Ming Yao
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Pancreatic and Hepatic Oncology Research
- Peptidase Inhibition and Analysis
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- Cancer Genomics and Diagnostics
Papers in
-
- Lung Cancer Treatments and Mutations 14
- Oncology 14
- Lung Cancer Research Studies 5
- Cancer Immunotherapy and Biomarkers 4
- Colorectal Cancer Treatments and Studies 3
- Co-authors
- Kai Wang (10 shared papers)Kai Wang (5 shared papers)Songhui Zhao (2 shared papers)Hui Chen (3 shared papers)Aodi Wang (6 shared papers)Xiaowei Dong (5 shared papers)Minghui Wang (1 shared paper)Shiwang Wen (1 shared paper)
- Journals
- Annals of Oncology (5 papers)Journal of Clinical Oncology (4 papers)Journal of Thoracic Oncology (4 papers)The Oncologist (4 papers)Cancer Research (3 papers)
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Ming Yao
33 papers receiving 490 citations
Peers
Comparison fields: 5 of 51
- Oncology 224
- Cancer Research 105
- Pulmonary and Respiratory Medicine 178
- Pathology and Forensic Medicine 51
- Surgery 113
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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 91 | |
| 2 | 2021 | 67 | |
| 3 | 2018 | 52 | |
| 4 | 2019 | 48 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 36 | |
| 7 | 2010 | 24 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 16 | |
| 10 | 2017 | 15 | |
| 11 | 2019 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 7 | |
| 17 | 2019 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2018 | 2 | |
| 20 | 2018 | 2 |
About Ming Yao
Ming Yao is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Surgery and Molecular Biology, having authored 36 papers that have together received 495 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (14 papers), Cancer Genomics and Diagnostics (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Lung Cancer Research Studies (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Genetic factors in colorectal cancer (4 papers), RNA modifications and cancer (4 papers) and Colorectal Cancer Treatments and Studies (3 papers). The work is most often cited by research in Oncology (224 citations), Cancer Research (105 citations), Pulmonary and Respiratory Medicine (178 citations), Pathology and Forensic Medicine (51 citations) and Surgery (113 citations). Ming Yao has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Kai Wang, Kai Wang, Songhui Zhao, Hui Chen, Aodi Wang, Xiaowei Dong, Minghui Wang, Shiwang Wen, Lei Dai and Yanfei Yu. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Journal of Thoracic Oncology, The Oncologist 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.