Dena Zeraatkar

6.4k citations
101 papers · 1.8k indexed · 2 hit papers · h-index 22

Dena Zeraatkar

93 papers receiving 1.8k citations

Hit Papers

The comparative effectiveness of mig...63201920262021202350100150200

Peers

Dena Zeraatkar
Comparison fields: 5 of 133
  • Public Health, Environmental and Occupational Health 606
  • Statistics, Probability and Uncertainty 89
  • Physiology 309
  • Hepatology 86
  • Ecology 269
Replace Yaping Chang with:
Yaping Chang Canada
J. Scott Parrott United States
G. Michael Allan Canada
Nai Ming Lai Malaysia
Kim A. Williams United States
Lauren E. Kelly Canada
Stephen Rice United Kingdom
Amy Earley United States
Agustı́n Gómez de la Cámara Spain
Alison Steiber United States
Dena Zeraatkar relative to Yaping Chang Canada Yaping Chang's profile →
Citations per field
00.5×9.6×
Yaping Chang · 1×
Citations per year

Countries citing papers authored by Dena Zeraatkar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Dena Zeraatkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dena Zeraatkar Line = papers co-authored together Dena Zeraatkar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
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16 202235
17 202221
18 201921
19
Health-Related Values and Preferences Regarding Meat Consumption
20195
20
Effect of Lower Versus Higher Red Meat Intake on Cardiometabolic and Cancer Outcomes
20192

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), Long-Term Effects of COVID-19 (10 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), COVID-19 Clinical Research Studies (8 papers), Retinal Diseases and Treatments (7 papers), Glaucoma and retinal disorders (7 papers) and Agriculture Sustainability and Environmental Impact (7 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.

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