Xiaohui Wang

3.9k citations
54 papers · 1.9k · h-index 20

Impact in

Papers in

Xiaohui Wang

53 papers receiving 1.8k citations

Peers

Xiaohui Wang
Comparison fields: 5 of 104
  • Epidemiology 748
  • Geriatrics and Gerontology 57
  • Cellular and Molecular Neuroscience 295
  • Physiology 72
  • Physiology 306
Replace Vanessa Ginet with:
Vanessa Ginet Switzerland
Haijing Yan China
Iain P. Hargreaves United Kingdom
Akinori Hisatsune Japan
Palsamy Periyasamy United States
Philipp A. Jaeger United States
Tianzheng Yu United States
Sunan Li United States
Chulman Jo South Korea
Gustavo J.S. Pereira Brazil
Xiaohui Wang relative to Vanessa Ginet Switzerland Vanessa Ginet's profile →
Citations per field
00.5×2.7×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017240
2 2010208
3 2019190
4 2014153
5 2018150
6 1997145
7 2012126
8 201065
9 202354
10 199645
11 201245
12 202230
13 202027
14 201626
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 Pharmacology, having authored 54 papers that have together received 1.9k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Neuroscience and Neuropharmacology Research (5 papers), Alzheimer's disease research and treatments (5 papers), Circadian rhythm and melatonin (5 papers), Neuropeptides and Animal Physiology (4 papers), Adipose Tissue and Metabolism (3 papers), Vitamin K Research Studies (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Epidemiology (748 citations), Geriatrics and Gerontology (57 citations), Cellular and Molecular Neuroscience (295 citations), Physiology (72 citations) and Physiology (306 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, Journal of Cellular and Molecular Medicine, Brain Research, Acta Biochimica et Biophysica Sinica and Protein & Cell.

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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