Ding-Kun Dai

626 citations
9 papers · 528 · h-index 8

Impact in

  • Neurology top 10%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

    • Heme Oxygenase-1 and Carbon Monoxide 2
    • Circular RNAs in diseases 1
    • Autophagy in Disease and Therapy 3
    • Burn Injury Management and Outcomes 1

Ding-Kun Dai

8 papers receiving 526 citations

Peers

Ding-Kun Dai
Comparison fields: 5 of 79
  • Neurology 154
  • Neurology 62
  • Developmental Neuroscience 29
  • Epidemiology 201
  • Molecular Biology 274
Replace Haijun Bao with:
Haijun Bao China
Derong Cui China
Weibin Lin China
Xiuming Guo China
Binbin Zheng China
Akinori Eiyama Japan
Shuhao Mei China
Yuanyuan Gong China
Gang Lv China
Zihuan Zhang China
Ding-Kun Dai relative to Haijun Bao China Haijun Bao's profile →
Citations per field
00.5×1.5×1.8×
Haijun Bao · 1×
Citations per year

Countries citing papers authored by Ding-Kun Dai

Since Specialization
Citations

This map shows the geographic impact of Ding-Kun 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 Ding-Kun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding-Kun Dai more than expected).

Fields of papers citing papers by Ding-Kun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Kun 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 Ding-Kun Dai. The network helps show where Ding-Kun Dai may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding-Kun 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 Ding-Kun Dai Line = papers co-authored together Ding-Kun Dai links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2011172
2 2012105
3 201262
4 201262
5 201454
6 201238
7 201619
8 201216
9 20250

About Ding-Kun Dai

Ding-Kun Dai is a scholar working on Molecular Biology, Epidemiology, Physiology, Surgery and Neurology, having authored 9 papers that have together received 528 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Nutrition and Health in Aging (1 paper), Circular RNAs in diseases (1 paper), Burn Injury Management and Outcomes (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Neurology (154 citations), Neurology (62 citations), Developmental Neuroscience (29 citations), Epidemiology (201 citations) and Molecular Biology (274 citations). Ding-Kun Dai has collaborated with scholars based in China and Taiwan. Frequent co-authors include Luyang Tao, Haijun Bao, Yiwen Shen, Hongfei Xu, Cheng‐Liang Luo, Mingyang Zhang, Xiping Chen, Tao Wang, Lin Zhang and Wencan Han. Their work appears in journals such as Neurochemical Research, Neuroscience, Drug Design Development and Therapy, Neurological Sciences and Journal of Neurotrauma.

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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