Xing-Chen Wang

838 citations
18 papers · 611 · h-index 8

Impact in

  • Neurology top 2%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neurosurgical Procedures and Complications
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Acute Ischemic Stroke Management

Papers in

    • Intracerebral and Subarachnoid Hemorrhage Research 6
    • Traumatic Brain Injury and Neurovascular Disturbances 2
    • Neurosurgical Procedures and Complications 2
    • Adipose Tissue and Metabolism 4

Xing-Chen Wang

16 papers receiving 609 citations

Peers

Xing-Chen Wang
Comparison fields: 5 of 44
  • Neurology 523
  • Epidemiology 181
  • Neurology 6
  • Internal Medicine 2
  • Radiology, Nuclear Medicine and Imaging 11
Replace Satoru Tanioka with:
Satoru Tanioka Japan
Kristen A. McNamara United States
Tadashi Sunohara Japan
Gustavo Piñero Argentina
Maramélia Miranda Brazil
Luo Qi-zhong China
Daniela Graetz Germany
He-Li Cao China
Kyu-Chang Lee South Korea
Bin-Xian Gu China
Xing-Chen Wang relative to Satoru Tanioka Japan Satoru Tanioka's profile →
Citations per field
00.5×10×20×32×
Satoru Tanioka · 1×
Citations per year

Countries citing papers authored by Xing-Chen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xing-Chen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2016214
2 2017200
3 201744
4 202037
5 201734
6 201831
7 201827
8 20247
9 20254
10 20233
11 20223
12 20242
13 20242
14 20231
15 20231
16 20231
17 20250
18 20230

About Xing-Chen Wang

Xing-Chen Wang is a scholar working on Neurology, Physiology, Molecular Biology, Epidemiology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 611 indexed citations. Recurring topics across this work include Intracerebral and Subarachnoid Hemorrhage Research (6 papers), Mitochondrial Function and Pathology (4 papers), Adipose Tissue and Metabolism (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Neurosurgical Procedures and Complications (2 papers), Bat Biology and Ecology Studies (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Neurology (523 citations), Epidemiology (181 citations), Neurology (6 citations), Internal Medicine (2 citations) and Radiology, Nuclear Medicine and Imaging (11 citations). Xing-Chen Wang has collaborated with scholars based in China. Frequent co-authors include Wen‐Song Yang, Qi Li, Peng Xie, Xin Xiong, Wei Xiao, Kewei Li, Qingjun Liu, Du Cao, Gang Zhang and Dan Zhu. Their work appears in journals such as Stroke, PLoS ONE, Neurocritical Care, Biochimie and Lipids in Health and Disease.

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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