Chu‐Shu Gu

About

Chu‐Shu Gu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Hepatology. According to data from OpenAlex, Chu‐Shu Gu has authored 36 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Pulmonary and Respiratory Medicine and 11 papers in Hepatology. Recurrent topics in Chu‐Shu Gu’s work include Radiomics and Machine Learning in Medical Imaging (12 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Chu‐Shu Gu is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (12 papers), Venous Thromboembolism Diagnosis and Management (11 papers) and Hepatocellular Carcinoma Treatment and Prognosis (10 papers). Chu‐Shu Gu collaborates with scholars based in Canada, United States and France. Chu‐Shu Gu's co-authors include Jim A. Julian, Mark N. Levine, Gregory J. Butler, Agnes Lee, Lorrie Costantini, Carolyn Webb, Susan Solymoss, Howard A. Liebman, Luz Margarita Ramirez and David Deitchman and has published in prestigious journals such as JAMA, Circulation and Journal of Clinical Oncology.

In The Last Decade

Co-authorship network of co-authors of Chu‐Shu Gu i

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Fields of papers citing papers by Chu‐Shu Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chu‐Shu Gu

Since Specialization

Citations

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