Le Yang
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Sphingolipid Metabolism and Signaling 10
- Inflammasome and immune disorders 8
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- Neuroscience and Neuropharmacology Research 13
- Co-authors
- Liying Li (28 shared papers)Ming Zhao (44 shared papers)Lin Yang (14 shared papers)Na Chang (13 shared papers)Yumei Wu (24 shared papers)Qi Yang (22 shared papers)Shui‐bing Liu (21 shared papers)Lin Yang (10 shared papers)
- Journals
- Molecular Pain (4 papers)International Journal of Molecular Sciences (3 papers)Molecular Neurobiology (3 papers)Phytotherapy Research (3 papers)Phytomedicine (3 papers)
- Partner nations
- ChinaPolandUnited States
In The Last Decade
Le Yang
114 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Biological Psychiatry 184
- Neurology 301
- Behavioral Neuroscience 128
- Hepatology 175
- Developmental Neuroscience 92
Countries citing papers authored by Le Yang
This map shows the geographic impact of Le 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 Le Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Le Yang more than expected).
Fields of papers citing papers by Le Yang
This network shows the impact of papers produced by Le 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 Le Yang. The network helps show where Le Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Le 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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 110 | |
| 2 | 2015 | 98 | |
| 3 | 2020 | 89 | |
| 4 | 2020 | 88 | |
| 5 | 2017 | 85 | |
| 6 | 2012 | 80 | |
| 7 | 2020 | 80 | |
| 8 | 2015 | 74 | |
| 9 | 2016 | 72 | |
| 10 | 2008 | 60 | |
| 11 | 2020 | 59 | |
| 12 | 2019 | 57 | |
| 13 | 2016 | 53 | |
| 14 | 2019 | 51 | |
| 15 | 2018 | 50 | |
| 16 | 2016 | 49 | |
| 17 | 2012 | 45 | |
| 18 | 2020 | 43 | |
| 19 | 2010 | 41 | |
| 20 | 2013 | 40 |
About Le Yang
Le Yang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Physiology and Epidemiology, having authored 117 papers that have together received 2.8k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (18 papers), Neuroscience and Neuropharmacology Research (13 papers), Tryptophan and brain disorders (11 papers), Sphingolipid Metabolism and Signaling (10 papers), Liver physiology and pathology (8 papers), Stress Responses and Cortisol (8 papers), Pain Mechanisms and Treatments (8 papers) and Inflammasome and immune disorders (8 papers). The work is most often cited by research in Biological Psychiatry (184 citations), Neurology (301 citations), Behavioral Neuroscience (128 citations), Hepatology (175 citations) and Developmental Neuroscience (92 citations). Le Yang has collaborated with scholars based in China, Poland and United States. Frequent co-authors include Liying Li, Ming Zhao, Lin Yang, Na Chang, Yumei Wu, Qi Yang, Shui‐bing Liu, Lin Yang, Zhen Han and Yanyan Guo. Their work appears in journals such as Molecular Pain, International Journal of Molecular Sciences, Molecular Neurobiology, Phytotherapy Research and Phytomedicine.
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.