Karim Azer
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
-
- Computational Drug Discovery Methods
Papers in
-
- Gene Regulatory Network Analysis 5
- Receptor Mechanisms and Signaling 3
- Surgery 6
- Coronary Interventions and Diagnostics 4
- Co-authors
- Charles S. Peskin (1 shared paper)Jeffrey S. Barrett (11 shared papers)Chanchala Kaddi (9 shared papers)Luca Marchetti (6 shared papers)Benedetto Piccoli (5 shared papers)Brian Corrigan (1 shared paper)Susana R. Neves (5 shared papers)Sean T. McQuade (4 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (3 papers)Molecular Genetics and Metabolism (2 papers)Mathematical Biosciences (1 paper)The Journal of Pediatrics (1 paper)Assay and Drug Development Technologies (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Karim Azer
32 papers receiving 341 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 36
- Computational Theory and Mathematics 56
- Biophysics 20
- Cardiology and Cardiovascular Medicine 57
- Neurology 38
Countries citing papers authored by Karim Azer
This map shows the geographic impact of Karim Azer'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 Karim Azer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karim Azer more than expected).
Fields of papers citing papers by Karim Azer
This network shows the impact of papers produced by Karim Azer. 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 Karim Azer. The network helps show where Karim Azer may publish in the future.
Co-authors
The 25 scholars most cited alongside Karim Azer, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2007 | 60 | |
| 3 | 2018 | 30 | |
| 4 | 2022 | 29 | |
| 5 | 2023 | 23 | |
| 6 | 2020 | 21 | |
| 7 | 2011 | 17 | |
| 8 | 2017 | 15 | |
| 9 | 2016 | 11 | |
| 10 | 2022 | 10 | |
| 11 | 2017 | 10 | |
| 12 | 2006 | 9 | |
| 13 | 2005 | 9 | |
| 14 | 2018 | 8 | |
| 15 | 2024 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 6 | |
| 19 | 2020 | 4 | |
| 20 | 2023 | 2 |
About Karim Azer
Karim Azer is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Computational Theory and Mathematics and Neurology, having authored 33 papers that have together received 364 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (5 papers), Coronary Interventions and Diagnostics (4 papers), Computational Drug Discovery Methods (4 papers), Receptor Mechanisms and Signaling (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Lysosomal Storage Disorders Research (3 papers), Pharmaceutical studies and practices (3 papers) and Long-Term Effects of COVID-19 (3 papers). The work is most often cited by research in Statistics and Probability (36 citations), Computational Theory and Mathematics (56 citations), Biophysics (20 citations), Cardiology and Cardiovascular Medicine (57 citations) and Neurology (38 citations). Karim Azer has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Charles S. Peskin, Jeffrey S. Barrett, Chanchala Kaddi, Luca Marchetti, Benedetto Piccoli, Brian Corrigan, Susana R. Neves, Sean T. McQuade, Silvia Parolo and Jane P. F. Bai. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Molecular Genetics and Metabolism, Mathematical Biosciences, The Journal of Pediatrics and Assay and Drug Development Technologies.
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.