Yang Wu

2.7k citations
93 papers · 1.9k · h-index 25

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • Angiogenesis and VEGF in Cancer
    • RNA Interference and Gene Delivery

Papers in

Yang Wu

91 papers receiving 1.8k citations

Peers

Yang Wu
Comparison fields: 5 of 107
  • Cancer Research 233
  • Molecular Biology 793
  • Endocrine and Autonomic Systems 73
  • Immunology 220
  • Oncology 220
Replace Małgorzata Burek with:
Małgorzata Burek Germany
Tomo‐o Ishikawa United States
In Hye Lee South Korea
Tomohiko Wakayama Japan
Sridar V. Chittur United States
Susana B. Bravo Spain
Nicola Schiavone Italy
Grażyna Mosieniak Poland
Fei Xiao China
Di Yang China
Yang Wu relative to Małgorzata Burek Germany Małgorzata Burek's profile →
Citations per field
00.5×1.5×2.0×
Małgorzata Burek · 1×
Citations per year

Countries citing papers authored by Yang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200398
2 202177
3 201173
4 201970
5 202170
6 201453
7
Active immunogene therapy of cancer with vaccine on the basis of chicken homologous matrix metalloproteinase-2.
200353
8 201348
9 201845
10 201345
11 201643
12 201843
13 201641
14 201841
15 202039
16 202138
17 201338
18 200436
19 200435
20 200934

About Yang Wu

Yang Wu is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Cognitive Neuroscience, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (12 papers), Angiogenesis and VEGF in Cancer (11 papers), Ocular Surface and Contact Lens (8 papers), Autism Spectrum Disorder Research (6 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroscience of respiration and sleep (4 papers), Cancer Research and Treatments (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (233 citations), Molecular Biology (793 citations), Endocrine and Autonomic Systems (73 citations), Immunology (220 citations) and Oncology (220 citations). Yang Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chun Jiang, Ningren Cui, Weiwei Zhong, Xin Jin, Zuguo Liu, Wei Li, Yan Luo, Shile Huang, Christopher M. Johnson and Yang Li. Their work appears in journals such as Investigative Ophthalmology & Visual Science, The Ocular Surface, Vascular Pharmacology, Human Gene Therapy and Cells.

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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