Lichao Yang
Impact in
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disorders and Treatments
- Developmental Neuroscience top 10%
Papers in
- Neurology 13
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Neurological Disorders and Treatments 7
-
- Nanoparticle-Based Drug Delivery 7
- Co-authors
- Peng Lu (17 shared papers)Xin Jin (12 shared papers)Yun Zhao (15 shared papers)San‐Gang Wu (9 shared papers)Xin Jin (11 shared papers)Wushuang Yang (7 shared papers)Han Guo (7 shared papers)Zhen‐Yu He (6 shared papers)
- Journals
- European Journal of Pharmacology (4 papers)Oncotarget (4 papers)Phytomedicine (2 papers)Experimental Gerontology (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Lichao Yang
53 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 83
- Neurology 171
- Developmental Neuroscience 30
- Biological Psychiatry 11
- Pharmacology 117
- Biomaterials 78
Countries citing papers authored by Lichao Yang
This map shows the geographic impact of Lichao Yang'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 Lichao Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichao Yang more than expected).
Fields of papers citing papers by Lichao Yang
This network shows the impact of papers produced by Lichao Yang. 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 Lichao Yang. The network helps show where Lichao Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lichao Yang, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 93 | |
| 2 | 2012 | 69 | |
| 3 | 2018 | 56 | |
| 4 | 2015 | 53 | |
| 5 | 2019 | 46 | |
| 6 | 2018 | 45 | |
| 7 | 2018 | 41 | |
| 8 | 2016 | 39 | |
| 9 | 2016 | 36 | |
| 10 | 2015 | 35 | |
| 11 | 2017 | 33 | |
| 12 | 2022 | 33 | |
| 13 | 2017 | 30 | |
| 14 | 2022 | 28 | |
| 15 | 2015 | 27 | |
| 16 | 2019 | 25 | |
| 17 | 2019 | 25 | |
| 18 | 2015 | 23 | |
| 19 | 2016 | 23 | |
| 20 | 2017 | 23 |
About Lichao Yang
Lichao Yang is a scholar working on Neurology, Biomaterials, Molecular Biology, Developmental Neuroscience and Physiology, having authored 53 papers that have together received 1.2k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (11 papers), Nanoparticle-Based Drug Delivery (7 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neurological Disorders and Treatments (7 papers), Alzheimer's disease research and treatments (5 papers), Acute Ischemic Stroke Management (4 papers), Breast Cancer Treatment Studies (4 papers) and Neurogenesis and neuroplasticity mechanisms (3 papers). The work is most often cited by research in Neurology (171 citations), Developmental Neuroscience (30 citations), Biological Psychiatry (11 citations), Pharmacology (117 citations) and Biomaterials (78 citations). Lichao Yang has collaborated with scholars based in China and United States. Frequent co-authors include Peng Lu, Xin Jin, Yun Zhao, San‐Gang Wu, Xin Jin, Wushuang Yang, Han Guo, Zhen‐Yu He, Jiayuan Sun and Rengong Zhuo. Their work appears in journals such as European Journal of Pharmacology, Oncotarget, Phytomedicine, Experimental Gerontology and Biochemical and Biophysical Research Communications.
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.