Danlei Yu
Impact in
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- Lung Cancer Treatments and Mutations
Papers in
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- Cancer therapeutics and mechanisms 2
- RNA Research and Splicing 1
- DNA Repair Mechanisms 1
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- Lung Cancer Treatments and Mutations 6
- Co-authors
- Shi‐Yong Sun (6 shared papers)Young‐Bae Ko (2 shared papers)Feng Li (1 shared paper)Zhen Chen (3 shared papers)Suresh S. Ramalingam (3 shared papers)Taofeek K. Owonikoko (2 shared papers)Kai Zhang (1 shared paper)Yufeng Xie (1 shared paper)
- Journals
- Cancer Letters (2 papers)Oncogene (1 paper)Journal of the Neurological Sciences (1 paper)Drug Resistance Updates (1 paper)Neoplasia (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Danlei Yu
12 papers receiving 218 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 32
- Pulmonary and Respiratory Medicine 60
- Oncology 45
- Computer Networks and Communications 35
- Biomaterials 18
Countries citing papers authored by Danlei Yu
This map shows the geographic impact of Danlei Yu'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 Danlei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danlei Yu more than expected).
Fields of papers citing papers by Danlei Yu
This network shows the impact of papers produced by Danlei Yu. 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 Danlei Yu. The network helps show where Danlei Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danlei Yu, 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 | 2023 | 53 | |
| 2 | 2021 | 41 | |
| 3 | FFRDV: Fastest-Ferry Routing in DTN-enabled Vehicular Ad Hoc Networks | 2009 | 33 |
| 4 | 2016 | 30 | |
| 5 | 2021 | 29 | |
| 6 | 2021 | 18 | |
| 7 | 2021 | 14 | |
| 8 | The novel MET inhibitor, HQP8361, possesses single agent activity and enhances therapeutic efficacy of AZD9291 (osimertinib) against AZD9291-resistant NSCLC cells with activated MET. | 2020 | 8 |
| 9 | 2009 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2025 | 1 |
About Danlei Yu
Danlei Yu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Oncology and Computer Networks and Communications, having authored 12 papers that have together received 231 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (6 papers), Cancer Mechanisms and Therapy (3 papers), Cancer therapeutics and mechanisms (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Mobile Ad Hoc Networks (2 papers), RNA Research and Splicing (1 paper), Lung Cancer Research Studies (1 paper) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (32 citations), Pulmonary and Respiratory Medicine (60 citations), Oncology (45 citations), Computer Networks and Communications (35 citations) and Biomaterials (18 citations). Danlei Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shi‐Yong Sun, Young‐Bae Ko, Feng Li, Zhen Chen, Suresh S. Ramalingam, Taofeek K. Owonikoko, Kai Zhang, Yufeng Xie, Xuefeng Xia and Qiang Li. Their work appears in journals such as Cancer Letters, Oncogene, Journal of the Neurological Sciences, Drug Resistance Updates and Neoplasia.
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.