Arezki Azzi
Impact in
- Genetics top 2%
- Virus-based gene therapy research
- Estrogen and related hormone effects
-
- Hormonal Regulation and Hypertension
Papers in
-
- Hormonal Regulation and Hypertension 9
- Genetics 13
- Estrogen and related hormone effects 12
- Co-authors
- Sheng‐Xiang Lin (28 shared papers)Michael Stewart Chapman (3 shared papers)Thayumanasamy Somasundaram (2 shared papers)Weishu Bu (1 shared paper)S. Bhatia (1 shared paper)Qing Xie (1 shared paper)Joan T. Hare (1 shared paper)Nasir Salam (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)Proteins Structure Function and Bioinformatics (3 papers)Journal of Crystal Growth (3 papers)The Journal of Steroid Biochemistry and Molecular Biology (3 papers)PLoS ONE (3 papers)
- Partner nations
- CanadaSaudi ArabiaChina
In The Last Decade
Arezki Azzi
45 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Genetics 771
- Endocrinology, Diabetes and Metabolism 284
- Molecular Biology 878
- Clinical Biochemistry 83
- Physiology 50
Countries citing papers authored by Arezki Azzi
This map shows the geographic impact of Arezki Azzi'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 Arezki Azzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arezki Azzi more than expected).
Fields of papers citing papers by Arezki Azzi
This network shows the impact of papers produced by Arezki Azzi. 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 Arezki Azzi. The network helps show where Arezki Azzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Arezki Azzi, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 517 | |
| 2 | 2014 | 151 | |
| 3 | 1996 | 129 | |
| 4 | 1967 | 126 | |
| 5 | 2010 | 102 | |
| 6 | 2000 | 77 | |
| 7 | 2004 | 61 | |
| 8 | 2015 | 60 | |
| 9 | 2001 | 59 | |
| 10 | 2021 | 53 | |
| 11 | 2016 | 53 | |
| 12 | 2003 | 47 | |
| 13 | 2006 | 47 | |
| 14 | 2006 | 46 | |
| 15 | 2011 | 32 | |
| 16 | 1999 | 29 | |
| 17 | 2015 | 28 | |
| 18 | 2005 | 23 | |
| 19 | 2006 | 21 | |
| 20 | 2016 | 20 |
About Arezki Azzi
Arezki Azzi is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology, Immunology and Virology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Hormonal Regulation and Hypertension (9 papers), Enzyme Structure and Function (9 papers), Steroid Chemistry and Biochemistry (6 papers), Immune Response and Inflammation (4 papers), Biochemical and Molecular Research (3 papers), HIV Research and Treatment (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Genetics (771 citations), Endocrinology, Diabetes and Metabolism (284 citations), Molecular Biology (878 citations), Clinical Biochemistry (83 citations) and Physiology (50 citations). Arezki Azzi has collaborated with scholars based in Canada, Saudi Arabia and China. Frequent co-authors include Sheng‐Xiang Lin, Michael Stewart Chapman, Thayumanasamy Somasundaram, Weishu Bu, S. Bhatia, Qing Xie, Joan T. Hare, Nasir Salam, B. H. B. Robinson and Joseph Chappell. Their work appears in journals such as Biochemical and Biophysical Research Communications, Proteins Structure Function and Bioinformatics, Journal of Crystal Growth, The Journal of Steroid Biochemistry and Molecular Biology and PLoS ONE.
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.