Elizabeth T. Chin

17 papers and 344 indexed citations i.

About

Elizabeth T. Chin is a scholar working on Sociology and Political Science, Modeling and Simulation and Clinical Psychology. According to data from OpenAlex, Elizabeth T. Chin has authored 17 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 5 papers in Modeling and Simulation and 4 papers in Clinical Psychology. Recurrent topics in Elizabeth T. Chin’s work include COVID-19 epidemiological studies (5 papers), Criminal Justice and Corrections Analysis (3 papers) and COVID-19 Clinical Research Studies (3 papers). Elizabeth T. Chin is often cited by papers focused on COVID-19 epidemiological studies (5 papers), Criminal Justice and Corrections Analysis (3 papers) and COVID-19 Clinical Research Studies (3 papers). Elizabeth T. Chin collaborates with scholars based in United States, Mexico and United Kingdom. Elizabeth T. Chin's co-authors include Benjamin Q. Huynh, Sanjay Basu, Jason R. Andrews, Nathan C. Lo, David M. Studdert, Jeremy D. Goldhaber‐Fiebert, Joshua A. Salomon, Lloyd A. C. Chapman, Fernando Alarid‐Escudero and Matthew Murrill and has published in prestigious journals such as New England Journal of Medicine, Clinical Infectious Diseases and The Lancet Infectious Diseases.

In The Last Decade

Co-authorship network of co-authors of Elizabeth T. Chin i

Fields of papers citing papers by Elizabeth T. Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth T. Chin. 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 Elizabeth T. Chin. The network helps show where Elizabeth T. Chin may publish in the future.

Countries citing papers authored by Elizabeth T. Chin

Since Specialization
Citations

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