George Dai

25 total papers · 858 total citations
14 papers, 653 citations indexed

About

George Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, George Dai has authored 14 papers receiving a total of 653 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Cognitive Neuroscience and 3 papers in Epidemiology. Recurrent topics in George Dai's work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Functional Brain Connectivity Studies (3 papers). George Dai is often cited by papers focused on Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Functional Brain Connectivity Studies (3 papers). George Dai collaborates with scholars based in United States, Netherlands and Canada. George Dai's co-authors include Stefan A. Carp, Maria Angela Franceschini, David A. Boas, Lee Josephson, Geng Li, David E. Sosnovik, Anthony Rosenzweig, Matthias Nahrendorf, Luanda Grazette and Михаил С. Новиков and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Stroke and The FASEB Journal.

In The Last Decade

George Dai

14 papers receiving 642 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
George Dai 261 186 142 94 87 14 653
Chun‐Qiang Lu 195 0.7× 119 0.6× 44 0.3× 72 0.8× 56 0.6× 32 620
John Q. Nguyen 225 0.9× 76 0.4× 184 1.3× 46 0.5× 71 0.8× 23 621
Andrea Sbarbati 109 0.4× 292 1.6× 149 1.0× 40 0.4× 73 0.8× 37 702
Sandra Burghoff 78 0.3× 168 0.9× 59 0.4× 57 0.6× 45 0.5× 15 687
John B. Williams 60 0.2× 213 1.1× 80 0.6× 37 0.4× 52 0.6× 19 660
Suyi Cao 109 0.4× 195 1.0× 46 0.3× 30 0.3× 93 1.1× 19 572
Marcus Schultze‐Mosgau 187 0.7× 130 0.7× 118 0.8× 59 0.6× 134 1.5× 17 623
Allen R. Pierce 183 0.7× 156 0.8× 58 0.4× 124 1.3× 86 1.0× 15 649
Jeffrey Thompson 50 0.2× 86 0.5× 67 0.5× 86 0.9× 57 0.7× 12 609
Brendan J. Quirk 283 1.1× 104 0.6× 235 1.7× 24 0.3× 36 0.4× 19 678

Countries citing papers authored by George Dai

Since Specialization
Citations

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

Fields of papers citing papers by George Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Dai

This figure shows the co-authorship network connecting the top 25 collaborators of George Dai. A scholar is included among the top collaborators of George Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George Dai. George Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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