Lingling Lu
Impact in
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments
- Developmental Neuroscience top 5%
Papers in
- Neurology 23
- Parkinson's Disease Mechanisms and Treatments 22
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- Hepatocellular Carcinoma Treatment and Prognosis 9
- Co-authors
- Chunli Duan (20 shared papers)Hui Yang (14 shared papers)Chunli Zhao (11 shared papers)Toshitaka Nabeshima (9 shared papers)Huanying Zhao (10 shared papers)Ge Gao (8 shared papers)Jia Liu (5 shared papers)Yongquan Lu (5 shared papers)
- Journals
- Behavioural Brain Research (4 papers)Molecular Neurobiology (3 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Vaccine (2 papers)Frontiers in Bioscience-Landmark (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Lingling Lu
124 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 131
- Neurology 616
- Developmental Neuroscience 122
- Neurology 188
- Biological Psychiatry 25
- Cellular and Molecular Neuroscience 262
Countries citing papers authored by Lingling Lu
This map shows the geographic impact of Lingling 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 Lingling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingling Lu more than expected).
Fields of papers citing papers by Lingling Lu
This network shows the impact of papers produced by Lingling 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 Lingling Lu. The network helps show where Lingling Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingling 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 132 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 257 | |
| 2 | 2018 | 210 | |
| 3 | 2014 | 120 | |
| 4 | 2015 | 113 | |
| 5 | 2012 | 111 | |
| 6 | 2013 | 101 | |
| 7 | 2021 | 93 | |
| 8 | 2009 | 87 | |
| 9 | 2013 | 85 | |
| 10 | 2005 | 78 | |
| 11 | 2009 | 73 | |
| 12 | 2014 | 68 | |
| 13 | 2017 | 67 | |
| 14 | 2011 | 65 | |
| 15 | 2017 | 63 | |
| 16 | 2017 | 63 | |
| 17 | 2009 | 61 | |
| 18 | 2011 | 58 | |
| 19 | 2016 | 54 | |
| 20 | 2011 | 49 |
About Lingling Lu
Lingling Lu is a scholar working on Neurology, Hepatology, Ocean Engineering, Epidemiology and Developmental Neuroscience, having authored 132 papers that have together received 3.3k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (22 papers), Hepatitis B Virus Studies (12 papers), Coal Properties and Utilization (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Cardiac electrophysiology and arrhythmias (6 papers), Anesthesia and Neurotoxicity Research (5 papers), Groundwater and Isotope Geochemistry (4 papers) and Schizophrenia research and treatment (4 papers). The work is most often cited by research in Neurology (616 citations), Developmental Neuroscience (122 citations), Neurology (188 citations), Biological Psychiatry (25 citations) and Cellular and Molecular Neuroscience (262 citations). Lingling Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chunli Duan, Hui Yang, Chunli Zhao, Toshitaka Nabeshima, Huanying Zhao, Ge Gao, Jia Liu, Yongquan Lu, Ping Lü and Chen Guo. Their work appears in journals such as Behavioural Brain Research, Molecular Neurobiology, Journal of Cerebral Blood Flow & Metabolism, Vaccine and Frontiers in Bioscience-Landmark.
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.