Yan Hou

1.6k citations
31 papers · 1.1k · h-index 13

Impact in

Papers in

    • Mitochondrial Function and Pathology 5
    • RNA Interference and Gene Delivery 2
    • Alzheimer's disease research and treatments 4

Yan Hou

28 papers receiving 1.1k citations

Peers

Yan Hou
Comparison fields: 5 of 108
  • Biological Psychiatry 52
  • Developmental Neuroscience 83
  • Neurology 122
  • Complementary and alternative medicine 117
  • Physiology 264
Replace Huanmin Luo with:
Huanmin Luo China
Madepalli K. Lakshmana United States
Huey-Jen Tsay Taiwan
Jie Zhao China
Cuiqing Zhu China
Heena Khan India
Yasuko Kitagishi Japan
Wael Mohamed Malaysia
Jing Jia China
Yan Hou relative to Huanmin Luo China Huanmin Luo's profile →
Citations per field
00.5×2.8×
Huanmin Luo · 1×
Citations per year

Countries citing papers authored by Yan Hou

Since Specialization
Citations

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

Fields of papers citing papers by Yan Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010347
2 2009137
3 2009122
4 2022100
5 201281
6 201358
7 202249
8 201334
9 202134
10 200929
11 200821
12 202221
13 202015
14 202212
15 200911
16 20239
17 20189
18 20107
19 20226
20 20225

About Yan Hou

Yan Hou is a scholar working on Molecular Biology, Physiology, Biomaterials, Biomedical Engineering and Neurology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Alzheimer's disease research and treatments (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Nanoplatforms for cancer theranostics (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Biological Psychiatry (52 citations), Developmental Neuroscience (83 citations), Neurology (122 citations), Complementary and alternative medicine (117 citations) and Physiology (264 citations). Yan Hou has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Mark P. Mattson, Aiwu Cheng, Yuan Luo, Zhonggao Gao, Liqing Chen, Mingji Jin, Xin Ouyang, Heping Cheng, Ruiqian Wan and Ikhlas A. Khan. Their work appears in journals such as Journal of Alzheimer s Disease, Cancer Letters, Pharmaceutics, PLoS ONE and Materials Today Bio.

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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