Dena Zeraatkar
- Public Health, Environmental and Occupational Health top 2%
- Physiology top 10%
- Ecology top 10%
- Epidemiology
- Pulmonary and Respiratory Medicine
- Co-authors
- Gordon GuyattBradley C. JohnstonRobin W.M. VernooijMałgorzata M BałaClaudia ValliPablo Alonso‐CoelloRegina El DibMi Ah Han
- Topics
- Meta-analysis and systematic reviews (14 papers)Nutritional Studies and Diet (12 papers)Long-Term Effects of COVID-19 (10 papers)
- Cited by
- Public Health, Environmental and Occupational HealthStatistics, Probability and UncertaintyPhysiology
- Journals
- JAMAJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Dena Zeraatkar
93 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Public Health, Environmental and Occupational Health 606
- Physiology 309
- Ecology 269
- Epidemiology 220
- Pulmonary and Respiratory Medicine 191
Countries citing papers authored by Dena Zeraatkar
This map shows the geographic impact of Dena Zeraatkar'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 Dena Zeraatkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dena Zeraatkar more than expected).
Fields of papers citing papers by Dena Zeraatkar
This network shows the impact of papers produced by Dena Zeraatkar. 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 Dena Zeraatkar. The network helps show where Dena Zeraatkar may publish in the future.
Co-authorship network of co-authors of Dena Zeraatkar
This figure shows the co-authorship network connecting the top 25 collaborators of Dena Zeraatkar. A scholar is included among the top collaborators of Dena Zeraatkar 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 Dena Zeraatkar. Dena Zeraatkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 13 | |
| 7 | 14 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 21 | |
| 11 | 14 | |
| 12 | 60 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 29 | |
| 16 | 35 | |
| 17 | 21 | |
| 18 | 21 | |
| 19 | Health-Related Values and Preferences Regarding Meat Consumption | 5 |
| 20 | Effect of Lower Versus Higher Red Meat Intake on Cardiometabolic and Cancer Outcomes | 2 |
About Dena Zeraatkar
Dena Zeraatkar is a scholar working on Statistics, Probability and Uncertainty, Ophthalmology and Psychiatry and Mental health, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (14 papers), Nutritional Studies and Diet (12 papers) and Long-Term Effects of COVID-19 (10 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (606 citations), Statistics, Probability and Uncertainty (89 citations) and Physiology (309 citations). Dena Zeraatkar has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Gordon Guyatt, Bradley C. Johnston, Robin W.M. Vernooij, Małgorzata M Bała, Claudia Valli, Pablo Alonso‐Coello, Regina El Dib, Mi Ah Han, Tyler Pitre and Russell J. de Souza. Their work appears in journals such as JAMA, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.