William S. Azar
Impact in
-
- Artificial Intelligence in Healthcare and Education
-
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
-
- Chronic Kidney Disease and Diabetes 2
-
- Artificial Intelligence in Healthcare and Education 1
- Co-authors
- Assaad Antoine Eid (8 shared papers)Rachel Njeim (7 shared papers)Sami T. Azar (3 shared papers)Nadim S. Azar (2 shared papers)Mazen J. El Sayed (1 shared paper)Hilda E. Ghadieh (4 shared papers)Batoul Dia (2 shared papers)Hani Tamim (1 shared paper)
- Journals
- Pharmaceutics (2 papers)Ophthalmology (1 paper)Journal of Molecular Endocrinology (1 paper)Urologic Oncology Seminars and Original Investigations (1 paper)Antioxidants and Redox Signaling (1 paper)
- Partner nations
- United StatesLebanonUkraine
In The Last Decade
William S. Azar
14 papers receiving 263 citations
Peers
Comparison fields: 5 of 46
- Health Informatics 6
- Immunology 40
- Nephrology 15
- Radiology, Nuclear Medicine and Imaging 26
- Infectious Diseases 25
Countries citing papers authored by William S. Azar
This map shows the geographic impact of William S. Azar'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 William S. Azar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William S. Azar more than expected).
Fields of papers citing papers by William S. Azar
This network shows the impact of papers produced by William S. Azar. 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 William S. Azar. The network helps show where William S. Azar may publish in the future.
Co-authors
The 25 scholars most cited alongside William S. Azar, 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 | 2020 | 90 | |
| 2 | 2022 | 59 | |
| 3 | 2020 | 56 | |
| 4 | 2023 | 16 | |
| 5 | 2021 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 6 | |
| 9 | 2024 | 4 | |
| 10 | 2025 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2024 | 0 |
About William S. Azar
William S. Azar is a scholar working on Nephrology, Health Informatics, Pulmonary and Respiratory Medicine, Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 16 papers that have together received 266 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Eicosanoids and Hypertension Pharmacology (1 paper), Artificial Intelligence in Healthcare and Education (1 paper), COVID-19 Clinical Research Studies (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Retinal Imaging and Analysis (1 paper) and Cardiac Fibrosis and Remodeling (1 paper). The work is most often cited by research in Health Informatics (6 citations), Immunology (40 citations), Nephrology (15 citations), Radiology, Nuclear Medicine and Imaging (26 citations) and Infectious Diseases (25 citations). William S. Azar has collaborated with scholars based in United States, Lebanon and Ukraine. Frequent co-authors include Assaad Antoine Eid, Rachel Njeim, Sami T. Azar, Nadim S. Azar, Mazen J. El Sayed, Hilda E. Ghadieh, Batoul Dia, Hani Tamim, Sandeep Gurram and Fuad N. Ziyadeh. Their work appears in journals such as Pharmaceutics, Ophthalmology, Journal of Molecular Endocrinology, Urologic Oncology Seminars and Original Investigations and Antioxidants and Redox Signaling.
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.