Mingxia Wang

2.8k citations
151 papers · 1.9k · h-index 23

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • CRISPR and Genetic Engineering 5
    • Colorectal Cancer Treatments and Studies 7
    • HER2/EGFR in Cancer Research 5

Mingxia Wang

134 papers receiving 1.9k citations

Peers

Mingxia Wang
Comparison fields: 5 of 160
  • Neurology 112
  • Biochemistry 81
  • Complementary and alternative medicine 103
  • Electrochemistry 76
  • Biological Psychiatry 27
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Aditya B. Pant India
Yang Hee Kim South Korea
Mina Kim South Korea
Lulu Xu China
Kuan‐Hung Lin Taiwan
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Mingxia Wang relative to Aditya B. Pant India Aditya B. Pant's profile →
Citations per field
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Aditya B. Pant · 1×
Citations per year

Countries citing papers authored by Mingxia Wang

Since Specialization
Citations

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

Fields of papers citing papers by Mingxia Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009198
2 2020138
3 200894
4 201778
5 200274
6 201954
7 201352
8 201344
9 201435
10 202232
11 201932
12 201930
13 201730
14 201330
15 201529
16 200629
17 201929
18 201928
19 202326
20 201826

About Mingxia Wang

Mingxia Wang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Immunology and Cancer Research, having authored 151 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Traditional Chinese Medicine Analysis (7 papers), Colorectal Cancer Treatments and Studies (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), CRISPR and Genetic Engineering (5 papers), Electrochemical sensors and biosensors (5 papers), HER2/EGFR in Cancer Research (5 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Neurology (112 citations), Biochemistry (81 citations), Complementary and alternative medicine (103 citations), Electrochemistry (76 citations) and Biological Psychiatry (27 citations). Mingxia Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Baoen Shan, Runqing Li, Pengmin Qin, Georg Northoff, Huayu Huang, Jing‐Yu Fan, Jing‐Yan Han, Junjie Ma, Xin Zhang and Lei‐Ming Ren. Their work appears in journals such as Drug Design Development and Therapy, Frontiers in Plant Science, Scientia Horticulturae, Frontiers in Public Health and Current Cancer Drug Targets.

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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