Lu Li
- Developmental Neuroscience top 2%
- Cancer Research top 2%
- MicroRNA in disease regulation 26
- Cancer-related molecular mechanisms research 14
- Cancer, Hypoxia, and Metabolism 10
- Neurology top 5%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 14
- RNA modifications and cancer 12
- Cancer-related gene regulation 7
- Pluripotent Stem Cells Research 7
- Genetics top 5%
- Mesenchymal stem cell research 8
- Co-authors
- Lee Anna CunninghamWai‐Yee ChanVassilios PapadopoulosDandan CaoErzsebet KokovayBifeng ChenXuekun LiKate M. Candelario
- Journals
- International Journal of Molecular Sciences (5 papers)Scientific Reports (2 papers)European Journal of Pharmacology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Li
124 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 140
- Developmental Neuroscience 254
- Cancer Research 753
- Neurology 263
- Molecular Biology 1.5k
- Genetics 191
Countries citing papers authored by Lu Li
This map shows the geographic impact of Lu Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Li more than expected).
Fields of papers citing papers by Lu Li
This network shows the impact of papers produced by Lu Li. 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 Li. The network helps show where Lu Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lu Li, 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 | 1 | |
| 4 | 2025 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 6 | |
| 12 | 2023 | 7 | |
| 13 | 2022 | 2 | |
| 14 | 2021 | 18 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 29 | |
| 17 | 2018 | 27 | |
| 18 | 2018 | 12 | |
| 19 | Impact of miR-221 on Mouse Mammary Epithelial Cells and Lactation | 2009 | 3 |
| 20 | A technique for field collecting and laboratory rearing red imported fire ant, Solenopsis invicta. | 2006 | 8 |
About Lu Li
Lu Li is a scholar working on Cancer Research, Developmental Neuroscience, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 131 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (26 papers), Cancer-related molecular mechanisms research (14 papers), Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (12 papers), Cancer, Hypoxia, and Metabolism (10 papers), Mesenchymal stem cell research (8 papers), Cancer-related gene regulation (7 papers) and Pluripotent Stem Cells Research (7 papers). The work is most often cited by research in Developmental Neuroscience (254 citations), Cancer Research (753 citations), Neurology (263 citations), Molecular Biology (1.5k citations) and Genetics (191 citations). Lu Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lee Anna Cunningham, Wai‐Yee Chan, Vassilios Papadopoulos, Dandan Cao, Erzsebet Kokovay, Bifeng Chen, Xuekun Li, Kate M. Candelario, Basam Z. Barkho and Xinyu Zhao. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, European Journal of Pharmacology, Saudi Journal of Biological Sciences and Journal of Cerebral Blood Flow & Metabolism.
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.