Yuting Guo

92 papers and 2.5k indexed citations i.

About

Yuting Guo is a scholar working on Molecular Biology, Artificial Intelligence and Biophysics. According to data from OpenAlex, Yuting Guo has authored 92 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Artificial Intelligence and 10 papers in Biophysics. Recurrent topics in Yuting Guo’s work include Topic Modeling (9 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Yuting Guo is often cited by papers focused on Topic Modeling (9 papers), Advanced Fluorescence Microscopy Techniques (7 papers) and Biomedical Text Mining and Ontologies (5 papers). Yuting Guo collaborates with scholars based in China, United States and United Kingdom. Yuting Guo's co-authors include Dong Li, D. S. Grant, Grace Martin, Ping Long, Antonino Passaniti, Rebecca Pauly, Роберто Пили, Rosanne M. Taylor, Chong Liu and Di Li and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Co-authorship network of co-authors of Yuting Guo i

Fields of papers citing papers by Yuting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuting Guo

Since Specialization
Citations

This map shows the geographic impact of Yuting Guo'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 Yuting Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Guo 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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2025