T. D'Mello

7 papers and 323 indexed citations i.

About

T. D'Mello is a scholar working on Epidemiology, Modeling and Simulation and Physiology. According to data from OpenAlex, T. D'Mello has authored 7 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 5 papers in Modeling and Simulation and 2 papers in Physiology. Recurrent topics in T. D'Mello’s work include Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and COVID-19 epidemiological studies (5 papers). T. D'Mello is often cited by papers focused on Influenza Virus Research Studies (7 papers), Respiratory viral infections research (5 papers) and COVID-19 epidemiological studies (5 papers). T. D'Mello collaborates with scholars based in United States, Uganda and Mongolia. T. D'Mello's co-authors include Shelley M. Zansky, Ruth Lynfield, Ann Thomas, Nancy M. Bennett, Patricia Ryan, Lyn Finelli, Craig Morin, Alejandro Pérez, Emily Hancock and William Schaffner and has published in prestigious journals such as PEDIATRICS, Clinical Infectious Diseases and The Journal of Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of T. D'Mello i

Fields of papers citing papers by T. D'Mello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. D'Mello. 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 T. D'Mello. The network helps show where T. D'Mello may publish in the future.

Countries citing papers authored by T. D'Mello

Since Specialization
Citations

This map shows the geographic impact of T. D'Mello'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 T. D'Mello with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. D'Mello 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