Ru‐Ping Dai

1.8k citations
78 papers · 1.4k · h-index 22

Impact in

Papers in

Ru‐Ping Dai

74 papers receiving 1.4k citations

Peers

Ru‐Ping Dai
Comparison fields: 5 of 108
  • Biological Psychiatry 134
  • Behavioral Neuroscience 193
  • Developmental Neuroscience 103
  • Neurology 151
  • Orthopedics and Sports Medicine 145
Replace Hsiun‐ing Chen with:
Hsiun‐ing Chen Taiwan
John Kealy Ireland
Jianqiang Lu China
Romain‐Daniel Gosselin Switzerland
Chongyun Wu China
Julie Wieseler‐Frank United States
Anja Finn Sweden
Andrea Ebersberger Germany
Grace Sophia Griesbach United States
Lotte Leick Denmark
Ru‐Ping Dai relative to Hsiun‐ing Chen Taiwan Hsiun‐ing Chen's profile →
Citations per field
00.5×2×4×6×8.2×
Hsiun‐ing Chen · 1×
Citations per year

Countries citing papers authored by Ru‐Ping Dai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ru‐Ping Dai Line = papers co-authored together Ru‐Ping Dai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003111
2 2017108
3 200883
4 201462
5 201462
6 201653
7 202052
8 201949
9 201149
10 201539
11 200735
12 200632
13 201029
14 202128
15 201228
16 201128
17 201928
18 202027
19 201727
20 201224

About Ru‐Ping Dai

Ru‐Ping Dai is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Developmental Neuroscience, Critical Care and Intensive Care Medicine and Anesthesiology and Pain Medicine, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nerve injury and regeneration (10 papers), Pain Mechanisms and Treatments (8 papers), Stress Responses and Cortisol (8 papers), Neuropeptides and Animal Physiology (6 papers), Neuroendocrine regulation and behavior (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Bone health and osteoporosis research (5 papers). The work is most often cited by research in Biological Psychiatry (134 citations), Behavioral Neuroscience (193 citations), Developmental Neuroscience (103 citations), Neurology (151 citations) and Orthopedics and Sports Medicine (145 citations). Ru‐Ping Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chang-Qi Li, Zhao‐Lan Hu, Jianyi Jay Zhang, Xin‐Fu Zhou, Junmei Xu, Xian-Ping Wu, Cong Luo, Fang Li, Hongchan Zhang and Gan Huang. Their work appears in journals such as Neurotoxicity Research, Osteoporosis International, International Journal of Cardiology, Anesthesia & Analgesia and Acta Radiologica.

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.

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