella S. Daskalopoulou, Larbi Krimbou, Isabelle L. Ruel, Dana Bailey, Karina Gasbarrino, Adel Schwertani, Khalid Al‐Rasadi, Zuhier Awan and Jan O. Johansson. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.
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.