Hao Yang

3.4k citations
88 papers · 2.5k · 1 hit paper · h-index 23

Impact in

Papers in

Hao Yang

79 papers receiving 2.5k citations

Hao Yang's Hit Papers

TGF-β-Mediated Epithelial-Mesenchymal Transition and Cancer Metastasis 2019 · 865 citations
8650+2+4Years since publication250500750

Peers

Hao Yang
Comparison fields: 5 of 129
  • Biological Psychiatry 65
  • Cancer Research 324
  • Behavioral Neuroscience 57
  • Neurology 123
  • Oncology 381
Replace Zhao Zhang with:
Zhao Zhang China
Danyang Chen China
Huang Huang China
Cameron J. Nowell Australia
Jie Luo China
Seonghyang Sohn South Korea
Kieran Wynne Ireland
Dan Liu China
Ji Young Mun South Korea
Ralph Lucius Germany
Hao Yang relative to Zhao Zhang China Zhao Zhang's profile →
Citations per field
00.5×1.5×2.1×
Zhao Zhang · 1×
Citations per year

Countries citing papers authored by Hao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Hao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TGF-β-Mediated Epithelial-Mesenchymal Transition and Cancer Metastasis
Hit paper breakdown →
2019865
2 2018162
3 2016106
4 202292
5 201077
6 201773
7 201067
8 201366
9 202165
10 202149
11 201648
12 202146
13 202246
14
Apatinib suppresses the Proliferation and Apoptosis of Gastric Cancer Cells via the PI3K/Akt Signaling Pathway.
202044
15 201737
16 202234
17 201332
18 202329
19 201927
20 202125

About Hao Yang

Hao Yang is a scholar working on Physiology, Biomedical Engineering, Molecular Biology, Neurology and Plant Science, having authored 88 papers that have together received 2.5k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Alzheimer's disease research and treatments (7 papers), Nanoplatforms for cancer theranostics (7 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Adipose Tissue and Metabolism (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Cancer Research (324 citations), Behavioral Neuroscience (57 citations), Neurology (123 citations) and Oncology (381 citations). Hao Yang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Peter ten Dijke, D.A. Baker, Mei Zheng, Baolong Liu, Shu Pei Wang, Grant A. Mitchell, Daxiang Cui, Jiang Wei Wu, Jing Tang and Xin Liang. Their work appears in journals such as Pharmaceutics, Biosensors and Bioelectronics, Pedobiologia, Experimental Neurology and Neurobiology of Disease.

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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