Jing Gao
Impact in
-
- Ultrasound Imaging and Elastography
- Hepatology top 5%
- Liver Disease and Transplantation
Papers in
-
- Ultrasound Imaging and Elastography 27
- MRI in cancer diagnosis 9
-
- Ultrasound and Hyperthermia Applications 26
- Photoacoustic and Ultrasonic Imaging 18
- Co-authors
- Jonathan M. Rubin (18 shared papers)Johnson Chen (12 shared papers)Wen He (9 shared papers)Michael W. O’Dell (6 shared papers)Jianwen Luo (5 shared papers)Robert J. Min (15 shared papers)Xiaolong Liang (3 shared papers)Lingdong Jiang (1 shared paper)
- Journals
- Journal of Ultrasound in Medicine (19 papers)Ultrasound in Medicine & Biology (15 papers)Clinical Imaging (24 papers)Radiology (2 papers)Disease Markers (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jing Gao
103 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 112
- Radiology, Nuclear Medicine and Imaging 452
- Hepatology 144
- Orthopedics and Sports Medicine 138
- Nephrology 110
- Biomedical Engineering 432
Countries citing papers authored by Jing Gao
This map shows the geographic impact of Jing Gao'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 Jing Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Gao more than expected).
Fields of papers citing papers by Jing Gao
This network shows the impact of papers produced by Jing Gao. 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 Jing Gao. The network helps show where Jing Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 129 | |
| 2 | 2015 | 75 | |
| 3 | 2017 | 56 | |
| 4 | 2018 | 55 | |
| 5 | 2016 | 53 | |
| 6 | 2011 | 52 | |
| 7 | 2012 | 39 | |
| 8 | 2012 | 37 | |
| 9 | 2022 | 34 | |
| 10 | 2009 | 33 | |
| 11 | 2022 | 33 | |
| 12 | 2013 | 32 | |
| 13 | 2007 | 31 | |
| 14 | 2013 | 31 | |
| 15 | 2015 | 30 | |
| 16 | 2012 | 29 | |
| 17 | 2013 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2019 | 27 | |
| 20 | 2019 | 24 |
About Jing Gao
Jing Gao is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (27 papers), Ultrasound and Hyperthermia Applications (26 papers), Photoacoustic and Ultrasonic Imaging (18 papers), Liver Disease Diagnosis and Treatment (17 papers), Renal and Vascular Pathologies (15 papers), Liver Disease and Transplantation (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers) and MRI in cancer diagnosis (9 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (452 citations), Hepatology (144 citations), Orthopedics and Sports Medicine (138 citations), Nephrology (110 citations) and Biomedical Engineering (432 citations). Jing Gao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jonathan M. Rubin, Johnson Chen, Wen He, Michael W. O’Dell, Jianwen Luo, Robert J. Min, Xiaolong Liang, Lingdong Jiang, Yushen Jin and Zhifei Dai. Their work appears in journals such as Journal of Ultrasound in Medicine, Ultrasound in Medicine & Biology, Clinical Imaging, Radiology and Disease Markers.
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.