Ru‐Ping Dai

1.7k citations
78 papers · 1.3k indexed · h-index 21

Ru‐Ping Dai

72 papers receiving 1.3k citations

Peers

Ru‐Ping Dai
Comparison fields: 5 of 102
  • Behavioral Neuroscience 221
  • Biological Psychiatry 146
  • Developmental Neuroscience 113
  • Neurology 172
  • Cellular and Molecular Neuroscience 349
Replace Hsiun‐ing Chen with:
Hsiun‐ing Chen Taiwan
Fatma Taneli Türkiye
Norman E. Taylor United States
Jianqiang Lu China
Julie Wieseler‐Frank United States
Chongyun Wu China
Vivianne L. Tawfik United States
Anja Finn Sweden
Giovanni Murialdo Italy
İlkay Aksu Türkiye
Ru‐Ping Dai relative to Hsiun‐ing Chen Taiwan Hsiun‐ing Chen's profile →
Citations per field
00.5×4.1×
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-authorship network

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
#Work
1 20251
2 20250
3 20251
4 20250
5 20247
6 20230
7 202314
8 20238
9 20232
10 20232
11 20221
12 202218
13 20206
14 201517
15 201418
16 201148
17 20074
18 200633
19
FURTHER STUDIES ON THE ELECTRICAL ACTIVITY OF EPITHELIAL CELLS IN EMBRYOS OF CYNOPS ORIENTALIS
19823
20
STUDIES ON THE ANTIFERTILITY EFFECTS OF GOSSYPOL——VI.OBSERVATIONS OF TESTICULAR ATROPHY OF RATS ADMINISTRATED WITH GOSSYPOL FOR LONG-TERMS
19801

About Ru‐Ping Dai

Ru‐Ping Dai is a scholar working on Behavioral Neuroscience, Anesthesiology and Pain Medicine and Developmental Neuroscience, having authored 78 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Anesthesia and Pain Management (13 papers), Stress Responses and Cortisol (10 papers), Nerve injury and regeneration (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Anesthesia and Sedative Agents (7 papers), Neuroendocrine regulation and behavior (6 papers) and Intensive Care Unit Cognitive Disorders (5 papers). The work is most often cited by research in Behavioral Neuroscience (221 citations), Biological Psychiatry (146 citations) and Developmental Neuroscience (113 citations). Ru‐Ping Dai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Chang-Qi Li, Xin‐Fu Zhou, Jianyi Zhang, 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, Scientific Reports, Neurochemical Research and International Journal of Cardiology.

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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