Lu Li
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Epigenetics and DNA Methylation 14
- RNA modifications and cancer 12
- Pluripotent Stem Cells Research 7
-
- MicroRNA in disease regulation 22
- Cancer-related molecular mechanisms research 11
- Cancer, Hypoxia, and Metabolism 9
- Co-authors
- Lee Anna Cunningham (8 shared papers)Wai‐Yee Chan (5 shared papers)Vassilios Papadopoulos (7 shared papers)Dandan Cao (1 shared paper)Erzsebet Kokovay (1 shared paper)Bifeng Chen (3 shared papers)Basam Z. Barkho (1 shared paper)Xuekun Li (1 shared paper)
- Journals
- International Journal of Molecular Sciences (5 papers)PeerJ (2 papers)Frontiers in Oncology (2 papers)Ecotoxicology and Environmental Safety (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lu Li
134 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 140
- Developmental Neuroscience 247
- Cancer Research 677
- Neurology 249
- Molecular Biology 1.4k
- Genetics 192
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-authors
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
Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 175 | |
| 2 | 2016 | 162 | |
| 3 | 2013 | 124 | |
| 4 | 2005 | 121 | |
| 5 | 2007 | 96 | |
| 6 | 2014 | 85 | |
| 7 | 2012 | 84 | |
| 8 | 2008 | 83 | |
| 9 | 2010 | 82 | |
| 10 | 2005 | 77 | |
| 11 | 2020 | 71 | |
| 12 | 2020 | 67 | |
| 13 | 2014 | 65 | |
| 14 | 2016 | 64 | |
| 15 | 2021 | 60 | |
| 16 | 2019 | 58 | |
| 17 | 2014 | 55 | |
| 18 | 2011 | 55 | |
| 19 | 2013 | 52 | |
| 20 | 2015 | 49 |
About Lu Li
Lu Li is a scholar working on Molecular Biology, Cancer Research, Genetics, Surgery and Oncology, having authored 137 papers that have together received 3.1k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (12 papers), Cancer-related molecular mechanisms research (11 papers), Cancer, Hypoxia, and Metabolism (9 papers), Mesenchymal stem cell research (8 papers), Pluripotent Stem Cells Research (7 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Developmental Neuroscience (247 citations), Cancer Research (677 citations), Neurology (249 citations), Molecular Biology (1.4k citations) and Genetics (192 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, Basam Z. Barkho, Xuekun Li, Xinyu Zhao and David B. Sacks. Their work appears in journals such as International Journal of Molecular Sciences, PeerJ, Frontiers in Oncology, Ecotoxicology and Environmental Safety and Scientific Reports.
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.