Serina Chang

11 papers and 930 indexed citations i.

About

Serina Chang is a scholar working on Epidemiology, Transportation and Modeling and Simulation. According to data from OpenAlex, Serina Chang has authored 11 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Transportation and 4 papers in Modeling and Simulation. Recurrent topics in Serina Chang’s work include COVID-19 epidemiological studies (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Vaccine Coverage and Hesitancy (2 papers). Serina Chang is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Human Mobility and Location-Based Analysis (3 papers) and Vaccine Coverage and Hesitancy (2 papers). Serina Chang collaborates with scholars based in United States and Japan. Serina Chang's co-authors include Jure Leskovec, Pang Wei Koh, Emma Pierson, Jaline Gerardin, David B. Grusky, Beth Redbird, Leah Platt Boustan, Rob Voigt, Dan Jurafsky and Kathy McKeown and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Serina Chang i

Fields of papers citing papers by Serina Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Serina Chang. 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 Serina Chang. The network helps show where Serina Chang may publish in the future.

Countries citing papers authored by Serina Chang

Since Specialization
Citations

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