Ming Yao
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Lung Cancer Research Studies
- Peptidase Inhibition and Analysis
-
- Cancer Genomics and Diagnostics
Papers in
-
- Lung Cancer Treatments and Mutations 16
- Oncology 18
- Lung Cancer Research Studies 6
- Cancer Immunotherapy and Biomarkers 5
- Colorectal Cancer Treatments and Studies 4
- Co-authors
- Kai Wang (10 shared papers)Kai Wang (5 shared papers)Hui Chen (3 shared papers)Aodi Wang (6 shared papers)Songhui Zhao (2 shared papers)Xiaowei Dong (5 shared papers)Li Liu (1 shared paper)Yanfei Yu (2 shared papers)
- Journals
- Annals of Oncology (5 papers)Journal of Thoracic Oncology (4 papers)The Oncologist (4 papers)Journal of Clinical Oncology (4 papers)Cancer Research (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ming Yao
32 papers receiving 476 citations
Peers
Comparison fields: 5 of 54
- Oncology 287
- Cancer Research 156
- Pulmonary and Respiratory Medicine 217
- Pathology and Forensic Medicine 77
- Surgery 128
Countries citing papers authored by Ming Yao
This map shows the geographic impact of Ming Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yao more than expected).
Fields of papers citing papers by Ming Yao
This network shows the impact of papers produced by Ming Yao. 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 Yao. The network helps show where Ming Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 89 | |
| 2 | 2021 | 62 | |
| 3 | 2018 | 52 | |
| 4 | 2019 | 45 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 36 | |
| 7 | 2010 | 24 | |
| 8 | 2021 | 15 | |
| 9 | 2017 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 10 | |
| 16 | 2020 | 7 | |
| 17 | 2025 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2018 | 2 | |
| 20 | 2020 | 2 |
About Ming Yao
Ming Yao is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Surgery and Molecular Biology, having authored 35 papers that have together received 481 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Lung Cancer Treatments and Mutations (16 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Lung Cancer Research Studies (6 papers), Genetic factors in colorectal cancer (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Oncology (287 citations), Cancer Research (156 citations), Pulmonary and Respiratory Medicine (217 citations), Pathology and Forensic Medicine (77 citations) and Surgery (128 citations). Ming Yao has collaborated with scholars based in China and United States. Frequent co-authors include Kai Wang, Kai Wang, Hui Chen, Aodi Wang, Songhui Zhao, Xiaowei Dong, Li Liu, Yanfei Yu, Juan Zhao and Minghui Wang. Their work appears in journals such as Annals of Oncology, Journal of Thoracic Oncology, The Oncologist, Journal of Clinical Oncology and Cancer Research.
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.