Lu Dai
- Virology top 5%
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 6
- Oncology top 5%
- Viral-associated cancers and disorders 38
- Immunology top 10%
- Immune Cell Function and Interaction 12
- Molecular Biology top 10%
- RNA modifications and cancer 8
- Sphingolipid Metabolism and Signaling 7
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- Cytomegalovirus and herpesvirus research 24
- Herpesvirus Infections and Treatments 6
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- Lymphoma Diagnosis and Treatment 10
- Co-authors
- Zhiqiang QinChris ParsonsBryan P. TooleWenfan FuLuis Del ValleJian ZhaoJun YinHongxia Xi
- Cited by
- VirologyCancer ResearchOncology
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lu Dai
132 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Virology 140
- Cancer Research 391
- Oncology 622
- Immunology 423
- Molecular Biology 1.2k
Countries citing papers authored by Lu Dai
This map shows the geographic impact of Lu Dai'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 Lu Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Dai more than expected).
Fields of papers citing papers by Lu Dai
This network shows the impact of papers produced by Lu Dai. 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 Lu Dai. The network helps show where Lu Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Dai, 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 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 8 | |
| 10 | 2022 | 8 | |
| 11 | Postoperative analgesic effects of various quadratus lumborum block approaches following cesarean section: a randomized controlled trial | 2019 | 2 |
| 12 | 2019 | 1 | |
| 13 | KSHV co-infection regulates HPV16+ cervical cancer cells pathogenesis in vitro and in vivo. | 2018 | 2 |
| 14 | 2017 | 27 | |
| 15 | 2017 | 3 | |
| 16 | 2013 | 54 | |
| 17 | Growth inhibition and apoptosis induction by Camellia chrysantha (Hu) Tuyama in human esophageal squamous carcinoma cells | 2013 | 1 |
| 18 | 2012 | 2 | |
| 19 | 2010 | 43 | |
| 20 | 2009 | 2 |
About Lu Dai
Lu Dai is a scholar working on Oncology, Applied Microbiology and Biotechnology and Immunology, having authored 138 papers that have together received 2.6k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (38 papers), Cytomegalovirus and herpesvirus research (24 papers), Immune Cell Function and Interaction (12 papers), Lymphoma Diagnosis and Treatment (10 papers), RNA modifications and cancer (8 papers), Sphingolipid Metabolism and Signaling (7 papers), Herpesvirus Infections and Treatments (6 papers) and Cancer-related molecular mechanisms research (6 papers). The work is most often cited by research in Virology (140 citations), Cancer Research (391 citations) and Oncology (622 citations). Lu Dai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhiqiang Qin, Chris Parsons, Bryan P. Toole, Wenfan Fu, Luis Del Valle, Jian Zhao, Jun Yin, Hongxia Xi, Zhong Li and Ying Wu. Their work appears in journals such as Oncotarget, Journal of Medical Virology, PLoS ONE, Cancer Letters and Oncogene.
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.