Guoping Wang

1.8k citations
52 papers · 688 · h-index 14

Impact in

Papers in

Guoping Wang

47 papers receiving 678 citations

Peers

Guoping Wang
Comparison fields: 5 of 103
  • Neurology 74
  • Biological Psychiatry 14
  • Cancer Research 80
  • Pathology and Forensic Medicine 92
  • Internal Medicine 19
Replace Maria Daglas with:
Maria Daglas Australia
Emelie Stenman Sweden
Yajun Lian China
Oliver J. Ziff United Kingdom
V. Casado Spain
A. Botturi Italy
Yang Qu China
Yoshio Omote Japan
Xiuhua Wu China
Zhong Ju China
Guoping Wang relative to Maria Daglas Australia Maria Daglas's profile →
Citations per field
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Citations per year

Countries citing papers authored by Guoping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202193
2 201490
3 200070
4 199759
5 201138
6 202335
7 202234
8 202130
9
A novel dominant-negative mutation of the CSF1R gene causes adult-onset leukoencephalopathy with axonal spheroids and pigmented glia.
201919
10
Ginkgo biloba extract improves cognitive function and increases neurogenesis by reducing Aβ pathology in 5×FAD mice.
202118
11 201916
12 201215
13 202115
14 201313
15 201812
16 202412
17
The predictive value of serum amyloid A and C-reactive protein levels for the severity of coronavirus disease 2019.
202011
18 201810
19 20199
20 20128

About Guoping Wang

Guoping Wang is a scholar working on Epidemiology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 52 papers that have together received 688 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Renal cell carcinoma treatment (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Apelin-related biomedical research (2 papers). The work is most often cited by research in Neurology (74 citations), Biological Psychiatry (14 citations), Cancer Research (80 citations), Pathology and Forensic Medicine (92 citations) and Internal Medicine (19 citations). Guoping Wang has collaborated with scholars based in China, United States and France. Frequent co-authors include Yuyou Zhu, Wei Hu, Zhiling Qu, Juan Ni, Chunrong Tao, Xinfeng Liu, Wen Sun, Xiangyang Liu, Sheng Xiao and Yi Zhang. Their work appears in journals such as International Journal of Stroke, Scientific Reports, Frontiers in Neurology, BMC Neurology and Journal of Neuroinflammation.

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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