Zhiming Dai

45 papers and 546 indexed citations i.

About

Zhiming Dai is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Zhiming Dai has authored 45 papers receiving a total of 546 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Genetics. Recurrent topics in Zhiming Dai’s work include Genomics and Chromatin Dynamics (24 papers), RNA and protein synthesis mechanisms (24 papers) and RNA Research and Splicing (10 papers). Zhiming Dai is often cited by papers focused on Genomics and Chromatin Dynamics (24 papers), RNA and protein synthesis mechanisms (24 papers) and RNA Research and Splicing (10 papers). Zhiming Dai collaborates with scholars based in China, United States and Macao. Zhiming Dai's co-authors include Xianhua Dai, Haitao Yu, Guishan Zhang, Yuanyan Xiong, Qian Xiang, Zhou Songyang, Yangyang Deng, Jiang Wang, Caisheng He and Zhenhua Luo and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Zhiming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Zhiming Dai

Since Specialization
Citations

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