Xue‐Ning Yang
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Cancer Research top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Topics
- Lung Cancer Treatments and Mutations (79 papers)Lung Cancer Diagnosis and Treatment (58 papers)Lung Cancer Research Studies (26 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaClinical Cancer Research
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xue‐Ning Yang
112 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Pulmonary and Respiratory Medicine 2.1k
- Oncology 1.7k
- Cancer Research 712
- Molecular Biology 656
- Radiology, Nuclear Medicine and Imaging 181
Countries citing papers authored by Xue‐Ning Yang
This map shows the geographic impact of Xue‐Ning Yang'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 Xue‐Ning Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xue‐Ning Yang more than expected).
Fields of papers citing papers by Xue‐Ning Yang
This network shows the impact of papers produced by Xue‐Ning Yang. 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 Xue‐Ning Yang. The network helps show where Xue‐Ning Yang may publish in the future.
Co-authorship network of co-authors of Xue‐Ning Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Xue‐Ning Yang. A scholar is included among the top collaborators of Xue‐Ning Yang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xue‐Ning Yang. Xue‐Ning Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades | 31 |
| 13 | 12 | |
| 14 | 1 | |
| 15 | 75 | |
| 16 | 17 | |
| 17 | 66 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinomabreakdown → | 741 |
About Xue‐Ning Yang
Xue‐Ning Yang is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 121 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (79 papers), Lung Cancer Diagnosis and Treatment (58 papers) and Lung Cancer Research Studies (26 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (2.1k citations), Oncology (1.7k citations) and Cancer Research (712 citations). Xue‐Ning Yang has collaborated with scholars based in China, United States and India. Frequent co-authors include Yi‐Long Wu, Wen‐Zhao Zhong, Qing Zhou, Jin‐Ji Yang, Xu‐Chao Zhang, Hong‐Hong Yan, Jian Su, Hai‐Yan Tu, Zhi Xie and Hua‐Jun Chen. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical 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.