Ying Cao

42 papers and 689 indexed citations i.

About

Ying Cao is a scholar working on Molecular Biology, Infectious Diseases and Physiology. According to data from OpenAlex, Ying Cao has authored 42 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Infectious Diseases and 6 papers in Physiology. Recurrent topics in Ying Cao’s work include COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Gut microbiota and health (3 papers). Ying Cao is often cited by papers focused on COVID-19 Clinical Research Studies (7 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and Gut microbiota and health (3 papers). Ying Cao collaborates with scholars based in China, Japan and Hong Kong. Ying Cao's co-authors include Masami Hasegawa, Masato Nikaido, Norihiro Okada, Yan Pan, Yongzhan Nie, Chenchen Wang, Meixia Wang, Haohao Zhang, Yupeng Shi and Zhen‐Yu Chen and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Food Chemistry.

In The Last Decade

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

Fields of papers citing papers by Ying Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Cao

Since Specialization
Citations

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