Mai Do

43 papers and 1.4k indexed citations i.

About

Mai Do is a scholar working on Pediatrics, Perinatology and Child Health, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Mai Do has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Pediatrics, Perinatology and Child Health, 14 papers in General Health Professions and 12 papers in Sociology and Political Science. Recurrent topics in Mai Do’s work include Global Maternal and Child Health (18 papers), Migration, Health and Trauma (7 papers) and Financing of Health Care Systems and Universal Coverage (7 papers). Mai Do is often cited by papers focused on Global Maternal and Child Health (18 papers), Migration, Health and Trauma (7 papers) and Financing of Health Care Systems and Universal Coverage (7 papers). Mai Do collaborates with scholars based in United States, Nigeria and Vietnam. Mai Do's co-authors include David R. Hotchkiss, Elie P. Elovic, Catherine C. Turkel, Mark Forrest Gordon, Allison Brashear, Christina Marciniak, Sohail Agha, Paul Hutchinson, Hongyun Fu and Tran Thi Lang and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Mai Do i

Fields of papers citing papers by Mai Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Do

Since Specialization
Citations

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