Yiwen Mo
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiopharmaceutical Chemistry and Applications
- MRI in cancer diagnosis
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- Head and Neck Cancer Studies
Papers in
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- Lung Cancer Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 1
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- Radiomics and Machine Learning in Medical Imaging 3
- Medical Imaging Techniques and Applications 3
- Co-authors
- JinYu Guo (3 shared papers)Wei Fan (6 shared papers)Bo Qiu (3 shared papers)Jia Fu (2 shared papers)Daquan Wang (2 shared papers)Songran Liu (2 shared papers)Rui Zhou (2 shared papers)Yingying Hu (3 shared papers)
- Journals
- European Journal of Nuclear Medicine and Molecular Imaging (3 papers)Journal of Clinical Oncology (1 paper)Cancers (1 paper)Journal of Nuclear Medicine (1 paper)Therapeutic Advances in Medical Oncology (1 paper)
- Partner nations
- ChinaNetherlandsUnited Kingdom
In The Last Decade
Yiwen Mo
8 papers receiving 61 citations
Peers
Comparison fields: 5 of 20
- Radiology, Nuclear Medicine and Imaging 38
- Otorhinolaryngology 3
- Radiation 4
- Pulmonary and Respiratory Medicine 11
- Oncology 6
Countries citing papers authored by Yiwen Mo
This map shows the geographic impact of Yiwen Mo'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 Yiwen Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiwen Mo more than expected).
Fields of papers citing papers by Yiwen Mo
This network shows the impact of papers produced by Yiwen Mo. 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 Yiwen Mo. The network helps show where Yiwen Mo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiwen Mo, 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 | 2022 | 25 | |
| 2 | 2023 | 18 | |
| 3 | 2024 | 4 | |
| 4 | 2021 | 4 | |
| 5 | 2024 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2019 | 2 | |
| 8 | 2025 | 2 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 0 | |
| 11 | 2025 | 0 |
About Yiwen Mo
Yiwen Mo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Oncology, Otorhinolaryngology and Pathology and Forensic Medicine, having authored 11 papers that have together received 61 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Head and Neck Cancer Studies (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (38 citations), Otorhinolaryngology (3 citations), Radiation (4 citations), Pulmonary and Respiratory Medicine (11 citations) and Oncology (6 citations). Yiwen Mo has collaborated with scholars based in China, Netherlands and United Kingdom. Frequent co-authors include JinYu Guo, Wei Fan, Bo Qiu, Jia Fu, Daquan Wang, Songran Liu, Rui Zhou, Yingying Hu, Chu Chu and Xinling Li. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Clinical Oncology, Cancers, Journal of Nuclear Medicine and Therapeutic Advances in Medical 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.