Xinlan Li
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
Papers in
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- S100 Proteins and Annexins 2
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- Hepatitis B Virus Studies 3
- Co-authors
- Jason D. Huber (8 shared papers)Charles L. Rosen (8 shared papers)Vincent DiNapoli (1 shared paper)Zhenjun Tan (5 shared papers)Jong-Gyu Park (1 shared paper)Rachel L. León (2 shared papers)Kimberly A. Kelly (2 shared papers)Ryan C. Turner (4 shared papers)
- Journals
- European Journal of Pharmacology (2 papers)Brain Research (2 papers)Emerging Markets Review (2 papers)International Journal of Consumer Studies (1 paper)Vector-Borne and Zoonotic Diseases (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Xinlan Li
31 papers receiving 631 citations
Peers
Comparison fields: 5 of 124
- Neurology 208
- Developmental Neuroscience 26
- Physiology 20
- Biological Psychiatry 11
- Molecular Medicine 18
Countries citing papers authored by Xinlan Li
This map shows the geographic impact of Xinlan 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 Xinlan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinlan Li more than expected).
Fields of papers citing papers by Xinlan Li
This network shows the impact of papers produced by Xinlan 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 Xinlan Li. The network helps show where Xinlan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xinlan 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 138 | |
| 2 | 2013 | 53 | |
| 3 | 2011 | 47 | |
| 4 | 2009 | 46 | |
| 5 | 2016 | 39 | |
| 6 | 2012 | 36 | |
| 7 | 2020 | 32 | |
| 8 | 2013 | 31 | |
| 9 | 2015 | 28 | |
| 10 | 2009 | 25 | |
| 11 | 2000 | 23 | |
| 12 | 2014 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2021 | 17 | |
| 15 | 2019 | 16 | |
| 16 | Modeling and Parameter Identification of Coal Mill | 2009 | 14 |
| 17 | 2023 | 11 | |
| 18 | 2013 | 10 | |
| 19 | 2024 | 6 | |
| 20 | 2016 | 5 |
About Xinlan Li
Xinlan Li is a scholar working on Molecular Biology, Epidemiology, Electrical and Electronic Engineering, Neurology and Hepatology, having authored 39 papers that have together received 646 indexed citations. Recurring topics across this work include Hepatitis Viruses Studies and Epidemiology (4 papers), Digital Marketing and Social Media (3 papers), Hepatitis B Virus Studies (3 papers), Advanced DC-DC Converters (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Multilevel Inverters and Converters (3 papers), Silicon Carbide Semiconductor Technologies (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (208 citations), Developmental Neuroscience (26 citations), Physiology (20 citations), Biological Psychiatry (11 citations) and Molecular Medicine (18 citations). Xinlan Li has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Jason D. Huber, Charles L. Rosen, Vincent DiNapoli, Zhenjun Tan, Jong-Gyu Park, Rachel L. León, Kimberly A. Kelly, Ryan C. Turner, Chang-Hong Li and Aric F. Logsdon. Their work appears in journals such as European Journal of Pharmacology, Brain Research, Emerging Markets Review, International Journal of Consumer Studies and Vector-Borne and Zoonotic Diseases.
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.