Yuling Liang
- Biological Psychiatry top 5%
- Tryptophan and brain disorders 3
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- Neuroscience and Neuropharmacology Research 10
- Neurotransmitter Receptor Influence on Behavior 2
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 4
- Memory and Neural Mechanisms 3
- Pharmaceutical Science top 5%
- Behavioral Neuroscience top 10%
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- Advanced biosensing and bioanalysis techniques 3
- Receptor Mechanisms and Signaling 3
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- Pharmacological Effects of Natural Compounds 2
- Co-authors
- Steven J. SiegelRichard S. EhrlichmanChristina R. MaxwellMichael J. GandalRaquel E. GurRobert E. FeatherstoneStephen KanesDanielle Trief
- Journals
- Nature (1 paper)SHILAP Revista de lepidopterología (1 paper)Nano Letters (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuling Liang
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Biological Psychiatry 116
- Cellular and Molecular Neuroscience 515
- Cognitive Neuroscience 413
- Pharmaceutical Science 91
- Behavioral Neuroscience 45
Countries citing papers authored by Yuling Liang
This map shows the geographic impact of Yuling 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 Yuling Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Liang more than expected).
Fields of papers citing papers by Yuling Liang
This network shows the impact of papers produced by Yuling 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 Yuling Liang. The network helps show where Yuling Liang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuling 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 8 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 3 | |
| 9 | 2018 | 3 | |
| 10 | 2014 | 82 | |
| 11 | 2014 | 54 | |
| 12 | 2012 | 137 | |
| 13 | 2010 | 84 | |
| 14 | 2010 | 21 | |
| 15 | 2009 | 134 | |
| 16 | 2009 | 94 | |
| 17 | 2007 | 10 | |
| 18 | 2005 | 41 | |
| 19 | 2005 | 127 | |
| 20 | 2002 | 92 |
About Yuling Liang
Yuling Liang is a scholar working on Biological Psychiatry, Structural Biology and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neural dynamics and brain function (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Memory and Neural Mechanisms (3 papers), Tryptophan and brain disorders (3 papers), Receptor Mechanisms and Signaling (3 papers), Pharmacological Effects of Natural Compounds (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Biological Psychiatry (116 citations), Cellular and Molecular Neuroscience (515 citations) and Cognitive Neuroscience (413 citations). Yuling Liang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Steven J. Siegel, Richard S. Ehrlichman, Christina R. Maxwell, Michael J. Gandal, Raquel E. Gur, Robert E. Featherstone, Stephen Kanes, Danielle Trief, Kayla L. Metzger and Gerald J. Jonak. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Nano Letters.
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.