Dyda Dao

23 papers and 567 indexed citations i.

About

Dyda Dao is a scholar working on Pathology and Forensic Medicine, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Dyda Dao has authored 23 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pathology and Forensic Medicine, 6 papers in Surgery and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Dyda Dao’s work include Vitamin D Research Studies (3 papers), Global Cancer Incidence and Screening (3 papers) and Breast Cancer Treatment Studies (3 papers). Dyda Dao is often cited by papers focused on Vitamin D Research Studies (3 papers), Global Cancer Incidence and Screening (3 papers) and Breast Cancer Treatment Studies (3 papers). Dyda Dao collaborates with scholars based in Canada, United States and Vietnam. Dyda Dao's co-authors include Forough Farrokhyar, Olufemi R. Ayeni, Devin Peterson, Mohit Bhandari, Mark Loeb, Lyubov Lytvyn, Danielle Vuichard‐Gysin, Joseph F. Cavallari, Brandyn D. Henriksbo and Mehran Midia and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The American Journal of Sports Medicine.

In The Last Decade

Co-authorship network of co-authors of Dyda Dao i

Fields of papers citing papers by Dyda Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dyda Dao

Since Specialization
Citations

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

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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2025