An Su

About

An Su is a scholar working on Materials Chemistry, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, An Su has authored 40 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Materials Chemistry, 14 papers in Molecular Biology and 10 papers in Computational Theory and Mathematics. Recurrent topics in An Su’s work include Machine Learning in Materials Science (13 papers), Computational Drug Discovery Methods (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). An Su is often cited by papers focused on Machine Learning in Materials Science (13 papers), Computational Drug Discovery Methods (8 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (8 papers). An Su collaborates with scholars based in China, United States and Macao. An Su's co-authors include Krishna Rajan, Abhijit N. Shirke, Richard A. Gross, Weike Su, Yi Zou, Glenn L. Butterfoss, Chengwei Zhang, Hongliang Duan, Xinqiao Wang and Yuanbin She and has published in prestigious journals such as Chemical Society Reviews, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of An Su i

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Fields of papers citing papers by An Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by An Su

Since Specialization

Citations

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