Fadi El‐Atat
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Epidemiology
- Surgery
- Co-authors
- James R. SowersSamy I. McFarlaneSameer StasAshish AnejaLuther T. ClarkJonathan Pena CastroJ. Thomas BiggerJohn Shin
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Blood Pressure and Hypertension Studies (4 papers)Diet and metabolism studies (3 papers)
- Journals
- Journal of the American Society of NephrologyEndocrinology and Metabolism Clinics of North AmericaCurrent Diabetes Reports
- Partner nations
- United States
In The Last Decade
Fadi El‐Atat
14 papers receiving 575 citations
Peers
Comparison fields: 5 of 81
- Endocrinology, Diabetes and Metabolism 259
- Cardiology and Cardiovascular Medicine 254
- Physiology 99
- Epidemiology 84
- Surgery 83
Countries citing papers authored by Fadi El‐Atat
This map shows the geographic impact of Fadi El‐Atat'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 Fadi El‐Atat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadi El‐Atat more than expected).
Fields of papers citing papers by Fadi El‐Atat
This network shows the impact of papers produced by Fadi El‐Atat. 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 Fadi El‐Atat. The network helps show where Fadi El‐Atat may publish in the future.
Co-authorship network of co-authors of Fadi El‐Atat
This figure shows the co-authorship network connecting the top 25 collaborators of Fadi El‐Atat. A scholar is included among the top collaborators of Fadi El‐Atat 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 Fadi El‐Atat. Fadi El‐Atat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A randomized pilot trial for aggressive therapeutic approaches in aspirin-resistant patients undergoing percutaneous coronary intervention. | 5 |
| 2 | 52 | |
| 3 | 45 | |
| 4 | 5 | |
| 5 | 7 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 160 | |
| 9 | 28 | |
| 10 | 39 | |
| 11 | 93 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 118 | |
| 15 | 58 | |
| 16 | 4 |
About Fadi El‐Atat
Fadi El‐Atat is a scholar working on Endocrinology, Diabetes and Metabolism, Pharmacy and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 626 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Blood Pressure and Hypertension Studies (4 papers) and Diet and metabolism studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (259 citations), Cardiology and Cardiovascular Medicine (254 citations) and Nephrology (58 citations). Fadi El‐Atat has collaborated with scholars based in United States. Frequent co-authors include James R. Sowers, Samy I. McFarlane, Sameer Stas, Ashish Aneja, Luther T. Clark, Jonathan Pena Castro, J. Thomas Bigger, John Shin, George L. Bakris and Nicole Simon. Their work appears in journals such as Journal of the American Society of Nephrology, Endocrinology and Metabolism Clinics of North America and Current Diabetes Reports.
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.