Juan Yang

152 papers and 2.9k indexed citations i.

About

Juan Yang is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Juan Yang has authored 152 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Infectious Diseases, 42 papers in Epidemiology and 32 papers in Modeling and Simulation. Recurrent topics in Juan Yang’s work include COVID-19 epidemiological studies (32 papers), Influenza Virus Research Studies (29 papers) and SARS-CoV-2 and COVID-19 Research (27 papers). Juan Yang is often cited by papers focused on COVID-19 epidemiological studies (32 papers), Influenza Virus Research Studies (29 papers) and SARS-CoV-2 and COVID-19 Research (27 papers). Juan Yang collaborates with scholars based in China, United States and United Kingdom. Juan Yang's co-authors include Hongjie Yu, Shuo Feng, Qianhui Wu, Marco Ajelli, Yaming Zheng, Xiaowei Deng, Wanying Lu, Zeyao Zhao, Cécile Viboud and Eikan Koh and has published in prestigious journals such as Circulation, Nature Medicine and Nature Genetics.

In The Last Decade

Co-authorship network of co-authors of Juan Yang i

Fields of papers citing papers by Juan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juan Yang

Since Specialization
Citations

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