Yu Men
- Cancer Research top 10%
- MicroRNA in disease regulation 6
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- Lung Cancer Diagnosis and Treatment 23
- Lung Cancer Treatments and Mutations 14
- Gastric Cancer Management and Outcomes 9
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- Radiomics and Machine Learning in Medical Imaging 14
- Radiation top 10%
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- Esophageal Cancer Research and Treatment 12
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- Lung Cancer Research Studies 7
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- Robot Manipulation and Learning 6
- Journals
- International Journal of Radiation Oncology*Biology*Physics (11 papers)Journal of Thoracic Oncology (2 papers)Cancer Imaging (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yu Men
52 papers receiving 822 citations
Peers
Comparison fields: 5 of 92
- Cancer Research 186
- Pulmonary and Respiratory Medicine 384
- Radiology, Nuclear Medicine and Imaging 193
- Microbiology 6
- Radiation 61
Countries citing papers authored by Yu Men
This map shows the geographic impact of Yu Men'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 Yu Men with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Men more than expected).
Fields of papers citing papers by Yu Men
This network shows the impact of papers produced by Yu Men. 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 Yu Men. The network helps show where Yu Men may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Men, 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 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 9 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 17 | |
| 14 | 2021 | 10 | |
| 15 | 2019 | 108 | |
| 16 | 2019 | 32 | |
| 17 | 2019 | 7 | |
| 18 | 2017 | 1 | |
| 19 | 2016 | 23 | |
| 20 | Progress made in researches on issues about big sports events and ecological environment in China | 2014 | 3 |
About Yu Men
Yu Men is a scholar working on Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology and Radiation, having authored 62 papers that have together received 836 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (23 papers), Lung Cancer Treatments and Mutations (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), Esophageal Cancer Research and Treatment (12 papers), Gastric Cancer Management and Outcomes (9 papers), Lung Cancer Research Studies (7 papers), Robot Manipulation and Learning (6 papers) and MicroRNA in disease regulation (6 papers). The work is most often cited by research in Cancer Research (186 citations), Pulmonary and Respiratory Medicine (384 citations), Radiology, Nuclear Medicine and Imaging (193 citations), Microbiology (6 citations) and Radiation (61 citations). Yu Men has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhouguang Hui, Lühua Wang, Zefen Xiao, Nan Bi, Xin Sun, Qinfu Feng, Jingjing Kang, Zongmei Zhou, Dongfu Chen and Jun Liang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Thoracic Oncology, Cancer Imaging, IEEE Transactions on Industrial Electronics and Radiation 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.