Yuling Liang
Impact in
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- Neuroscience and Neuropharmacology Research
Papers in
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- Receptor Mechanisms and Signaling 3
- Co-authors
- Steven J. Siegel (8 shared papers)Raquel E. Gur (4 shared papers)Christina R. Maxwell (5 shared papers)Ted Abel (5 shared papers)Stephen Kanes (5 shared papers)Bruce I. Turetsky (3 shared papers)Chaoyang Wang (4 shared papers)Patrick Connolly (2 shared papers)
- Journals
- Macromolecules (4 papers)Neuropsychopharmacology (3 papers)Fish & Shellfish Immunology (2 papers)Journal of Materials Chemistry A (2 papers)Angewandte Chemie International Edition (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuling Liang
63 papers receiving 909 citations
Peers
Comparison fields: 5 of 118
- Cellular and Molecular Neuroscience 178
- Biological Psychiatry 20
- Cognitive Neuroscience 151
- Physiology 31
- Sensory Systems 21
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-authors
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
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2021 | 88 | |
| 3 | 2004 | 77 | |
| 4 | 2004 | 53 | |
| 5 | 2003 | 46 | |
| 6 | 2016 | 37 | |
| 7 | 2023 | 32 | |
| 8 | 2019 | 29 | |
| 9 | 2017 | 27 | |
| 10 | 2022 | 25 | |
| 11 | 2005 | 23 | |
| 12 | 2023 | 22 | |
| 13 | 2023 | 19 | |
| 14 | 2018 | 18 | |
| 15 | 2020 | 18 | |
| 16 | 2017 | 16 | |
| 17 | 2019 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2024 | 14 |
About Yuling Liang
Yuling Liang is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Immunology and Polymers and Plastics, having authored 69 papers that have together received 926 indexed citations. Recurring topics across this work include Fuel Cells and Related Materials (4 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Advanced Polymer Synthesis and Characterization (3 papers), COVID-19 Impact on Reproduction (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers) and Polymer crystallization and properties (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (178 citations), Biological Psychiatry (20 citations), Cognitive Neuroscience (151 citations), Physiology (31 citations) and Sensory Systems (21 citations). Yuling Liang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Steven J. Siegel, Raquel E. Gur, Christina R. Maxwell, Ted Abel, Stephen Kanes, Bruce I. Turetsky, Chaoyang Wang, Patrick Connolly, Warren B. Bilker and Jonathan B. Kahn. Their work appears in journals such as Macromolecules, Neuropsychopharmacology, Fish & Shellfish Immunology, Journal of Materials Chemistry A and Angewandte Chemie International Edition.
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.