Xiaohui Miao

29 papers receiving 370 citations

Peers

Xiaohui Miao
Comparison fields: 5 of 82
  • Applied Microbiology and Biotechnology 18
  • Critical Care and Intensive Care Medicine 35
  • Developmental Neuroscience 21
  • Pathology and Forensic Medicine 70
  • Neurology 52
Replace Carmen D’Amore with:
Carmen D’Amore Italy
Penny Andrews United States
Sandra De Breucker Belgium
Kanchan Gupta India
Megan Van Berkel Patel United States
Diane Tipping United States
Maureen Shandling Canada
Patrick E. Georgoff United States
Joaquim Monteiro Portugal
Sabina Sahanic Austria
Xiaohui Miao relative to Carmen D’Amore Italy Carmen D’Amore's profile →
Citations per field
00.5×5.3×
Carmen D’Amore · 1×
Citations per year

Countries citing papers authored by Xiaohui Miao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Miao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200962
2 201454
3 201944
4 201635
5 201720
6 201717
7 201716
8 202015
9 201715
10 201713
11 201613
12
[Effects of chronic HBV infection on human hepatic cytochrome P450 3A4].
20069
13 20179
14 20188
15 20188
16 20067
17 20217
18 19966
19 20224
20 20184

About Xiaohui Miao

Xiaohui Miao is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Immunology, Neurology and Rheumatology, having authored 30 papers that have together received 380 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (8 papers), T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (3 papers), Immunotherapy and Immune Responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Amyotrophic Lateral Sclerosis Research (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (18 citations), Critical Care and Intensive Care Medicine (35 citations), Developmental Neuroscience (21 citations), Pathology and Forensic Medicine (70 citations) and Neurology (52 citations). Xiaohui Miao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Zhiyun Lian, Ziyan Shi, Ni Wu, Ju Liu, Hongxi Chen, Qin Du, Hongyu Zhou, Beibei Zhang, Haiguang Xin and Qin Zhang. Their work appears in journals such as Journal of Neuroimmunology, Medicine, European Journal of Medicinal Chemistry, Molecular Neurobiology and BMC Nursing.

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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