Shahnaz Shahinfar
- Cardiology and Cardiovascular Medicine top 0.2%
- Nephrology top 0.05%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Pulmonary and Respiratory Medicine top 2%
- Molecular Biology top 10%
- Co-authors
- Dick de ZeeuwBarry M. BrennerMark E. CooperWilliam F. KeaneGiuseppe RemuzziWilliam E. MitchHans‐Henrik ParvingSteven Snapinn
- Topics
- Blood Pressure and Hypertension Studies (39 papers)Chronic Kidney Disease and Diabetes (32 papers)Diabetes Treatment and Management (13 papers)
- Partner nations
- United StatesNetherlandsAustralia
In The Last Decade
Shahnaz Shahinfar
53 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Cardiology and Cardiovascular Medicine 6.1k
- Nephrology 5.2k
- Endocrinology, Diabetes and Metabolism 4.3k
- Pulmonary and Respiratory Medicine 1.2k
- Molecular Biology 925
Countries citing papers authored by Shahnaz Shahinfar
This map shows the geographic impact of Shahnaz Shahinfar'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 Shahnaz Shahinfar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shahnaz Shahinfar more than expected).
Fields of papers citing papers by Shahnaz Shahinfar
This network shows the impact of papers produced by Shahnaz Shahinfar. 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 Shahnaz Shahinfar. The network helps show where Shahnaz Shahinfar may publish in the future.
Co-authorship network of co-authors of Shahnaz Shahinfar
This figure shows the co-authorship network connecting the top 25 collaborators of Shahnaz Shahinfar. A scholar is included among the top collaborators of Shahnaz Shahinfar 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 Shahnaz Shahinfar. Shahnaz Shahinfar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 16 | |
| 3 | 27 | |
| 4 | 243 | |
| 5 | 162 | |
| 6 | 130 | |
| 7 | 70 | |
| 8 | 24 | |
| 9 | 6 | |
| 10 | 32 | |
| 11 | 172 | |
| 12 | 12 | |
| 13 | 92 | |
| 14 | 17 | |
| 15 | 27 | |
| 16 | 28 | |
| 17 | 292 | |
| 18 | 39 | |
| 19 | 52 | |
| 20 | 9 |
About Shahnaz Shahinfar
Shahnaz Shahinfar is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 11.0k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (39 papers), Chronic Kidney Disease and Diabetes (32 papers) and Diabetes Treatment and Management (13 papers). The work is most often cited by research in Nephrology (5.2k citations), Cardiology and Cardiovascular Medicine (6.1k citations) and Endocrinology, Diabetes and Metabolism (4.3k citations). Shahnaz Shahinfar has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Dick de Zeeuw, Barry M. Brenner, Mark E. Cooper, William F. Keane, Giuseppe Remuzzi, William E. Mitch, Hans‐Henrik Parving, Steven Snapinn, Zhongxin Zhang and Robert D. Toto. Their work appears in journals such as New England Journal of Medicine, Circulation and Annals of Internal Medicine.
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.