Jiu-Xin Tan

About

Jiu-Xin Tan is a scholar working on Molecular Biology, Epidemiology and Spectroscopy. According to data from OpenAlex, Jiu-Xin Tan has authored 8 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Epidemiology and 1 paper in Spectroscopy. Recurrent topics in Jiu-Xin Tan’s work include Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (5 papers). Jiu-Xin Tan is often cited by papers focused on Machine Learning in Bioinformatics (7 papers), RNA and protein synthesis mechanisms (6 papers) and Genomics and Phylogenetic Studies (5 papers). Jiu-Xin Tan collaborates with scholars based in China and Russia. Jiu-Xin Tan's co-authors include Wei Chen, Zimei Zhang, Hao Lin, Hao Lv, Fanny Dao, Cuixia Chen, Hua Tang, Fang Wang, Hui Ding and Zhao‐Yue Zhang and has published in prestigious journals such as Molecules, Genomics and Chemometrics and Intelligent Laboratory Systems.

In The Last Decade

Co-authorship network of co-authors of Jiu-Xin Tan i

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Fields of papers citing papers by Jiu-Xin Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jiu-Xin Tan

Since Specialization

Citations

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