Ming Ye

5.2k citations
56 papers · 811 · h-index 16

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies

Papers in

Ming Ye

55 papers receiving 804 citations

Peers

Ming Ye
Comparison fields: 5 of 85
  • Otorhinolaryngology 73
  • Oncology 220
  • Pulmonary and Respiratory Medicine 220
  • Cancer Research 100
  • Surgery 136
Replace Eun Sook Nam with:
Eun Sook Nam South Korea
Xiaoshun Shi China
Xiaoning Luo China
Bartłomiej Tomasik Poland
Rajarsi Mandal United States
Ik Joon Choi South Korea
Kenneth C.W. Wong Hong Kong
Zhifeng Yao China
Ching-Mei Chen Taiwan
Ming Ye relative to Eun Sook Nam South Korea Eun Sook Nam's profile →
Citations per field
00.5×2.8×
Eun Sook Nam · 1×
Citations per year

Countries citing papers authored by Ming Ye

Since Specialization
Citations

This map shows the geographic impact of Ming Ye'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 Ming Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ye more than expected).

Fields of papers citing papers by Ming Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ye. 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 Ming Ye. The network helps show where Ming Ye may publish in the future.

Co-authors

The 25 scholars most cited alongside Ming Ye, 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 Ming Ye Line = papers co-authored together Ming Ye links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017115
2 200780
3 201266
4 201151
5 201647
6 200932
7 200931
8 201728
9 201625
10 201324
11 201924
12 201321
13 201720
14 201819
15 201718
16 201715
17
Prognostic significance of discoidin domain receptor 2 (DDR2) expression in ovarian cancer.
201615
18 201514
19 202313
20 201213

About Ming Ye

Ming Ye is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 56 papers that have together received 811 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (7 papers), Esophageal Cancer Research and Treatment (5 papers), Head and Neck Cancer Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), MicroRNA in disease regulation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Otorhinolaryngology (73 citations), Oncology (220 citations), Pulmonary and Respiratory Medicine (220 citations), Cancer Research (100 citations) and Surgery (136 citations). Ming Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Bin Wu, Yongrui Bai, Chengtao Wang, Weili Yan, Gang Huang, Tao Liu, Huafeng Chen, Wen Xu, Shun Lü and Jie Fu. Their work appears in journals such as Journal of Clinical Oncology, BioMed Research International, Journal of Radiation Research, Radiotherapy and Oncology and Medical Physics.

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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