Ya Tan

15 papers and 420 indexed citations i.

About

Ya Tan is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Ya Tan has authored 15 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Epidemiology. Recurrent topics in Ya Tan’s work include Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer-related gene regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). Ya Tan is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (2 papers), Cancer-related gene regulation (2 papers) and Genetic factors in colorectal cancer (2 papers). Ya Tan collaborates with scholars based in China, United States and Macao. Ya Tan's co-authors include Zhuohua Zhang, Jieqiong Tan, Runyi Tian, Hailong Han, Zhengqing Wan, Liang Xue, Chengyuan Tang, Timothy R. Billiar, Tongmei Zhang and Li Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and BioMed Research International.

In The Last Decade

Co-authorship network of co-authors of Ya Tan i

Fields of papers citing papers by Ya Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Tan

Since Specialization
Citations

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