Ying Fan

21 papers and 502 indexed citations i.

About

Ying Fan is a scholar working on Infectious Diseases, Neurology and Surgery. According to data from OpenAlex, Ying Fan has authored 21 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 4 papers in Neurology and 3 papers in Surgery. Recurrent topics in Ying Fan’s work include COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ying Fan is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Long-Term Effects of COVID-19 (4 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Ying Fan collaborates with scholars based in China, United States and United Kingdom. Ying Fan's co-authors include Min Chen, Wei Cui, Anping Ni, Wei Wu, Jinqiang Zhang, Xuefeng Xia, Wen Wu, Philippe Maincent, Qianyu Zhang and Jinqiang Zhang and has published in prestigious journals such as Clinical Infectious Diseases, Chemical Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Ying Fan i

Fields of papers citing papers by Ying Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Fan

Since Specialization
Citations

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