Lu Dai
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Chronic Myeloid Leukemia Treatments 4
-
- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Co-authors
- Lauren B. TolliverMark G. SlomianyBryan P. TooleRalph B. ArlinghausJiaxin LiuG. Daniel GrassYiping ZengYun Wu
- Journals
- Chemical Communications (3 papers)Journal of Chromatography A (3 papers)Nature Communications (2 papers)Journal of Biological Chemistry (2 papers)Fish & Shellfish Immunology (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Lu Dai
67 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 113
- Hematology 153
- Cancer Research 184
- Organic Chemistry 295
- Genetics 101
- Molecular Biology 570
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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 1 | |
| 13 | 2018 | 6 | |
| 14 | 2017 | 15 | |
| 15 | 2014 | 49 | |
| 16 | 2013 | 32 | |
| 17 | 2010 | 50 | |
| 18 | 2009 | 37 | |
| 19 | Identified circadian rhythm genes of ciliary epithelium with differential display. | 2001 | 1 |
| 20 | 1999 | 32 |
About Lu Dai
Lu Dai is a scholar working on Hematology, Cancer Research, Applied Microbiology and Biotechnology, Microbiology and Molecular Biology, having authored 74 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Chronic Myeloid Leukemia Treatments (4 papers), Circular RNAs in diseases (4 papers), Catalytic C–H Functionalization Methods (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Synthesis and Catalytic Reactions (3 papers). The work is most often cited by research in Hematology (153 citations), Cancer Research (184 citations), Organic Chemistry (295 citations), Genetics (101 citations) and Molecular Biology (570 citations). Lu Dai has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Lauren B. Tolliver, Mark G. Slomiany, Bryan P. Toole, Ralph B. Arlinghaus, Jiaxin Liu, G. Daniel Grass, Yiping Zeng, Yun Wu, Pingping Duan and Dongqi Wang. Their work appears in journals such as Chemical Communications, Journal of Chromatography A, Nature Communications, Journal of Biological Chemistry and Fish & Shellfish Immunology.
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.