Kaisen Lin

12 papers and 1.2k indexed citations i.

About

Kaisen Lin is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kaisen Lin has authored 12 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Epidemiology and 4 papers in Modeling and Simulation. Recurrent topics in Kaisen Lin’s work include Infection Control and Ventilation (6 papers), COVID-19 epidemiological studies (4 papers) and Influenza Virus Research Studies (3 papers). Kaisen Lin is often cited by papers focused on Infection Control and Ventilation (6 papers), COVID-19 epidemiological studies (4 papers) and Influenza Virus Research Studies (3 papers). Kaisen Lin collaborates with scholars based in United States, China and Hong Kong. Kaisen Lin's co-authors include Linsey C. Marr, Aaron J. Prussin, Karen A. Kormuth, David Otto Schwake, Daniel L. Gallagher, Michael M. Myerburg, Seema S. Lakdawala, Eric P. Vejerano, Andrea J. Tiwari and Christopher M. Reilly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Kaisen Lin i

Fields of papers citing papers by Kaisen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kaisen Lin

Since Specialization
Citations

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