Guangping Dai

80 papers and 4.6k indexed citations i.

About

Guangping Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Guangping Dai has authored 80 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Molecular Biology and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Guangping Dai’s work include Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Cardiac Imaging and Diagnostics (12 papers). Guangping Dai is often cited by papers focused on Advanced MRI Techniques and Applications (37 papers), Advanced Neuroimaging Techniques and Applications (23 papers) and Cardiac Imaging and Diagnostics (12 papers). Guangping Dai collaborates with scholars based in United States, Canada and China. Guangping Dai's co-authors include Van J. Wedeen, Alex J. de Crespigny, Jeremy D. Schmahmann, Helen D’Arceuil, Deepak Ν. Pandya, Anna Moore, Zdravka Medarova, Ruofan Wang, Wen‐Yih Isaac Tseng and Patric Hagmann and has published in prestigious journals such as Science, Circulation and Nature Medicine.

In The Last Decade

Co-authorship network of co-authors of Guangping Dai i

Fields of papers citing papers by Guangping Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Guangping Dai

Since Specialization
Citations

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