Ruosi Yao

29 papers and 1.1k indexed citations i.

About

Ruosi Yao is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Ruosi Yao has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 13 papers in Hematology and 5 papers in Oncology. Recurrent topics in Ruosi Yao’s work include Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (9 papers) and Ubiquitin and proteasome pathways (7 papers). Ruosi Yao is often cited by papers focused on Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (9 papers) and Ubiquitin and proteasome pathways (7 papers). Ruosi Yao collaborates with scholars based in China, New Zealand and Hong Kong. Ruosi Yao's co-authors include Baiqu Huang, Jun Lü, Zhongwei Li, Pingfu Hou, Dongxu Liu, Liqin Zhao, Yue Zhao, Y Zhang, Guannan Wang and Kailin Xu and has published in prestigious journals such as Cancer Research, Scientific Reports and Cell Death and Differentiation.

In The Last Decade

Co-authorship network of co-authors of Ruosi Yao i

Fields of papers citing papers by Ruosi Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruosi Yao

Since Specialization
Citations

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