Xiaoping Wang

3.3k citations
126 papers · 2.1k indexed · h-index 27

Impact in

Papers in

Xiaoping Wang

116 papers receiving 2.1k citations

Peers

Xiaoping Wang
Comparison fields: 5 of 164
  • Biological Psychiatry 65
  • Neurology 374
  • Neurology 192
  • Physiology 387
  • Geriatrics and Gerontology 54
Replace Kota Sato with:
Kota Sato Japan
Ju‐Hee Kang South Korea
Giorgio Fanò Italy
Do‐Young Kwon South Korea
Stefania Fulle Italy
Jan Jacek Kaczor Poland
Xiaolei Liu China
Karin Wirdefeldt Sweden
Xiaoping Wang relative to Kota Sato Japan Kota Sato's profile →
Citations per field
00.5×1.5×1.9×
Kota Sato · 1×
Citations per year

Countries citing papers authored by Xiaoping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009244
2 201874
3 202169
4 201268
5 201564
6 201861
7 200058
8
Putamen gray matter volumes in neuropsychiatric and neurodegenerative disorders.
201952
9 200850
10 201849
11 201244
12 202041
13 201240
14 201835
15 202034
16 202134
17 201833
18 201332
19 202030
20 202030

About Xiaoping Wang

Xiaoping Wang is a scholar working on Biological Psychiatry, Neurology, Psychiatry and Mental health, Neurology and Developmental Neuroscience, having authored 126 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (19 papers), Trace Elements in Health (12 papers), Neurological disorders and treatments (9 papers), Mitochondrial Function and Pathology (9 papers), Schizophrenia research and treatment (8 papers), Alzheimer's disease research and treatments (7 papers), Restless Legs Syndrome Research (6 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Neurology (374 citations), Neurology (192 citations), Physiology (387 citations) and Geriatrics and Gerontology (54 citations). Xiaoping Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bo Wang, Hongliu Ding, Hongxia Cai, Xingguang Luο, Shigao Yang, Xiaoxia Sun, Xi Zhang, Lei Huang, Yujiong Wang and Min Zhao. Their work appears in journals such as Current Neuropharmacology, Frontiers in Neuroscience, Frontiers in Neurology, Neuroscience Bulletin and Scientific Reports.

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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