Guoying Liu
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Surgery
- Cognitive Neuroscience top 10%
- Co-authors
- Harriet C. ThoenyDavid CollinsMarc Van CauterenGordon RustinBachir TaouliBrian D. RossDow‐Mu KohThomas L. Chenevert
- Topics
- Advanced MRI Techniques and Applications (6 papers)Advanced Neuroimaging Techniques and Applications (4 papers)Medical Imaging Techniques and Applications (2 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingObstetrics and GynecologyOrthopedics and Sports Medicine
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Guoying Liu
13 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 1.9k
- Pulmonary and Respiratory Medicine 253
- Oncology 194
- Surgery 160
- Cognitive Neuroscience 139
Countries citing papers authored by Guoying Liu
This map shows the geographic impact of Guoying Liu'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 Guoying Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoying Liu more than expected).
Fields of papers citing papers by Guoying Liu
This network shows the impact of papers produced by Guoying Liu. 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 Guoying Liu. The network helps show where Guoying Liu may publish in the future.
Co-authorship network of co-authors of Guoying Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Guoying Liu. A scholar is included among the top collaborators of Guoying Liu 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 Guoying Liu. Guoying Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 73 | |
| 3 | 2 | |
| 4 | 48 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendationsbreakdown → | 1591 |
| 8 | 80 | |
| 9 | 71 | |
| 10 | 34 | |
| 11 | 54 | |
| 12 | 157 | |
| 13 | 98 |
About Guoying Liu
Guoying Liu is a scholar working on Radiology, Nuclear Medicine and Imaging, Sensory Systems and Nuclear and High Energy Physics, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.9k citations), Obstetrics and Gynecology (108 citations) and Orthopedics and Sports Medicine (118 citations). Guoying Liu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Harriet C. Thoeny, David Collins, Marc Van Cauteren, Gordon Rustin, Bachir Taouli, Brian D. Ross, Dow‐Mu Koh, Thomas L. Chenevert, Dima A. Hammoud and Anwar R. Padhani. Their work appears in journals such as Cancer Research, Free Radical Biology and Medicine and Magnetic Resonance in Medicine.
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.