Li Lu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Cognitive Neuroscience top 2%
- Memory and Neural Mechanisms
- Neural dynamics and brain function
- Sleep and Wakefulness Research
Papers in
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- Neuroscience and Neuropharmacology Research 11
- Neuropeptides and Animal Physiology 5
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- Ubiquitin and proteasome pathways 7
- Co-authors
- Edvard Ingjald Moser (6 shared papers)May‐Britt Moser (6 shared papers)Kei M. Igarashi (2 shared papers)Laura Lee Colgin (1 shared paper)Albert Tsao (2 shared papers)Cheng Wang (1 shared paper)Jørgen Sugar (1 shared paper)James J. Knierim (1 shared paper)
- Journals
- European Journal of Pharmacology (3 papers)Stem Cells (3 papers)Scientific Reports (3 papers)Nature (2 papers)Nature Neuroscience (2 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Li Lu
102 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 148
- Cellular and Molecular Neuroscience 842
- Cognitive Neuroscience 834
- Developmental Neuroscience 125
- Sensory Systems 119
- Toxicology 80
Countries citing papers authored by Li Lu
This map shows the geographic impact of Li Lu'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 Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Lu more than expected).
Fields of papers citing papers by Li Lu
This network shows the impact of papers produced by Li Lu. 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 Lu. The network helps show where Li Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Lu, 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 315 | |
| 2 | 2018 | 313 | |
| 3 | 2021 | 220 | |
| 4 | 2011 | 140 | |
| 5 | 2010 | 120 | |
| 6 | 2020 | 113 | |
| 7 | 2015 | 112 | |
| 8 | 1989 | 96 | |
| 9 | 2007 | 96 | |
| 10 | 2013 | 84 | |
| 11 | 2007 | 81 | |
| 12 | 2021 | 70 | |
| 13 | 2010 | 65 | |
| 14 | 2019 | 65 | |
| 15 | 2019 | 56 | |
| 16 | 2004 | 53 | |
| 17 | 2009 | 52 | |
| 18 | 2019 | 52 | |
| 19 | 2007 | 50 | |
| 20 | 2009 | 45 |
About Li Lu
Li Lu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Developmental Neuroscience, Neurology and Cell Biology, having authored 111 papers that have together received 3.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (11 papers), Ubiquitin and proteasome pathways (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Memory and Neural Mechanisms (6 papers), Neuropeptides and Animal Physiology (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Multiple Myeloma Research and Treatments (5 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (842 citations), Cognitive Neuroscience (834 citations), Developmental Neuroscience (125 citations), Sensory Systems (119 citations) and Toxicology (80 citations). Li Lu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Edvard Ingjald Moser, May‐Britt Moser, Kei M. Igarashi, Laura Lee Colgin, Albert Tsao, Cheng Wang, Jørgen Sugar, James J. Knierim, Chung Owyang and Dexter S. Louie. Their work appears in journals such as European Journal of Pharmacology, Stem Cells, Scientific Reports, Nature and Nature Neuroscience.
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.