Goodarz Danaei

43.8k total citations
8 papers, 332 citations indexed

About

Goodarz Danaei is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Epidemiology. According to data from OpenAlex, Goodarz Danaei has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Epidemiology. Recurrent topics in Goodarz Danaei's work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Obesity, Physical Activity, Diet (2 papers) and Nutritional Studies and Diet (2 papers). Goodarz Danaei is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Obesity, Physical Activity, Diet (2 papers) and Nutritional Studies and Diet (2 papers). Goodarz Danaei collaborates with scholars based in United States, United Kingdom and Iran. Goodarz Danaei's co-authors include Yuan Lu, Christopher Paciorek, Mariel M. Finucane, Mayuree Rao, Majid Ezzati, Melanie Cowan, Gretchen A Stevens, Gitanjali M Singh, Leanne M Riley and John K. Lin and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Clinical Epidemiology.

In The Last Decade

Goodarz Danaei

6 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Goodarz Danaei United States	4	131	116	53	49	44	8	332
Tran Quoc Bao Vietnam	10	136 1.0×	83 0.7×	67 1.3×	49 1.0×	50 1.1×	29	335
Solomon Choma South Africa	12	120 0.9×	76 0.7×	70 1.3×	50 1.0×	93 2.1×	26	384
Jacqueline Ponzo Uruguay	11	133 1.0×	100 0.9×	79 1.5×	98 2.0×	66 1.5×	25	390
Nora Mores Chile	9	124 0.9×	69 0.6×	67 1.3×	70 1.4×	50 1.1×	14	316
Pamela M Pelizzari United States	4	158 1.2×	167 1.4×	138 2.6×	49 1.0×	74 1.7×	5	469
Gert van Montfrans Netherlands	6	79 0.6×	138 1.2×	34 0.6×	35 0.7×	45 1.0×	12	300
Kiran Gaur India	9	75 0.6×	155 1.3×	70 1.3×	38 0.8×	63 1.4×	18	365
K Srinath Reddy India	2	95 0.7×	112 1.0×	88 1.7×	40 0.8×	111 2.5×	2	402
Gigliola Alberti Chile	9	120 0.9×	84 0.7×	149 2.8×	45 0.9×	37 0.8×	19	406
Christine Linhart Australia	12	88 0.7×	66 0.6×	100 1.9×	60 1.2×	103 2.3×	27	337

Countries citing papers authored by Goodarz Danaei

Since Specialization

Citations

This map shows the geographic impact of Goodarz Danaei'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 Goodarz Danaei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goodarz Danaei more than expected).

Fields of papers citing papers by Goodarz Danaei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Goodarz Danaei. 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 Goodarz Danaei. The network helps show where Goodarz Danaei may publish in the future.

Co-authorship network of co-authors of Goodarz Danaei

This figure shows the co-authorship network connecting the top 25 collaborators of Goodarz Danaei. A scholar is included among the top collaborators of Goodarz Danaei 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 Goodarz Danaei. Goodarz Danaei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Yaseri, Mehdi, Saharnaz Nedjat, Mohammad Alì Mansournia, et al.. (2025). Performance of the revised World Health Organization cardiovascular disease risk prediction models for the Middle East and North Africa: a validation study in the Tehran Lipid and Glucose Study. Journal of Clinical Epidemiology. 182. 111736–111736. 1 indexed citations

2.

Rao, Shishir, Yikuan Li, Mohammad Mamouei, et al.. (2025). Refined selection of individuals for preventive cardiovascular disease treatment with a transformer-based risk model. The Lancet Digital Health. 7(6). 100873–100873. 1 indexed citations

3.

Danaei, Goodarz, et al.. (2025). Quantifying the population-level impact of insomnia on dementia among older adults in the United States. The Journals of Gerontology Series A. 81(3).

4.

Danaei, Goodarz, et al.. (2025). Cancer Incidence in Kabul, Afghanistan: The First Report From the Population‐Based Cancer Registry. Cancer Medicine. 14(8). e70844–e70844.

5.

Li, Yanping, Dong D. Wang, Sylvia H. Ley, et al.. (2016). Potential Impact of Time Trend of Life-Style Factors on Cardiovascular Disease Burden in China. Journal of the American College of Cardiology. 68(8). 818–833. 74 indexed citations

6.

Lu, Yuan, Kaveh Hajifathalian, Eric B. Rimm, Majid Ezzati, & Goodarz Danaei. (2015). Mediators of the Effect of Body Mass Index on Coronary Heart Disease. Epidemiology. 26(2). 153–162. 32 indexed citations

7.

Finucane, Mariel M., Christopher Paciorek, Goodarz Danaei, & Majid Ezzati. (2014). Bayesian Estimation of Population-Level Trends in Measures of Health Status. Statistical Science. 29(1). 31 indexed citations

8.

Danaei, Goodarz, Gitanjali M Singh, Christopher Paciorek, et al.. (2013). The Global Cardiovascular Risk Transition. Circulation. 127(14). 1493–1502. 193 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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