Tina Q. Tan

113 papers and 4.9k indexed citations i.

About

Tina Q. Tan is a scholar working on Epidemiology, Microbiology and Infectious Diseases. According to data from OpenAlex, Tina Q. Tan has authored 113 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Epidemiology, 48 papers in Microbiology and 28 papers in Infectious Diseases. Recurrent topics in Tina Q. Tan’s work include Pneumonia and Respiratory Infections (73 papers), Bacterial Infections and Vaccines (48 papers) and Vaccine Coverage and Hesitancy (22 papers). Tina Q. Tan is often cited by papers focused on Pneumonia and Respiratory Infections (73 papers), Bacterial Infections and Vaccines (48 papers) and Vaccine Coverage and Hesitancy (22 papers). Tina Q. Tan collaborates with scholars based in United States, Australia and Germany. Tina Q. Tan's co-authors include Sheldon L. Kaplan, Edward O. Mason, William J. Barson, John S. Bradley, Laurence B. Givner, Gordon E. Schutze, Ellen R. Wald, Ram Yogev, Jill A. Hoffman and Kevin Forsyth and has published in prestigious journals such as PEDIATRICS, Clinical Microbiology Reviews and Clinical Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Tina Q. Tan i

Fields of papers citing papers by Tina Q. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tina Q. Tan. 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 Tina Q. Tan. The network helps show where Tina Q. Tan may publish in the future.

Countries citing papers authored by Tina Q. Tan

Since Specialization
Citations

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