Qiyong Guo
- Radiology, Nuclear Medicine and Imaging top 1%
- Hepatology top 2%
- Biomedical Engineering top 10%
- Surgery top 10%
- Epidemiology top 10%
- Topics
- MRI in cancer diagnosis (19 papers)Radiomics and Machine Learning in Medical Imaging (18 papers)Advanced MRI Techniques and Applications (18 papers)
- Journals
- PLoS ONENeuroImageRadiology
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Qiyong Guo
115 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 122
- Radiology, Nuclear Medicine and Imaging 1.0k
- Hepatology 367
- Biomedical Engineering 357
- Surgery 323
- Epidemiology 312
Countries citing papers authored by Qiyong Guo
This map shows the geographic impact of Qiyong Guo'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 Qiyong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiyong Guo more than expected).
Fields of papers citing papers by Qiyong Guo
This network shows the impact of papers produced by Qiyong Guo. 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 Qiyong Guo. The network helps show where Qiyong Guo may publish in the future.
Co-authorship network of co-authors of Qiyong Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Qiyong Guo. A scholar is included among the top collaborators of Qiyong Guo 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 Qiyong Guo. Qiyong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 13 | |
| 8 | 15 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 49 | |
| 14 | Feasibility of iterative reconstruction technique for reducing body radiation dose with enhanced CT of liver tumors | 1 |
| 15 | 25 | |
| 16 | Desmoplastic fibroma of bone:report of two cases | 1 |
| 17 | 4 | |
| 18 | Application of energy subtract angiography of dual source CT in diagnosis of arterial diseases of the lower extremities | 1 |
| 19 | Effect of slight sedation with chloral hydrate on the BOLD response of children's visual cortex:a self-control fMRI study | 3 |
| 20 | Experimental MRI study of articular cartilage in pyogenic arthritis: correlated with histopathology | 1 |
About Qiyong Guo
Qiyong Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Hepatology and Urology, having authored 123 papers that have together received 1.9k indexed citations. Recurring topics across this work include MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (18 papers) and Advanced MRI Techniques and Applications (18 papers). The work is most often cited by research in Hepatology (367 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations) and Obstetrics and Gynecology (101 citations). Qiyong Guo has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yang Hou, Hongzan Sun, Guoguang Fan, Zaiming Lu, Bing Yu, Zhenhua Wu, Yu Shi, Jun Xin, Hideo Uchida and Hajime Ohishi. Their work appears in journals such as PLoS ONE, NeuroImage and Radiology.
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.