Wen‐Zhao Zhong
- Pulmonary and Respiratory Medicine top 0.2%
- Lung Cancer Treatments and Mutations 148
- Lung Cancer Diagnosis and Treatment 95
- Oncology top 0.5%
- Lung Cancer Research Studies 48
- Cancer Immunotherapy and Biomarkers 28
- Colorectal Cancer Treatments and Studies 23
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 45
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- Radiomics and Machine Learning in Medical Imaging 32
- Immunology top 5%
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- Cholangiocarcinoma and Gallbladder Cancer Studies 13
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (18 papers)SHILAP Revista de lepidopterología (8 papers)
- 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
- Radiology, Nuclear Medicine and Imaging 604
- Immunology 472
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
The 25 scholars most cited alongside Wen‐Zhao Zhong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 25 | |
| 11 | 2023 | 23 | |
| 12 | Single-cell transcriptome analysis revealed a suppressive tumor immune microenvironment in EGFR mutant lung adenocarcinomabreakdown → | 2022 | 120 |
| 13 | 2022 | 2 | |
| 14 | 2021 | 102 | |
| 15 | 2021 | 144 | |
| 16 | 2018 | 149 | |
| 17 | 2018 | 17 | |
| 18 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinomabreakdown → | 2016 | 741 |
| 19 | 2014 | 135 | |
| 20 | 2013 | 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), Lung Cancer Research Studies (48 papers), Cancer Genomics and Diagnostics (45 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), Cancer Immunotherapy and Biomarkers (28 papers), Colorectal Cancer Treatments and Studies (23 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (13 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.