Shapur Naimi
- Cardiology and Cardiovascular Medicine top 10%
- Pathology and Forensic Medicine top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Boaz AvitallHerbert J. LevineSamuel ProgerRobert H. GoldsteinJames LandoDavid W. BrownAli H. MokdadWayne H. Giles
- Topics
- Cardiac electrophysiology and arrhythmias (8 papers)Cardiac Arrhythmias and Treatments (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Partner nations
- United States
In The Last Decade
Shapur Naimi
23 papers receiving 500 citations
Peers
Comparison fields: 5 of 86
- Cardiology and Cardiovascular Medicine 221
- Pathology and Forensic Medicine 202
- Epidemiology 167
- Endocrinology, Diabetes and Metabolism 62
- Radiology, Nuclear Medicine and Imaging 56
Countries citing papers authored by Shapur Naimi
This map shows the geographic impact of Shapur Naimi'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 Shapur Naimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shapur Naimi more than expected).
Fields of papers citing papers by Shapur Naimi
This network shows the impact of papers produced by Shapur Naimi. 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 Shapur Naimi. The network helps show where Shapur Naimi may publish in the future.
Co-authorship network of co-authors of Shapur Naimi
This figure shows the co-authorship network connecting the top 25 collaborators of Shapur Naimi. A scholar is included among the top collaborators of Shapur Naimi 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 Shapur Naimi. Shapur Naimi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 216 | |
| 2 | 13 | |
| 3 | Comparing Complex Diagnoses: A Formative Evaluation of the Heart Disease Program. | 2 |
| 4 | 16 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 51 | |
| 13 | 78 | |
| 14 | 5 | |
| 15 | 5 | |
| 16 | 43 | |
| 17 | 53 | |
| 18 | 4 | |
| 19 | 1 | |
| 20 | 16 |
About Shapur Naimi
Shapur Naimi is a scholar working on Cardiology and Cardiovascular Medicine, Health Information Management and Endocrinology, Diabetes and Metabolism, having authored 23 papers that have together received 570 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Cardiac Arrhythmias and Treatments (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (202 citations), Cardiology and Cardiovascular Medicine (221 citations) and Epidemiology (167 citations). Shapur Naimi has collaborated with scholars based in United States. Frequent co-authors include Boaz Avitall, Herbert J. Levine, Samuel Proger, Robert H. Goldstein, James Lando, David W. Brown, Ali H. Mokdad, Wayne H. Giles, Mary K. Serdula and Donna F. Stroup. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.