Meiling Bao
Impact in
- Health Informatics top 5%
-
- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
-
- Prostate Cancer Diagnosis and Treatment 22
- Prostate Cancer Treatment and Research 16
- Renal cell carcinoma treatment 5
- Sarcoma Diagnosis and Treatment 4
- Co-authors
- Yu‐Dong Zhang (17 shared papers)Chen‐Jiang Wu (11 shared papers)Xiaoning Wang (5 shared papers)Jing Wang (2 shared papers)Jing Zhang (2 shared papers)Hai‐Bin Shi (10 shared papers)Ying Hou (8 shared papers)Pengfei Shao (11 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (6 papers)BMC Urology (3 papers)Oncotarget (3 papers)American Journal of Roentgenology (3 papers)Tumor Biology (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Meiling Bao
48 papers receiving 797 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 30
- Radiology, Nuclear Medicine and Imaging 359
- Cancer Research 206
- Pulmonary and Respiratory Medicine 404
- Molecular Biology 251
Countries citing papers authored by Meiling Bao
This map shows the geographic impact of Meiling Bao'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 Meiling Bao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meiling Bao more than expected).
Fields of papers citing papers by Meiling Bao
This network shows the impact of papers produced by Meiling Bao. 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 Meiling Bao. The network helps show where Meiling Bao may publish in the future.
Co-authors
The 25 scholars most cited alongside Meiling Bao, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 178 | |
| 2 | 2015 | 58 | |
| 3 | 2013 | 51 | |
| 4 | 2016 | 44 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 34 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2018 | 28 | |
| 11 | 2023 | 26 | |
| 12 | 2014 | 26 | |
| 13 | 2016 | 21 | |
| 14 | 2019 | 19 | |
| 15 | 2017 | 15 | |
| 16 | 2022 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2018 | 13 | |
| 19 | 2017 | 12 | |
| 20 | 2018 | 12 |
About Meiling Bao
Meiling Bao is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery and Cancer Research, having authored 54 papers that have together received 803 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (22 papers), Prostate Cancer Treatment and Research (16 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), Renal cell carcinoma treatment (5 papers), MRI in cancer diagnosis (5 papers), MicroRNA in disease regulation (4 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Sarcoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Health Informatics (30 citations), Radiology, Nuclear Medicine and Imaging (359 citations), Cancer Research (206 citations), Pulmonary and Respiratory Medicine (404 citations) and Molecular Biology (251 citations). Meiling Bao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yu‐Dong Zhang, Chen‐Jiang Wu, Xiaoning Wang, Jing Wang, Jing Zhang, Hai‐Bin Shi, Ying Hou, Pengfei Shao, Chao Qin and Jing Zhang. Their work appears in journals such as Journal of Magnetic Resonance Imaging, BMC Urology, Oncotarget, American Journal of Roentgenology and Tumor Biology.
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.