Jing Liang
Impact in
-
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Biological Psychiatry top 5%
Papers in
-
- Medicinal plant effects and applications 12
- Medicinal Plants and Neuroprotection 5
- Neurology 13
- Neuroinflammation and Neurodegeneration Mechanisms 9
- Co-authors
- Richard W. OlsenIgor SpigelmanElisabetta CagettiA. Kerstin LindemeyerYi ShenAsha SuryanarayananXuesi M. ShaoGregg E. Homanics
- Journals
- Alcoholism Clinical and Experimental Research (5 papers)Neurochemical Research (4 papers)Journal of Neurophysiology (4 papers)Molecular Pharmacology (3 papers)The Journal of Physiology (3 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Jing Liang
60 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 119
- Cellular and Molecular Neuroscience 1.1k
- Biological Psychiatry 117
- Behavioral Neuroscience 151
- Complementary and alternative medicine 330
- Neurology 331
Countries citing papers authored by Jing Liang
This map shows the geographic impact of Jing Liang'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 Jing Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Liang more than expected).
Fields of papers citing papers by Jing Liang
This network shows the impact of papers produced by Jing Liang. 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 Jing Liang. The network helps show where Jing Liang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Liang, 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 | 4 | |
| 2 | 2022 | 46 | |
| 3 | 2022 | 0 | |
| 4 | 2022 | 1 | |
| 5 | 2021 | 9 | |
| 6 | 2020 | 49 | |
| 7 | 2020 | 47 | |
| 8 | 2020 | 57 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 7 | |
| 11 | 2018 | 8 | |
| 12 | 2018 | 12 | |
| 13 | 2017 | 30 | |
| 14 | 2017 | 88 | |
| 15 | 2014 | 58 | |
| 16 | 2012 | 24 | |
| 17 | 2010 | 33 | |
| 18 | 2008 | 28 | |
| 19 | 2007 | 129 | |
| 20 | 2007 | 74 |
About Jing Liang
Jing Liang is a scholar working on Complementary and alternative medicine, Neurology, Cellular and Molecular Neuroscience, Pharmacology and Developmental Neuroscience, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (21 papers), Neurotransmitter Receptor Influence on Behavior (14 papers), Medicinal plant effects and applications (12 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Memory and Neural Mechanisms (8 papers), Biological Activity of Diterpenoids and Biflavonoids (7 papers), Medicinal Plants and Neuroprotection (5 papers) and Natural product bioactivities and synthesis (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Biological Psychiatry (117 citations), Behavioral Neuroscience (151 citations), Complementary and alternative medicine (330 citations) and Neurology (331 citations). Jing Liang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Richard W. Olsen, Igor Spigelman, Elisabetta Cagetti, A. Kerstin Lindemeyer, Yi Shen, Asha Suryanarayanan, Xuesi M. Shao, Gregg E. Homanics, Daryl L. Davies and Héctor E. López‐Valdés. Their work appears in journals such as Alcoholism Clinical and Experimental Research, Neurochemical Research, Journal of Neurophysiology, Molecular Pharmacology and The Journal of Physiology.
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.