Yun Dai

189 papers and 7.4k indexed citations i.

About

Yun Dai is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Yun Dai has authored 189 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 117 papers in Molecular Biology, 54 papers in Oncology and 52 papers in Hematology. Recurrent topics in Yun Dai’s work include Histone Deacetylase Inhibitors Research (32 papers), Multiple Myeloma Research and Treatments (31 papers) and Ubiquitin and proteasome pathways (28 papers). Yun Dai is often cited by papers focused on Histone Deacetylase Inhibitors Research (32 papers), Multiple Myeloma Research and Treatments (31 papers) and Ubiquitin and proteasome pathways (28 papers). Yun Dai collaborates with scholars based in United States, China and Canada. Yun Dai's co-authors include Steven Grant, Paul Dent, Mohamed Rahmani, Xin‐Yan Pei, Shuang Chen, Roberto R. Rosato, Jorge A. Almenara, Lora B. Kramer, Prithviraj Bose and Hisashi Harada and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Yun Dai i

Fields of papers citing papers by Yun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yun Dai

Since Specialization
Citations

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