Fan‐Yun Lan

26 papers and 507 indexed citations i.

About

Fan‐Yun Lan is a scholar working on Modeling and Simulation, Occupational Therapy and Infectious Diseases. According to data from OpenAlex, Fan‐Yun Lan has authored 26 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 7 papers in Occupational Therapy and 7 papers in Infectious Diseases. Recurrent topics in Fan‐Yun Lan’s work include COVID-19 epidemiological studies (7 papers), Occupational Health and Performance (7 papers) and Infection Control and Ventilation (5 papers). Fan‐Yun Lan is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Occupational Health and Performance (7 papers) and Infection Control and Ventilation (5 papers). Fan‐Yun Lan collaborates with scholars based in United States, Taiwan and Spain. Fan‐Yun Lan's co-authors include Stefanos N. Kales, Yu‐Tien Hsu, David C. Christiani, Costas A. Christophi, Justin Yang, Christian Suharlim, Alejandro Fernández‐Montero, Lou Ann Bruno‐Murtha, Eirini Iliaki and Robert M. Filler and has published in prestigious journals such as PLoS ONE, Scientific Reports and Medicine & Science in Sports & Exercise.

In The Last Decade

Co-authorship network of co-authors of Fan‐Yun Lan i

Fields of papers citing papers by Fan‐Yun Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fan‐Yun Lan. 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 Fan‐Yun Lan. The network helps show where Fan‐Yun Lan may publish in the future.

Countries citing papers authored by Fan‐Yun Lan

Since Specialization
Citations

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