Xiaoqin Tan

About

Xiaoqin Tan is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Xiaoqin Tan has authored 23 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 12 papers in Computational Theory and Mathematics and 5 papers in Materials Chemistry. Recurrent topics in Xiaoqin Tan’s work include Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (4 papers). Xiaoqin Tan is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Machine Learning in Materials Science (4 papers) and Chemical Synthesis and Analysis (4 papers). Xiaoqin Tan collaborates with scholars based in China, Norway and United States. Xiaoqin Tan's co-authors include Mingyue Zheng, Hualiang Jiang, Xiaohong Liu, Kaixian Chen, Xiaomin Luo, Feisheng Zhong, Xutong Li, Tianbiao Yang, Dingyan Wang and Lifan Chen and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Journal of Power Sources.

In The Last Decade

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

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Fields of papers citing papers by Xiaoqin Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiaoqin Tan

Since Specialization

Citations

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