Ya-Cheng Lu
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
- Nerve injury and regeneration
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- Stress Responses and Cortisol
Papers in
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- Neuropeptides and Animal Physiology 11
- Nerve injury and regeneration 7
- Neuroscience and Neuropharmacology Research 3
- Physiology 16
- Pain Mechanisms and Treatments 16
- Co-authors
- Yun-Qing Li (17 shared papers)Yu‐Lin Dong (11 shared papers)Jun-Bin Yin (11 shared papers)Shaohua Liang (2 shared papers)Ting Zhang (12 shared papers)Jiani Li (2 shared papers)Yanyan Wei (4 shared papers)Jian Wang (2 shared papers)
- Journals
- Molecular Neurobiology (3 papers)Frontiers in Neural Circuits (3 papers)Frontiers in Neuroanatomy (2 papers)Life Sciences (2 papers)PLoS ONE (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ya-Cheng Lu
24 papers receiving 292 citations
Peers
Comparison fields: 5 of 68
- Cellular and Molecular Neuroscience 153
- Behavioral Neuroscience 28
- Endocrine and Autonomic Systems 41
- Physiology 136
- Neurology 26
Countries citing papers authored by Ya-Cheng Lu
This map shows the geographic impact of Ya-Cheng Lu'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 Ya-Cheng Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Cheng Lu more than expected).
Fields of papers citing papers by Ya-Cheng Lu
This network shows the impact of papers produced by Ya-Cheng Lu. 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 Ya-Cheng Lu. The network helps show where Ya-Cheng Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya-Cheng Lu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2014 | 30 | |
| 3 | 2014 | 28 | |
| 4 | 2020 | 21 | |
| 5 | 2014 | 21 | |
| 6 | 2013 | 20 | |
| 7 | 2014 | 15 | |
| 8 | 2016 | 13 | |
| 9 | 2022 | 12 | |
| 10 | 2018 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2015 | 8 | |
| 13 | 2015 | 6 | |
| 14 | 2022 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2014 | 5 | |
| 17 | 2017 | 4 | |
| 18 | 2014 | 4 | |
| 19 | 2023 | 3 | |
| 20 | Ultrastructural Features of Liver Tissues in Non-alcoholic Fatty Liver Disease | 2012 | 2 |
About Ya-Cheng Lu
Ya-Cheng Lu is a scholar working on Cellular and Molecular Neuroscience, Physiology, Behavioral Neuroscience, Cognitive Neuroscience and Surgery, having authored 24 papers that have together received 292 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (16 papers), Neuropeptides and Animal Physiology (11 papers), Nerve injury and regeneration (7 papers), Neuroscience and Neuropharmacology Research (3 papers), Stress Responses and Cortisol (3 papers), Vestibular and auditory disorders (2 papers), Ion channel regulation and function (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (153 citations), Behavioral Neuroscience (28 citations), Endocrine and Autonomic Systems (41 citations), Physiology (136 citations) and Neurology (26 citations). Ya-Cheng Lu has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yun-Qing Li, Yu‐Lin Dong, Jun-Bin Yin, Shaohua Liang, Ting Zhang, Jiani Li, Yanyan Wei, Jian Wang, Wen Wang and Ban Feng. Their work appears in journals such as Molecular Neurobiology, Frontiers in Neural Circuits, Frontiers in Neuroanatomy, Life Sciences and PLoS ONE.
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.