Li Lai
Impact in
- Toxicology top 2%
- Bioactive Compounds and Antitumor Agents
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
Papers in ⓘ
-
- Angiogenesis and VEGF in Cancer 4
- Wnt/β-catenin signaling in development and cancer 3
- Epigenetics and DNA Methylation 3
- Natural product bioactivities and synthesis 2
- Oncology 7
- Co-authors
- Mingyao Liu (10 shared papers)Zhengfang Yi (7 shared papers)Yanmin Dong (4 shared papers)Yihua Chen (4 shared papers)Yeong‐Hau H. Lien (2 shared papers)John P. Cooke (9 shared papers)Dong Zhai (3 shared papers)Dali Li (3 shared papers)
- Journals
- Carcinogenesis (2 papers)OncoTargets and Therapy (2 papers)Circulation (2 papers)The International Journal of Advanced Manufacturing Technology (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Li Lai
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Toxicology 98
- Cancer Research 212
- Molecular Biology 721
- Oncology 217
- Genetics 169
Countries citing papers authored by Li Lai
This map shows the geographic impact of Li Lai'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 Li Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lai more than expected).
Fields of papers citing papers by Li Lai
This network shows the impact of papers produced by Li Lai. 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 Li Lai. The network helps show where Li Lai may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 145 | |
| 2 | 2018 | 88 | |
| 3 | 2012 | 86 | |
| 4 | 2013 | 81 | |
| 5 | 2011 | 71 | |
| 6 | 2012 | 70 | |
| 7 | 2011 | 70 | |
| 8 | 1998 | 67 | |
| 9 | 2017 | 64 | |
| 10 | 1985 | 57 | |
| 11 | 2020 | 42 | |
| 12 | 2018 | 38 | |
| 13 | 2011 | 28 | |
| 14 | Liposome-mediated gene transfer into the tubules. | 1997 | 26 |
| 15 | 2018 | 22 | |
| 16 | 2020 | 21 | |
| 17 | 2020 | 21 | |
| 18 | Gene therapy for renal diseases. | 1997 | 19 |
| 19 | 2014 | 17 | |
| 20 | 2020 | 16 |
About Li Lai
Li Lai is a scholar working on Molecular Biology, Oncology, Genetics, Cancer Research and Physiology, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Bioactive Compounds and Antitumor Agents (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cell Image Analysis Techniques (2 papers), Natural product bioactivities and synthesis (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Toxicology (98 citations), Cancer Research (212 citations), Molecular Biology (721 citations), Oncology (217 citations) and Genetics (169 citations). Li Lai has collaborated with scholars based in United States and China. Frequent co-authors include Mingyao Liu, Zhengfang Yi, Yanmin Dong, Yihua Chen, Yeong‐Hau H. Lien, John P. Cooke, Dong Zhai, Dali Li, Fujun Dai and Yuanyuan Wu. Their work appears in journals such as Carcinogenesis, OncoTargets and Therapy, Circulation, The International Journal of Advanced Manufacturing Technology and Nature Communications.
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.