Neda Zafari

513 total citations
17 papers, 367 citations indexed

About

Neda Zafari is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Neda Zafari has authored 17 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Nephrology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Neda Zafari's work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Dialysis and Renal Disease Management (3 papers). Neda Zafari is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Chronic Kidney Disease and Diabetes (4 papers) and Dialysis and Renal Disease Management (3 papers). Neda Zafari collaborates with scholars based in Australia, Iran and Thailand. Neda Zafari's co-authors include Fereidoun Azizi, Farzad Hadaegh, Davood Khalili, Mojtaba Lotfaliany, Elif I. Ekinci, Richard J. MacIsaac, Niloufar Torkamani, Mohammad Alì Mansournia, Parvin Mirmiran and Melinda T. Coughlan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Neda Zafari

17 papers receiving 364 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neda Zafari Australia 11 131 60 54 53 52 17 367
Yingying Jiang China 9 33 0.3× 63 1.1× 59 1.1× 56 1.1× 14 0.3× 50 344
Jianlu Bi China 10 36 0.3× 58 1.0× 87 1.6× 33 0.6× 56 1.1× 16 329
Gurpreet Johal United States 10 65 0.5× 108 1.8× 30 0.6× 20 0.4× 23 0.4× 30 274
Ziyi Li China 11 33 0.3× 25 0.4× 80 1.5× 46 0.9× 12 0.2× 41 375
Jiao Pei China 12 29 0.2× 12 0.2× 48 0.9× 29 0.5× 28 0.5× 42 379
Mark Reinhard Denmark 9 85 0.6× 39 0.7× 85 1.6× 7 0.1× 55 1.1× 25 376
Mohsen Mazidi China 5 26 0.2× 26 0.4× 59 1.1× 31 0.6× 59 1.1× 6 202
Arezou Dilmaghani‐Marand Iran 9 73 0.6× 29 0.5× 48 0.9× 93 1.8× 11 0.2× 23 353

Countries citing papers authored by Neda Zafari

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

17 of 17 papers shown
1.
Zafari, Neda, et al.. (2022). Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease. Diabetes/Metabolism Research and Reviews. 38(6). e3556–e3556. 30 indexed citations
2.
Koye, Digsu N., et al.. (2022). Efficacy of Flash Glucose Monitoring in Type 1 and Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials. SHILAP Revista de lepidopterología. 3. 849725–849725. 5 indexed citations
3.
Andrikopoulos, Sofianos, Richard J. MacIsaac, Laura K. Mackay, et al.. (2021). Role of the adaptive immune system in diabetic kidney disease. Journal of Diabetes Investigation. 13(2). 213–226. 46 indexed citations
4.
Lotfaliany, Mojtaba, Fereidoun Azizi, Farzad Hadaegh, et al.. (2020). Long-term effectiveness of a lifestyle intervention on the prevention of type 2 diabetes in a middle-income country. Scientific Reports. 10(1). 14173–14173. 54 indexed citations
5.
Zafari, Neda, Leonid Churilov, Mojtaba Lotfaliany, et al.. (2020). Evaluation of the diagnostic performance of the creatinine‐based Chronic Kidney Disease Epidemiology Collaboration equation in people with diabetes: A systematic review. Diabetic Medicine. 38(1). e14391–e14391. 8 indexed citations
6.
Zafari, Neda, Mojtaba Lotfaliany, Graeme O’Keefe, et al.. (2020). Performance of 4 Creatinine-based Equations in Assessing Glomerular Filtration Rate in Adults with Diabetes. The Journal of Clinical Endocrinology & Metabolism. 106(1). e61–e73. 7 indexed citations
7.
Zafari, Neda, et al.. (2020). Change in emotional eating after bariatric surgery: systematic review and meta-analysis. BJS Open. 4(6). 995–1014. 15 indexed citations
8.
Khalili, Davood, Samaneh Asgari, Mojtaba Lotfaliany, et al.. (2019). Long-Term Effectiveness of a Lifestyle Intervention: A Pragmatic Community Trial to Prevent Metabolic Syndrome. American Journal of Preventive Medicine. 56(3). 437–446. 11 indexed citations
9.
10.
Zafari, Neda, Mojtaba Lotfaliany, Mohammad Alì Mansournia, et al.. (2018). Optimal cut-points of different anthropometric indices and their joint effect in prediction of type 2 diabetes: results of a cohort study. BMC Public Health. 18(1). 691–691. 17 indexed citations
11.
Lotfaliany, Mojtaba, Samaneh Akbarpour, Neda Zafari, et al.. (2018). World Bank Income Group, Health Expenditure or Cardiometabolic Risk Factors? A Further Explanation of the Wide Gap in Cardiometabolic Mortality Between Worldwide Countries: An Ecological Study. International Journal of Endocrinology and Metabolism. 16(3). e59946–e59946. 5 indexed citations
12.
Zafari, Neda, et al.. (2017). Impact Of Hypertension versus Diabetes on Cardiovascular and All-cause Mortality in Iranian Older Adults: Results of 14 Years of Follow-up. Scientific Reports. 7(1). 14220–14220. 28 indexed citations
13.
Zafari, Neda, et al.. (2016). Autoimmune Hepatitis as an Initial Presentation of SLE. Archives of Pediatric Infectious Diseases. 4(3). 2 indexed citations
14.
Akbarpour, Samaneh, Mojtaba Lotfaliany, Neda Zafari, et al.. (2015). Trends in anthropometric indexes, blood pressure, smoking and lipids over a decade in diabetic and non-diabetic populations: Tehran lipid and glucose study. SHILAP Revista de lepidopterología. 4 indexed citations
15.
Hadaegh, Farzad, Arash Derakhshan, Neda Zafari, et al.. (2015). Pre‐diabetes tsunami: incidence rates and risk factors of pre‐diabetes and its different phenotypes over 9 years of follow‐up. Diabetic Medicine. 34(1). 69–78. 45 indexed citations
16.
Irannejad, Hamid, Hamid Nadri, Nima Naderi, et al.. (2014). Anticonvulsant activity of 1,2,4-triazine derivatives with pyridyl side chain: synthesis, biological, and computational study. Medicinal Chemistry Research. 24(6). 2505–2513. 35 indexed citations
17.
Akbarpour, Samaneh, Mojtaba Lotfaliany, Neda Zafari, et al.. (2014). Trends in Cardiovascular Disease Risk Factors in People with and without Diabetes Mellitus: A Middle Eastern Cohort Study. PLoS ONE. 9(12). e112639–e112639. 41 indexed citations

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.

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