Arezki Azzi

2.2k citations
46 papers · 1.6k · h-index 19

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 6
    • Biochemical and Molecular Research 3
    • Estrogen and related hormone effects 11

Arezki Azzi

43 papers receiving 1.6k citations

Peers

Arezki Azzi
Comparison fields: 5 of 110
  • Genetics 654
  • Endocrinology, Diabetes and Metabolism 189
  • Clinical Biochemistry 77
  • Molecular Biology 780
  • Physiology 47
Replace Joanne E. Nettleship with:
Joanne E. Nettleship United Kingdom
Ivar Lönnroth Sweden
Hannes Hahne Germany
Petra Lukacik United Kingdom
E. Lucile White United States
Peter Blackburn United States
Lesa J. Beamer United States
Yuzuru Akamatsu Japan
James E. Bray United Kingdom
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Citations per field
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Joanne E. Nettleship · 1×
Citations per year

Countries citing papers authored by Arezki Azzi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Arezki Azzi Line = papers co-authored together Arezki Azzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002497
2 2014137
3 1967114
4 201098
5 200074
6 200460
7 200158
8 201553
9 201652
10 200347
11 200646
12 202145
13 200640
14 199928
15 201127
16 201526
17 200525
18 200619
19 201619
20
Studies on the three-dimensional structure of estrogenic 17 beta-hydroxysteroid dehydrogenase.
199618

About Arezki Azzi

Arezki Azzi is a scholar working on Molecular Biology, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Materials Chemistry, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Hormonal Regulation and Hypertension (8 papers), Enzyme Structure and Function (8 papers), Steroid Chemistry and Biochemistry (6 papers), Immune Response and Inflammation (4 papers), Immunotherapy and Immune Responses (3 papers), Biochemical and Molecular Research (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Genetics (654 citations), Endocrinology, Diabetes and Metabolism (189 citations), Clinical Biochemistry (77 citations), Molecular Biology (780 citations) and Physiology (47 citations). Arezki Azzi has collaborated with scholars based in Canada, Saudi Arabia and China. Frequent co-authors include Michael S. Chapman, Sheng‐Xiang Lin, Thayumanasamy Somasundaram, Joan Hare, Qing Xie, Smita Bhatia, Weishu Bu, Nasir Salam, Joseph Chappell and B. H. Robinson. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, PLoS ONE, Biochemical and Biophysical Research Communications, Proteins Structure Function and Bioinformatics and Journal of Crystal Growth.

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.

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