Yu‐Dong Cai

462 papers and 14.5k indexed citations i.

About

Yu‐Dong Cai is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yu‐Dong Cai has authored 462 papers receiving a total of 14.5k indexed citations (citations by other indexed papers that have themselves been cited), including 362 papers in Molecular Biology, 71 papers in Computational Theory and Mathematics and 53 papers in Cancer Research. Recurrent topics in Yu‐Dong Cai’s work include Machine Learning in Bioinformatics (226 papers), RNA and protein synthesis mechanisms (81 papers) and Bioinformatics and Genomic Networks (77 papers). Yu‐Dong Cai is often cited by papers focused on Machine Learning in Bioinformatics (226 papers), RNA and protein synthesis mechanisms (81 papers) and Bioinformatics and Genomic Networks (77 papers). Yu‐Dong Cai collaborates with scholars based in China, United States and United Kingdom. Yu‐Dong Cai's co-authors include Kuo‐Chen Chou, Tao Huang, Lei Chen, Kuo‐Chen Chou, Kaiyan Feng, Yuhang Zhang, Xiangyin Kong, Le‐Le Hu, Guo‐Ping Zhou and Yixue Li and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Co-authorship network of co-authors of Yu‐Dong Cai i

Fields of papers citing papers by Yu‐Dong Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Dong Cai. 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 Yu‐Dong Cai. The network helps show where Yu‐Dong Cai may publish in the future.

Countries citing papers authored by Yu‐Dong Cai

Since Specialization
Citations

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