Neda Zafari
- Endocrinology, Diabetes and Metabolism top 10%
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Public Health, Environmental and Occupational Health
- Nephrology top 10%
- Co-authors
- Farzad HadaeghFereidoun AziziMojtaba LotfalianyDavood KhaliliElif I. EkinciRichard J. MacIsaacNiloufar TorkamaniMohammad Alì Mansournia
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers)Chronic Kidney Disease and Diabetes (4 papers)Dialysis and Renal Disease Management (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
In The Last Decade
Neda Zafari
17 papers receiving 364 citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 131
- Cardiology and Cardiovascular Medicine 60
- Molecular Biology 54
- Public Health, Environmental and Occupational Health 53
- Nephrology 52
Countries citing papers authored by Neda Zafari
This map shows the geographic impact of Neda Zafari'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 Neda Zafari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neda Zafari more than expected).
Fields of papers citing papers by Neda Zafari
This network shows the impact of papers produced by Neda Zafari. 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 Neda Zafari. The network helps show where Neda Zafari may publish in the future.
Co-authorship network of co-authors of Neda Zafari
This figure shows the co-authorship network connecting the top 25 collaborators of Neda Zafari. A scholar is included among the top collaborators of Neda Zafari 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 Neda Zafari. Neda Zafari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 30 | |
| 2 | 5 | |
| 3 | 46 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 54 | |
| 7 | 15 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 17 | |
| 12 | 28 | |
| 13 | 2 | |
| 14 | Trends in anthropometric indexes, blood pressure, smoking and lipids over a decade in diabetic and non-diabetic populations: Tehran lipid and glucose study | 4 |
| 15 | 45 | |
| 16 | 41 | |
| 17 | 35 |
About Neda Zafari
Neda Zafari is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Pharmacy, having authored 17 papers that have together received 367 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Dialysis and Renal Disease Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (131 citations), Nephrology (52 citations) and Cardiology and Cardiovascular Medicine (60 citations). Neda Zafari has collaborated with scholars based in Australia, Iran and Thailand. Frequent co-authors include Farzad Hadaegh, Fereidoun Azizi, Mojtaba Lotfaliany, Davood Khalili, Elif I. Ekinci, Richard J. MacIsaac, Niloufar Torkamani, Mohammad Alì Mansournia, Parvin Mirmiran and Navid Saadat. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.