Tu My To

71 total papers · 521 total citations
41 papers, 344 citations indexed

About

Tu My To is a scholar working on Epidemiology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tu My To has authored 41 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 8 papers in Oncology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tu My To’s work include Respiratory viral infections research (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Tu My To is often cited by papers focused on Respiratory viral infections research (5 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Tu My To collaborates with scholars based in United States, Switzerland and France. Tu My To's co-authors include Jason Melo, May Sudhinaraset, Anne Lee, Mary N. Haan, Ibrahim M. Abbass, Charles C. Wykoff, Rahul N. Khurana, Quan Dong Nguyen, Scott P. Kelly and Anna M. Abolian and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Neurology.

Co-authorship network of co-authors of Tu My To

This figure shows the co-authorship network connecting the top 25 collaborators of Tu My To. A scholar is included among the top collaborators of Tu My To 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 Tu My To. Tu My To is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Tu My To

36 papers receiving 326 citations

Fields of papers citing papers by Tu My To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tu My To. 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 Tu My To. The network helps show where Tu My To may publish in the future.

Countries citing papers authored by Tu My To

Since Specialization
Citations

This map shows the geographic impact of Tu My To'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 Tu My To with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu My To 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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2026