About
In recent decades, authors affiliated with Smile Train have published 288 papers, which have received a total of 2.9k indexed citations.
Scholars at this organization have produced 81 papers in Genetics, 42 papers in Surgery and 34 papers in Public Health, Environmental and Occupational Health on the topics of Cleft Lip and Palate Research (76 papers), Craniofacial Disorders and Treatments (55 papers) and Global Health and Surgery (24 papers). Their work is cited by papers focused on Sociology and Political Science (655 citations), Education (368 citations) and Genetics (335 citations). Authors at Smile Train collaborate with scholars in
United States,
United Kingdom and
India and have published in prestigious journals including
Circulation,
Nature Medicine and
Nature Communications. Some of Smile Train's most productive authors include
Harry Shier,
Muna Soltan,
Dennis Smiler,
Nick Bailey,
Sumit Yadav,
Madhur Upadhyay,
Markus Beiler,
Rousiley C. M. Maia,
Marcel Machill and
Hooi Hooi Lean.
This network shows the impact of papers affiliated with Smile Train at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Smile Train at the time of their publication.
This map shows the geographic impact of research produced by authors working at Smile Train. 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 papers produced at Smile Train with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Smile Train 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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