Ru‐Ping Dai
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 2%
- Stress Responses and Cortisol
Papers in
-
- Nerve injury and regeneration 9
- Neuropeptides and Animal Physiology 5
- Surgery 12
- Co-authors
- Chang-Qi Li (22 shared papers)Jianyi Zhang (9 shared papers)Xin‐Fu Zhou (13 shared papers)Zhao‐Lan Hu (14 shared papers)Junmei Xu (11 shared papers)Xianping Wu (4 shared papers)Cong Luo (15 shared papers)Fang Li (6 shared papers)
- Journals
- Neurotoxicity Research (5 papers)Osteoporosis International (3 papers)International Journal of Cardiology (2 papers)BMC Oral Health (2 papers)Neurochemical Research (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ru‐Ping Dai
74 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 130
- Behavioral Neuroscience 189
- Developmental Neuroscience 101
- Neurology 144
- Orthopedics and Sports Medicine 137
Countries citing papers authored by Ru‐Ping Dai
This map shows the geographic impact of Ru‐Ping Dai'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 Ru‐Ping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ru‐Ping Dai more than expected).
Fields of papers citing papers by Ru‐Ping Dai
This network shows the impact of papers produced by Ru‐Ping Dai. 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 Ru‐Ping Dai. The network helps show where Ru‐Ping Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ru‐Ping Dai, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 109 | |
| 2 | 2017 | 102 | |
| 3 | 2008 | 80 | |
| 4 | 2014 | 61 | |
| 5 | 2014 | 59 | |
| 6 | 2016 | 52 | |
| 7 | 2020 | 50 | |
| 8 | 2011 | 48 | |
| 9 | 2019 | 46 | |
| 10 | 2015 | 39 | |
| 11 | 2007 | 36 | |
| 12 | 2006 | 33 | |
| 13 | 2012 | 29 | |
| 14 | 2011 | 29 | |
| 15 | 2010 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2019 | 27 | |
| 18 | 2020 | 27 | |
| 19 | 2021 | 25 | |
| 20 | 2012 | 23 |
About Ru‐Ping Dai
Ru‐Ping Dai is a scholar working on Cellular and Molecular Neuroscience, Surgery, Physiology, Behavioral Neuroscience and Pulmonary and Respiratory Medicine, having authored 79 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nerve injury and regeneration (9 papers), Stress Responses and Cortisol (8 papers), Pain Mechanisms and Treatments (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroendocrine regulation and behavior (5 papers), Bone health and osteoporosis research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Neuropeptides and Animal Physiology (5 papers). The work is most often cited by research in Biological Psychiatry (130 citations), Behavioral Neuroscience (189 citations), Developmental Neuroscience (101 citations), Neurology (144 citations) and Orthopedics and Sports Medicine (137 citations). Ru‐Ping Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chang-Qi Li, Jianyi Zhang, Xin‐Fu Zhou, Zhao‐Lan Hu, Junmei Xu, Xianping Wu, Cong Luo, Fang Li, H. Zhang and Gan Huang. Their work appears in journals such as Neurotoxicity Research, Osteoporosis International, International Journal of Cardiology, BMC Oral Health and Neurochemical Research.
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.