Xiaohui Wang

3.8k citations
53 papers · 1.8k · h-index 20

Impact in

Papers in

Xiaohui Wang

51 papers receiving 1.8k citations

Peers

Xiaohui Wang
Comparison fields: 5 of 106
  • Epidemiology 779
  • Cellular and Molecular Neuroscience 312
  • Geriatrics and Gerontology 65
  • Physiology 75
  • Molecular Biology 902
Replace Vanessa Ginet with:
Vanessa Ginet Switzerland
Haijing Yan China
Tonia S. Rex United States
Akinori Hisatsune Japan
Tianzheng Yu United States
Kashan Ahmed Germany
Isabella Irrcher Canada
Philipp A. Jaeger United States
Kazunori Sato Japan
Hua Tian China
Xiaohui Wang relative to Vanessa Ginet Switzerland Vanessa Ginet's profile →
Citations per field
00.5×
Vanessa Ginet · 1×
Citations per year

Countries citing papers authored by Xiaohui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017233
2 2010205
3 2019186
4 2014152
5 2018145
6 1997144
7 2012124
8 201064
9 201245
10 199645
11 202344
12 202027
13 201626
14 202226
15 201125
16 199624
17 201623
18 202022
19 201521
20 201919

About Xiaohui Wang

Xiaohui Wang is a scholar working on Epidemiology, Molecular Biology, Physiology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (11 papers), Circadian rhythm and melatonin (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neuropeptides and Animal Physiology (5 papers), Alzheimer's disease research and treatments (4 papers), Gut microbiota and health (4 papers), Vitamin K Research Studies (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Epidemiology (779 citations), Cellular and Molecular Neuroscience (312 citations), Geriatrics and Gerontology (65 citations), Physiology (75 citations) and Molecular Biology (902 citations). Xiaohui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Quan Chen, Yushan Zhu, Hao Wu, Jun Wang, Haijing Jin, Lei Du, Lei Liu, Yanjun Li, Sami Siraj and Ping Gao. Their work appears in journals such as Autophagy, Brain Research, Journal of Cellular and Molecular Medicine, Acta Biochimica et Biophysica Sinica and Journal of Integrative Neuroscience.

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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