Wen‐Zhao Zhong
- Pulmonary and Respiratory Medicine top 0.2%
- Oncology top 0.5%
- Cancer Research top 1%
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Topics
- Lung Cancer Treatments and Mutations (148 papers)Lung Cancer Diagnosis and Treatment (95 papers)Lung Cancer Research Studies (48 papers)
- Journals
- Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Wen‐Zhao Zhong
210 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Pulmonary and Respiratory Medicine 4.5k
- Oncology 3.7k
- Cancer Research 1.4k
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 604
Countries citing papers authored by Wen‐Zhao Zhong
This map shows the geographic impact of Wen‐Zhao Zhong'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 Wen‐Zhao Zhong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen‐Zhao Zhong more than expected).
Fields of papers citing papers by Wen‐Zhao Zhong
This network shows the impact of papers produced by Wen‐Zhao Zhong. 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 Wen‐Zhao Zhong. The network helps show where Wen‐Zhao Zhong may publish in the future.
Co-authorship network of co-authors of Wen‐Zhao Zhong
This figure shows the co-authorship network connecting the top 25 collaborators of Wen‐Zhao Zhong. A scholar is included among the top collaborators of Wen‐Zhao Zhong 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 Wen‐Zhao Zhong. Wen‐Zhao Zhong 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 25 | |
| 11 | 23 | |
| 12 | Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinomabreakdown → | 120 |
| 13 | 2 | |
| 14 | 102 | |
| 15 | 144 | |
| 16 | 149 | |
| 17 | 17 | |
| 18 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinomabreakdown → | 741 |
| 19 | 135 | |
| 20 | 22 |
About Wen‐Zhao Zhong
Wen‐Zhao Zhong is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 231 papers that have together received 6.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (148 papers), Lung Cancer Diagnosis and Treatment (95 papers) and Lung Cancer Research Studies (48 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (4.5k citations), Oncology (3.7k citations) and Cancer Research (1.4k citations). Wen‐Zhao Zhong has collaborated with scholars based in China, United States and India. Frequent co-authors include Yi‐Long Wu, Qing Zhou, Jian Su, Xu‐Chao Zhang, Jin‐Ji Yang, Hong‐Hong Yan, Xue‐Ning Yang, Chao Zhang, Hai‐Yan Tu and Zhi Xie. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.