Shaobing Dai

587 citations
20 papers · 350 · h-index 10

Impact in

    • Cerebrospinal fluid and hydrocephalus
  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Intracerebral and Subarachnoid Hemorrhage Research

Papers in

Shaobing Dai

20 papers receiving 346 citations

Peers

Shaobing Dai
Comparison fields: 5 of 54
  • Cellular and Molecular Neuroscience 159
  • Neurology 96
  • Neurology 43
  • Developmental Neuroscience 20
  • Critical Care and Intensive Care Medicine 14
Replace JD Pickard with:
JD Pickard United Kingdom
Kenta Furutani Japan
Arlene A. Tan United States
Meirong Yang China
G.J. Zipfel United States
Rachel Hoover United States
Guixian Ma China
Jia‐Ying Sung Taiwan
Mark Greve United States
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Citations per field
00.5×10×15×18.7×
JD Pickard · 1×
Citations per year

Countries citing papers authored by Shaobing Dai

Since Specialization
Citations

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

Fields of papers citing papers by Shaobing Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202389
2 202239
3 202236
4 202236
5 202325
6 202024
7 202017
8 202014
9 202312
10 202011
11 20219
12 20237
13 20186
14 20195
15 20225
16 20224
17
Gesamtcholesterin, HDL-Cholesterin und Blutdruck in Abhängigkeit vom Lebensstil: Ergebnisse der ersten Bevölkerungsstudie des Schweizer MONICA-Projekts
19903
18 20213
19 20213
20 20242

About Shaobing Dai

Shaobing Dai is a scholar working on Surgery, Cellular and Molecular Neuroscience, Neurology, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 20 papers that have together received 350 indexed citations. Recurring topics across this work include Hemodynamic Monitoring and Therapy (4 papers), Parkinson's Disease Mechanisms and Treatments (4 papers), Cerebrospinal fluid and hydrocephalus (3 papers), Neurological disorders and treatments (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Autism Spectrum Disorder Research (1 paper) and Fetal and Pediatric Neurological Disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (159 citations), Neurology (96 citations), Neurology (43 citations), Developmental Neuroscience (20 citations) and Critical Care and Intensive Care Medicine (14 citations). Shaobing Dai has collaborated with scholars based in China and United States. Frequent co-authors include Baorong Zhang, Jiali Pu, Yi Fang, Zhe Song, Xiaoli Si, Ying Chen, Zhiyun Wang, Guohua Zhao, Xinzhong Chen and Ran Zheng. Their work appears in journals such as BMC Pregnancy and Childbirth, Medicine, Journal of Neuroinflammation, Aging and Brain and Behavior.

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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