Kun Guo

120 papers and 3.1k indexed citations i.

About

Kun Guo is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kun Guo has authored 120 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 27 papers in Oncology and 24 papers in Cancer Research. Recurrent topics in Kun Guo’s work include Glycosylation and Glycoproteins Research (16 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Kun Guo is often cited by papers focused on Glycosylation and Glycoproteins Research (16 papers), Cancer, Hypoxia, and Metabolism (14 papers) and Endoplasmic Reticulum Stress and Disease (9 papers). Kun Guo collaborates with scholars based in China, United States and India. Kun Guo's co-authors include Qingyong Ma, Yinkun Liu, Erxi Wu, Tao Shan, Lu Sun, Xiaonan Kang, Dongmei Gao, Keping Xie, Shu Zhang and Jiaqi Liu and has published in prestigious journals such as Gastroenterology, PLoS ONE and Cancer Research.

In The Last Decade

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

Fields of papers citing papers by Kun Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kun Guo

Since Specialization
Citations

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