Yu Tang

45 papers and 3.1k indexed citations i.

About

Yu Tang is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yu Tang has authored 45 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 13 papers in Neurology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yu Tang’s work include CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (10 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Yu Tang is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (10 papers) and Parkinson's Disease Mechanisms and Treatments (6 papers). Yu Tang collaborates with scholars based in China, United States and Hong Kong. Yu Tang's co-authors include Weidong Le, Juan Yang, Ting Li, Jia Li, Dehua Yang, Chun‐Li Zhang, Meng-Lu Liu, Tong Zang, Lin Song and Xiaojie Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Yu Tang i

Fields of papers citing papers by Yu Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Tang

Since Specialization
Citations

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