Lin Lu
Impact in
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- Acupuncture Treatment Research Studies
- Traditional Chinese Medicine Analysis
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neurological Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- RNA modifications and cancer 2
- Cancer-related gene regulation 2
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- Functional Brain Connectivity Studies 4
- Autism Spectrum Disorder Research 3
- Co-authors
- Guo‐qing Zheng (4 shared papers)Chenglong Xie (1 shared paper)Deng-lei Fu (2 shared papers)Xiangdong Tang (4 shared papers)Ye Zhang (4 shared papers)Rong Ren (4 shared papers)Larry D. Sanford (2 shared papers)Bingqian Liu (1 shared paper)
- Journals
- BMC Public Health (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Frontiers in Psychiatry (1 paper)Sleep Medicine Reviews (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Lin Lu
32 papers receiving 643 citations
Peers
Comparison fields: 5 of 93
- Complementary and alternative medicine 130
- Neurology 100
- Cognitive Neuroscience 170
- Neurology 97
- Experimental and Cognitive Psychology 71
Countries citing papers authored by Lin Lu
This map shows the geographic impact of Lin 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 Lin Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Lu more than expected).
Fields of papers citing papers by Lin Lu
This network shows the impact of papers produced by Lin 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 Lin Lu. The network helps show where Lin Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2014 | 86 | |
| 3 | 2012 | 81 | |
| 4 | 2021 | 60 | |
| 5 | 2015 | 52 | |
| 6 | 2019 | 34 | |
| 7 | 2013 | 30 | |
| 8 | 2018 | 20 | |
| 9 | 2020 | 18 | |
| 10 | 2014 | 18 | |
| 11 | 2021 | 17 | |
| 12 | 2016 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2024 | 10 | |
| 18 | 2022 | 9 | |
| 19 | 2017 | 8 | |
| 20 | 2023 | 7 |
About Lin Lu
Lin Lu is a scholar working on Molecular Biology, Cognitive Neuroscience, Epidemiology, Radiology, Nuclear Medicine and Imaging and Clinical Psychology, having authored 36 papers that have together received 648 indexed citations. Recurring topics across this work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers), Autism Spectrum Disorder Research (3 papers), Endometrial and Cervical Cancer Treatments (2 papers), Hepatitis B Virus Studies (2 papers), RNA modifications and cancer (2 papers), Cancer-related gene regulation (2 papers) and Plant-based Medicinal Research (2 papers). The work is most often cited by research in Complementary and alternative medicine (130 citations), Neurology (100 citations), Cognitive Neuroscience (170 citations), Neurology (97 citations) and Experimental and Cognitive Psychology (71 citations). Lin Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guo‐qing Zheng, Chenglong Xie, Deng-lei Fu, Xiangdong Tang, Ye Zhang, Rong Ren, Larry D. Sanford, Bingqian Liu, Junying Zhou and Jie Shi. Their work appears in journals such as BMC Public Health, PLoS ONE, Scientific Reports, Frontiers in Psychiatry and Sleep Medicine Reviews.
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.