Jing Yan
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Cardiac Imaging and Diagnostics
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
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- Head and Neck Cancer Studies 11
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- Radiomics and Machine Learning in Medical Imaging 21
- MRI in cancer diagnosis 11
- Cardiac Imaging and Diagnostics 10
- Radiation Dose and Imaging 9
- Advanced Neuroimaging Techniques and Applications 8
- Co-authors
- Julia F. CharlesAntonios O. AliprantisJeremy HerzogMaureen BowerWendy S. GarrettKelly TsangBalfour R. SartorCaitlin A. Brennan
- Journals
- European Radiology (8 papers)Oncotarget (4 papers)Radiation Oncology (3 papers)Journal of Computer Assisted Tomography (3 papers)Frontiers in Oncology (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jing Yan
111 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Radiology, Nuclear Medicine and Imaging 870
- Genetics 232
- Health Informatics 28
- Orthopedics and Sports Medicine 159
- Otorhinolaryngology 76
Countries citing papers authored by Jing Yan
This map shows the geographic impact of Jing Yan'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 Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yan more than expected).
Fields of papers citing papers by Jing Yan
This network shows the impact of papers produced by Jing Yan. 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 Yan. The network helps show where Jing Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 22 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 10 | |
| 7 | 2023 | 23 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 9 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 63 | |
| 15 | 2021 | 71 | |
| 16 | 2021 | 19 | |
| 17 | 2018 | 92 | |
| 18 | 2018 | 2 | |
| 19 | 2017 | 42 | |
| 20 | Gut microbiota induce IGF-1 and promote bone formation and growth Hit paper breakdown → | 2016 | 535 |
About Jing Yan
Jing Yan is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging, Genetics, Structural Biology and Pulmonary and Respiratory Medicine, having authored 120 papers that have together received 3.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (21 papers), Glioma Diagnosis and Treatment (20 papers), Advanced X-ray and CT Imaging (15 papers), MRI in cancer diagnosis (11 papers), Head and Neck Cancer Studies (11 papers), Cardiac Imaging and Diagnostics (10 papers), Radiation Dose and Imaging (9 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (870 citations), Genetics (232 citations), Health Informatics (28 citations), Orthopedics and Sports Medicine (159 citations) and Otorhinolaryngology (76 citations). Jing Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Julia F. Charles, Antonios O. Aliprantis, Jeremy Herzog, Maureen Bower, Wendy S. Garrett, Kelly Tsang, Balfour R. Sartor, Caitlin A. Brennan, Baorui Liu and Ellen M. Gravallese. Their work appears in journals such as European Radiology, Oncotarget, Radiation Oncology, Journal of Computer Assisted Tomography and Frontiers in Oncology.
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.