Wang Ling

1.0k citations
32 papers · 830 · h-index 15

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Ubiquitin and proteasome pathways 3
    • Metabolism, Diabetes, and Cancer 2
    • Angiogenesis and VEGF in Cancer 2
    • Cancer Cells and Metastasis 2
    • Cancer-related Molecular Pathways 2

Wang Ling

32 papers receiving 809 citations

Peers

Wang Ling
Comparison fields: 5 of 90
  • Cancer Research 150
  • Oncology 244
  • Immunology 146
  • Molecular Biology 455
  • Immunology and Allergy 24
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Bang Ung Youn South Korea
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Haiyan Zhang China
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Citations per field
00.5×1.5×
Bang Ung Youn · 1×
Citations per year

Countries citing papers authored by Wang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Wang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005237
2 2015135
3 200765
4 201546
5 201341
6 201138
7 200836
8 202233
9 201832
10 202028
11 202320
12 200519
13 200016
14 200315
15 201814
16
Decreased Expression of Tumor-suppressor Gene LKB1 Correlates with Poor Prognosis in Human Gastric Cancer.
201611
17 20078
18 20016
19 20095
20 20214

About Wang Ling

Wang Ling is a scholar working on Molecular Biology, Oncology, Cancer Research, Pediatrics, Perinatology and Child Health and Epidemiology, having authored 32 papers that have together received 830 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Maternal Mental Health During Pregnancy and Postpartum (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Cancer Cells and Metastasis (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Diet, Metabolism, and Disease (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (150 citations), Oncology (244 citations), Immunology (146 citations), Molecular Biology (455 citations) and Immunology and Allergy (24 citations). Wang Ling has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Dianxing Sun, Haijun Li, Fubiao Kang, Dong Li, Mei Han, Bin Liu, Jin‐Kun Wen, Jiong Wu, Svante Bohman and Peetra U. Magnusson. Their work appears in journals such as Hypertension Research, Tumor Biology, Journal of Biological Chemistry, Cancer Biotherapy and Radiopharmaceuticals and Molecular Therapy — Oncolytics.

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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