Lei Dai

54 papers and 918 indexed citations i.

About

Lei Dai is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Lei Dai has authored 54 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 17 papers in Molecular Biology and 12 papers in Cancer Research. Recurrent topics in Lei Dai’s work include Cancer Cells and Metastasis (6 papers), Mesenchymal stem cell research (5 papers) and Cancer-related molecular mechanisms research (5 papers). Lei Dai is often cited by papers focused on Cancer Cells and Metastasis (6 papers), Mesenchymal stem cell research (5 papers) and Cancer-related molecular mechanisms research (5 papers). Lei Dai collaborates with scholars based in China, United States and United Kingdom. Lei Dai's co-authors include Hongxin Deng, Lin Cheng, Xiaolan Su, Deyuan Li, Lijun Zhang, Yuquan Wei, Gang Shi, Shuang Zhang, Dechao Yu and Xiaolei Chen and has published in prestigious journals such as Biomaterials, Oncogene and ACS Applied Materials & Interfaces.

In The Last Decade

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

Fields of papers citing papers by Lei Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Dai

Since Specialization
Citations

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