Shaomin Yan

139 papers and 2.2k indexed citations i.

About

Shaomin Yan is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Shaomin Yan has authored 139 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 41 papers in Epidemiology and 16 papers in Genetics. Recurrent topics in Shaomin Yan’s work include Influenza Virus Research Studies (38 papers), Machine Learning in Bioinformatics (34 papers) and RNA and protein synthesis mechanisms (26 papers). Shaomin Yan is often cited by papers focused on Influenza Virus Research Studies (38 papers), Machine Learning in Bioinformatics (34 papers) and RNA and protein synthesis mechanisms (26 papers). Shaomin Yan collaborates with scholars based in China, Italy and France. Shaomin Yan's co-authors include Guang Wu, Nicoletta Finato, Rossana Bussani, Carlo Alberto Beltrami, Piero Anversa, Annarosa Leri, Konrad Urbanek, Jan Kajstura, Bernardo Nadal‐Ginard and Antonio Paolo Beltrami and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Shaomin Yan i

Fields of papers citing papers by Shaomin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shaomin Yan

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025