Su An

35 papers and 585 indexed citations i.

About

Su An is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Su An has authored 35 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 9 papers in Computational Theory and Mathematics and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Su An’s work include Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (8 papers) and Receptor Mechanisms and Signaling (8 papers). Su An is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Melanoma and MAPK Pathways (8 papers) and Receptor Mechanisms and Signaling (8 papers). Su An collaborates with scholars based in China, United Kingdom and South Korea. Su An's co-authors include Tian‐Rui Xu, Xiao‐Xi Guo, Richard J. Ward, Ying Liu, Yang Yang, Qian Hao, Jiaojiao Yu, Yang Yang, Ying Liu and Yin Liu and has published in prestigious journals such as Biochemical Journal, Biochemical and Biophysical Research Communications and Gene.

In The Last Decade

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

Fields of papers citing papers by Su An

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Su An

Since Specialization
Citations

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