Yingqi Song

23 papers and 351 indexed citations i.

About

Yingqi Song is a scholar working on Molecular Biology, Hematology and Plant Science. According to data from OpenAlex, Yingqi Song has authored 23 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Hematology and 2 papers in Plant Science. Recurrent topics in Yingqi Song’s work include Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (3 papers). Yingqi Song is often cited by papers focused on Protein Degradation and Inhibitors (6 papers), Ubiquitin and proteasome pathways (5 papers) and Multiple Myeloma Research and Treatments (3 papers). Yingqi Song collaborates with scholars based in China, Macao and Hong Kong. Yingqi Song's co-authors include Liming Zhou, Rong Li, Li Li, Yuanyuan Zhang, Chung‐Hang Leung, Xiuying Ma, Frederick A. Ofosu, John W. Fenton, Wanhe Wang and Dik‐Lung Ma and has published in prestigious journals such as Journal of Biological Chemistry, The Plant Cell and Biochemistry.

In The Last Decade

Co-authorship network of co-authors of Yingqi Song i

Fields of papers citing papers by Yingqi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yingqi Song

Since Specialization
Citations

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