Yuting Dai

69 papers and 465 indexed citations i.

About

Yuting Dai is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yuting Dai has authored 69 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Immunology and 10 papers in Oncology. Recurrent topics in Yuting Dai’s work include Acute Myeloid Leukemia Research (9 papers), Single-cell and spatial transcriptomics (8 papers) and Pituitary Gland Disorders and Treatments (5 papers). Yuting Dai is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Single-cell and spatial transcriptomics (8 papers) and Pituitary Gland Disorders and Treatments (5 papers). Yuting Dai collaborates with scholars based in China, United States and Germany. Yuting Dai's co-authors include Jinyan Huang, Sai‐Juan Chen, Guolong Yu, Xiaojuan Xu, Jianfeng Li, Xue‐Ping Li, Bing Chen, Lu Jiang, Chen Zhu and Liang Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

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

Fields of papers citing papers by Yuting Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuting Dai

Since Specialization
Citations

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