Yunyun Fang

24 papers and 2.2k indexed citations i.

About

Yunyun Fang is a scholar working on Epidemiology, Molecular Biology and Clinical Psychology. According to data from OpenAlex, Yunyun Fang has authored 24 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 5 papers in Molecular Biology and 4 papers in Clinical Psychology. Recurrent topics in Yunyun Fang’s work include Financing of Health Care Systems and Universal Coverage (4 papers), COVID-19 and Mental Health (4 papers) and Autophagy in Disease and Therapy (4 papers). Yunyun Fang is often cited by papers focused on Financing of Health Care Systems and Universal Coverage (4 papers), COVID-19 and Mental Health (4 papers) and Autophagy in Disease and Therapy (4 papers). Yunyun Fang collaborates with scholars based in China and United States. Yunyun Fang's co-authors include Ping Wu, Junhui Kong, Cordelia J. Fuller, Bin Fan, Jin Lü, Xinhua Liu, Ezra Susser, Christina W. Hoven, Meghana Kakade and Xinhua Liu and has published in prestigious journals such as FEBS Letters, Annals of Oncology and Journal of Thrombosis and Haemostasis.

In The Last Decade

Co-authorship network of co-authors of Yunyun Fang i

Fields of papers citing papers by Yunyun Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yunyun Fang

Since Specialization
Citations

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