Xia Li
- Biological Psychiatry top 0.5%
- Tryptophan and brain disorders 11
- Cellular and Molecular Neuroscience top 0.5%
- Neurotransmitter Receptor Influence on Behavior 29
- Neuroscience and Neuropharmacology Research 29
- Neuropeptides and Animal Physiology 9
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol 8
- Neurology top 1%
- Neuroinflammation and Neurodegeneration Mechanisms 14
- Developmental Neuroscience top 2%
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- Receptor Mechanisms and Signaling 26
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- Adipose Tissue and Metabolism 10
Xia Li
180 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Biological Psychiatry 564
- Cellular and Molecular Neuroscience 2.5k
- Behavioral Neuroscience 391
- Neurology 701
- Developmental Neuroscience 217
Countries citing papers authored by Xia Li
This map shows the geographic impact of Xia 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 Xia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Li more than expected).
Fields of papers citing papers by Xia Li
This network shows the impact of papers produced by Xia 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 Xia Li. The network helps show where Xia Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xia 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 6 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 16 | |
| 6 | 2022 | 25 | |
| 7 | 2021 | 52 | |
| 8 | 2021 | 5 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 54 | |
| 11 | 2020 | 12 | |
| 12 | 2017 | 40 | |
| 13 | 2015 | 7 | |
| 14 | 2014 | 83 | |
| 15 | Discharges of Neuronal Assembly of Hippocampus CA1 Area in the Memory Formation | 2011 | 0 |
| 16 | 2010 | 62 | |
| 17 | 2009 | 60 | |
| 18 | 2008 | 17 | |
| 19 | 2005 | 109 | |
| 20 | 2003 | 88 |
About Xia Li
Xia Li is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Behavioral Neuroscience, having authored 190 papers that have together received 6.6k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (29 papers), Neuroscience and Neuropharmacology Research (29 papers), Receptor Mechanisms and Signaling (26 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Tryptophan and brain disorders (11 papers), Adipose Tissue and Metabolism (10 papers), Neuropeptides and Animal Physiology (9 papers) and Stress Responses and Cortisol (8 papers). The work is most often cited by research in Biological Psychiatry (564 citations), Cellular and Molecular Neuroscience (2.5k citations), Behavioral Neuroscience (391 citations), Neurology (701 citations) and Developmental Neuroscience (217 citations). Xia Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zheng‐Xiong Xi, Eliot L. Gardner, Phil Skolnick, Jeffrey M. Witkin, Yonggui Wang, Aoran Hong, Jia C. Gao, Terry D. Lindstrom, Michael P. Clay and Xiao‐Qing Peng. Their work appears in journals such as Neuropharmacology, Frontiers in Immunology, Psychopharmacology, CNS & Neurological Disorders - Drug Targets and Neuropsychopharmacology.
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.