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)Ted Abel (5 shared papers)Stephen Kanes (5 shared papers)Christina R. Maxwell (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)Journal of Materials Chemistry A (2 papers)Angewandte Chemie International Edition (2 papers)Fish & Shellfish Immunology (2 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yuling Liang
62 papers receiving 869 citations
Peers
Comparison fields: 5 of 122
- Cellular and Molecular Neuroscience 220
- Biological Psychiatry 25
- Cognitive Neuroscience 181
- Physiology 33
- Sensory Systems 22
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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 95 | |
| 2 | 2021 | 86 | |
| 3 | 2004 | 76 | |
| 4 | 2004 | 52 | |
| 5 | 2003 | 46 | |
| 6 | 2016 | 37 | |
| 7 | 2019 | 29 | |
| 8 | 2017 | 27 | |
| 9 | 2023 | 26 | |
| 10 | 2022 | 24 | |
| 11 | 2005 | 23 | |
| 12 | 2023 | 21 | |
| 13 | 2020 | 18 | |
| 14 | 2018 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2017 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2023 | 15 | |
| 19 | 2019 | 14 | |
| 20 | 2013 | 14 |
About Yuling Liang
Yuling Liang is a scholar working on Molecular Biology, Materials Chemistry, Immunology, Reproductive Medicine and Electrical and Electronic Engineering, having authored 68 papers that have together received 890 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (4 papers), Endometriosis Research and Treatment (4 papers), Neural dynamics and brain function (4 papers), Fuel Cells and Related Materials (4 papers), Reproductive System and Pregnancy (4 papers), Neuroscience and Music Perception (3 papers), Receptor Mechanisms and Signaling (3 papers) and Micro and Nano Robotics (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (220 citations), Biological Psychiatry (25 citations), Cognitive Neuroscience (181 citations), Physiology (33 citations) and Sensory Systems (22 citations). Yuling Liang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Steven J. Siegel, Raquel E. Gur, Ted Abel, Stephen Kanes, Christina R. Maxwell, Bruce I. Turetsky, Chaoyang Wang, Patrick Connolly, Warren B. Bilker and Yonghong Deng. Their work appears in journals such as Macromolecules, Neuropsychopharmacology, Journal of Materials Chemistry A, Angewandte Chemie International Edition and Fish & Shellfish Immunology.
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.