Feng Gu

141 papers and 3.1k indexed citations i.

About

Feng Gu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Feng Gu has authored 141 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 45 papers in Oncology and 36 papers in Cancer Research. Recurrent topics in Feng Gu’s work include Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (13 papers) and Cell Adhesion Molecules Research (12 papers). Feng Gu is often cited by papers focused on Breast Lesions and Carcinomas (13 papers), Breast Cancer Treatment Studies (13 papers) and Cell Adhesion Molecules Research (12 papers). Feng Gu collaborates with scholars based in China, United States and Japan. Feng Gu's co-authors include Li Fu, Yongjie Ma, Ronggang Lang, Li Fu, Xinmin Zhang, Xiaojing Guo, Yu Fan, Li Fu, Fangfang Liu and Gordon A. Pringle and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Feng Gu i

Fields of papers citing papers by Feng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Feng Gu

Since Specialization
Citations

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