George Dai

859 citations
14 papers · 650 · h-index 11

Impact in

Papers in

George Dai

14 papers receiving 639 citations

Peers

George Dai
Comparison fields: 5 of 88
  • Radiology, Nuclear Medicine and Imaging 260
  • Biophysics 32
  • Biomaterials 55
  • Rehabilitation 25
  • Critical Care and Intensive Care Medicine 18
Replace Karina Litvinova with:
Karina Litvinova United Kingdom
Katsuhiko Tsujioka Japan
Young R. Kim United States
Frank Pillekamp Germany
Jeff F. Dunn United Kingdom
Donnie Cameron United Kingdom
Serguei Liachenko United States
Stefano Lepore Italy
Thomas Reithmeier Germany
Susanne M. Schwarzmaier Germany
George Dai relative to Karina Litvinova United Kingdom Karina Litvinova's profile →
Citations per field
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Karina Litvinova · 1×
Citations per year

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-authors

The 25 scholars most cited alongside George Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George Dai Line = papers co-authored together George Dai links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2005187
2 2010105
3 200588
4 200966
5 200543
6 200638
7 200836
8 200527
9 200015
10 200615
11 200014
12 20108
13 20155
14 20053

About George Dai

George Dai is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience, Epidemiology, Physiology and Biophysics, having authored 14 papers that have together received 650 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Electron Spin Resonance Studies (3 papers), Functional Brain Connectivity Studies (3 papers), Burn Injury Management and Outcomes (2 papers), Adipose Tissue and Metabolism (2 papers), Autophagy in Disease and Therapy (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (260 citations), Biophysics (32 citations), Biomaterials (55 citations), Rehabilitation (25 citations) and Critical Care and Intensive Care Medicine (18 citations). George Dai has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include David A. Boas, Stefan A. Carp, Maria Angela Franceschini, Ralph Weissleder, Geng Li, Edward Yang, Xifei Yang, Fred Reynolds, Luanda Grazette and Михаил С. Новиков. Their work appears in journals such as Magnetic Resonance in Medicine, Journal of Cerebral Blood Flow & Metabolism, Human Gene Therapy, The Anatomical Record Part A Discoveries in Molecular Cellular and Evolutionary Biology and Biomedical Optics Express.

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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