Meiling Wang

1.1k citations
48 papers · 724 · h-index 16

Impact in

Papers in

Meiling Wang

46 papers receiving 711 citations

Peers

Meiling Wang
Comparison fields: 5 of 120
  • Neurology 111
  • Complementary and alternative medicine 53
  • Modeling and Simulation 27
  • Biological Psychiatry 14
  • Neurology 35
Replace Md. Abdul Aziz with:
Md. Abdul Aziz Bangladesh
Jing Gao China
Mohammad Ishraq Zafar China
Renbin Huang China
Zaki A. Sherif United States
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Meiling Wang relative to Md. Abdul Aziz Bangladesh Md. Abdul Aziz's profile →
Citations per field
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Citations per year

Countries citing papers authored by Meiling Wang

Since Specialization
Citations

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

Fields of papers citing papers by Meiling Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An intervention study to prevent gastric cancer by micro-selenium and large dose of allitridum.
200486
2 202176
3 201750
4 202149
5 201745
6 201630
7 201930
8 202128
9 201925
10 201523
11 202123
12 202420
13 201820
14 202118
15 201916
16 201515
17 202012
18 202312
19 201312
20 202211

About Meiling Wang

Meiling Wang is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Neurology and Infectious Diseases, having authored 48 papers that have together received 724 indexed citations. Recurring topics across this work include Autoimmune Neurological Disorders and Treatments (5 papers), Peripheral Neuropathies and Disorders (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Immune Response and Inflammation (3 papers), Viral Infections and Immunology Research (2 papers), Herpesvirus Infections and Treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Neuroscience of respiration and sleep (2 papers). The work is most often cited by research in Neurology (111 citations), Complementary and alternative medicine (53 citations), Modeling and Simulation (27 citations), Biological Psychiatry (14 citations) and Neurology (35 citations). Meiling Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xuewu Liu, Huiqing Li, Yun Wang, Xiaoyan Xie, Hao Li, Shan Qiao, Leiming Zhang, Ranran Zhang, Wenbin Ma and Qingxin Liu. Their work appears in journals such as Frontiers in Immunology, Frontiers in Pharmacology, Journal of Clinical Laboratory Analysis, Scientific Reports and BMC Nephrology.

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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