Dan Miao

814 citations
33 papers · 549 · h-index 13

Impact in

    • Tryptophan and brain disorders
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Parkinson's Disease Mechanisms and Treatments

Papers in

Dan Miao

33 papers receiving 547 citations

Peers

Dan Miao
Comparison fields: 5 of 100
  • Biological Psychiatry 64
  • Neurology 104
  • Physiology 253
  • Behavioral Neuroscience 17
  • Cellular and Molecular Neuroscience 85
Replace Burak Önal with:
Burak Önal Türkiye
Shan Liu China
Pamela V. Martino Adami Argentina
Aoife Keohane United Kingdom
Carlos Fernández‐Viadero Spain
Deren Hou China
Merve Alaylıoğlu Türkiye
Pierluigi Sebastiani Italy
Michael R. Strickland United States
Hengbing Zu China
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Citations per field
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Citations per year

Countries citing papers authored by Dan Miao

Since Specialization
Citations

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

Fields of papers citing papers by Dan Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013101
2 200859
3 201246
4 201042
5 201037
6 201232
7 201130
8 201125
9 201021
10 201821
11 201319
12 201315
13 201813
14 202210
15 202210
16 201910
17 20128
18
[Effects of parecoxib sodium analgesia on serum concentrations of neuron-specific enolase and S-100β and postoperative cognitive function of elderly patients undergoing acute replacement of femoral head].
20138
19 20167
20 20165

About Dan Miao

Dan Miao is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Immunology and Pharmacology, having authored 33 papers that have together received 549 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (11 papers), Tryptophan and brain disorders (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Immune Response and Inflammation (2 papers), MicroRNA in disease regulation (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Nuclear Receptors and Signaling (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). The work is most often cited by research in Biological Psychiatry (64 citations), Neurology (104 citations), Physiology (253 citations), Behavioral Neuroscience (17 citations) and Cellular and Molecular Neuroscience (85 citations). Dan Miao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lan Tan, Jin‐Tai Yu, Zhong‐Chen Wu, Meng‐Shan Tan, Yan Tian, Chong Wang, Jinghui Song, Xiaoying Ma, Qiu‐Yan Liu and Yanping Sun. Their work appears in journals such as Brain Research, Current Neurovascular Research, Neurobiology of Aging, Buildings and International Journal of Emerging Technologies in Learning (iJET).

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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