Yu Men

1.4k citations
61 papers · 897 · h-index 15

Impact in

Papers in

    • Lung Cancer Diagnosis and Treatment 19
    • Gastric Cancer Management and Outcomes 7
    • Lung Cancer Treatments and Mutations 6
    • Esophageal Cancer Research and Treatment 12

Yu Men

52 papers receiving 880 citations

Peers

Yu Men
Comparison fields: 5 of 94
  • Cancer Research 160
  • Pulmonary and Respiratory Medicine 263
  • Oncology 148
  • Radiology, Nuclear Medicine and Imaging 99
  • Molecular Biology 234
Replace Qiang Nie with:
Qiang Nie China
Peijing Li China
Guangyu Luo China
Ming Ye China
Guozhi Zhang China
Akira Maekawa Japan
Dong–Hua Luo China
Fan Xia China
Zhongqiu Wang China
Yu Men relative to Qiang Nie China Qiang Nie's profile →
Citations per field
00.5×1.6×
Qiang Nie · 1×
Citations per year

Countries citing papers authored by Yu Men

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Yu Men Line = papers co-authored together Yu Men links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021148
2 2019111
3 201779
4 202177
5 202041
6 201637
7 201636
8 201933
9 201628
10 201827
11 201625
12 202223
13 202318
14 202117
15 201915
16 201913
17 202412
18 202111
19 202110
20 20239

About Yu Men

Yu Men is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 61 papers that have together received 897 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (19 papers), Esophageal Cancer Research and Treatment (12 papers), Gastric Cancer Management and Outcomes (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Robot Manipulation and Learning (6 papers), Lung Cancer Treatments and Mutations (6 papers), Lung Cancer Research Studies (4 papers) and Reinforcement Learning in Robotics (4 papers). The work is most often cited by research in Cancer Research (160 citations), Pulmonary and Respiratory Medicine (263 citations), Oncology (148 citations), Radiology, Nuclear Medicine and Imaging (99 citations) and Molecular Biology (234 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, Xin Sun, Nan Bi, Qinfu Feng, Zongmei Zhou, Jingjing Kang, Dongfu Chen and Jun Liang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Oncotarget, Journal of Thoracic Oncology, Frontiers in Oncology 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.

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