Hai‐Yan Tu
Impact in
- Oncology top 1%
- Cancer Immunotherapy and Biomarkers
- Lung Cancer Research Studies
- Colorectal Cancer Treatments and Studies
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Brain Metastases and Treatment
- Ferroptosis and cancer prognosis
Papers in
-
- Lung Cancer Treatments and Mutations 85
- Lung Cancer Diagnosis and Treatment 21
- Gastric Cancer Management and Outcomes 9
- Oncology 72
- Lung Cancer Research Studies 29
- Colorectal Cancer Treatments and Studies 25
- Cancer Immunotherapy and Biomarkers 17
- HER2/EGFR in Cancer Research 8
Hai‐Yan Tu
102 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Oncology 2.2k
- Pulmonary and Respiratory Medicine 2.4k
- Cancer Research 716
- Immunology 332
- Molecular Biology 695
Countries citing papers authored by Hai‐Yan Tu
This map shows the geographic impact of Hai‐Yan Tu'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 Hai‐Yan Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai‐Yan Tu more than expected).
Fields of papers citing papers by Hai‐Yan Tu
This network shows the impact of papers produced by Hai‐Yan Tu. 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 Hai‐Yan Tu. The network helps show where Hai‐Yan Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai‐Yan Tu, 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 | 13 | |
| 3 | 2025 | 10 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 18 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 4 | |
| 11 | 2021 | 19 | |
| 12 | 2021 | 144 | |
| 13 | 2018 | 17 | |
| 14 | 2017 | 1 | |
| 15 | 2017 | 1 | |
| 16 | Potential Predictive Value of TP53 and KRAS Mutation Status for Response to PD-1 Blockade Immunotherapy in Lung Adenocarcinoma Hit paper breakdown → | 2016 | 741 |
| 17 | 2016 | 211 | |
| 18 | 2016 | 40 | |
| 19 | 2015 | 2 | |
| 20 | 2015 | 9 |
About Hai‐Yan Tu
Hai‐Yan Tu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Cancer Research, Transplantation and Genetics, having authored 114 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (85 papers), Lung Cancer Research Studies (29 papers), Colorectal Cancer Treatments and Studies (25 papers), Cancer Genomics and Diagnostics (22 papers), Lung Cancer Diagnosis and Treatment (21 papers), Cancer Immunotherapy and Biomarkers (17 papers), Gastric Cancer Management and Outcomes (9 papers) and HER2/EGFR in Cancer Research (8 papers). The work is most often cited by research in Oncology (2.2k citations), Pulmonary and Respiratory Medicine (2.4k citations), Cancer Research (716 citations), Immunology (332 citations) and Molecular Biology (695 citations). Hai‐Yan Tu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yi‐Long Wu, Jin‐Ji Yang, Qing Zhou, Wen‐Zhao Zhong, Jian Su, Hong‐Hong Yan, Xu‐Chao Zhang, Zhi Xie, Zhong‐Yi Dong and Li‐Xu Yan. Their work appears in journals such as Journal of Thoracic Oncology, Journal of Clinical Oncology, Annals of Oncology, Clinical Lung Cancer and Lung Cancer.
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.