Yan Hou

4.8k citations
62 papers · 1.8k · h-index 24

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation
    • Ovarian cancer diagnosis and treatment

Papers in

    • Metabolomics and Mass Spectrometry Studies 19
    • RNA modifications and cancer 6
    • Cancer, Lipids, and Metabolism 8
    • Cancer-related molecular mechanisms research 8
    • Cancer, Hypoxia, and Metabolism 5

Yan Hou

59 papers receiving 1.8k citations

Peers

Yan Hou
Comparison fields: 5 of 138
  • Cancer Research 749
  • Reproductive Medicine 201
  • Obstetrics and Gynecology 139
  • Molecular Biology 1.1k
  • Biological Psychiatry 20
Replace Nima Sharifi with:
Nima Sharifi United States
Matt J. Barnett United States
Yingying Li China
Denise Scholtens United States
Aleksandra Gentry‐Maharaj United Kingdom
Suzhan Zhang China
Joan Brunet Spain
Yves‐Jean Bignon France
Danijela Jelovac United States
Dominique Könsgen Germany
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Citations per field
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Nima Sharifi · 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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022133
2 2014106
3 2018104
4 201197
5 201790
6 201787
7 201781
8 201276
9 201774
10 201260
11 201458
12 201155
13 201753
14 202349
15 201843
16 201542
17 201641
18 201440
19 201640
20 201037

About Yan Hou

Yan Hou is a scholar working on Molecular Biology, Cancer Research, Reproductive Medicine, Surgery and Oncology, having authored 62 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (19 papers), Ovarian cancer diagnosis and treatment (13 papers), Cancer, Lipids, and Metabolism (8 papers), Cancer-related molecular mechanisms research (8 papers), Ferroptosis and cancer prognosis (7 papers), RNA modifications and cancer (6 papers), Endometrial and Cervical Cancer Treatments (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Cancer Research (749 citations), Reproductive Medicine (201 citations), Obstetrics and Gynecology (139 citations), Molecular Biology (1.1k citations) and Biological Psychiatry (20 citations). Yan Hou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kang Li, Kai Yang, Mingzhu Yin, Ge Lou, Haiyu Zhang, Chunyan Yang, Chaofu Ke, Hongyu Xie, Xiao‐Hua Zhou and Zhenzi Li. Their work appears in journals such as Oncotarget, Scientific Reports, Journal of Cellular Biochemistry, International Journal of Cancer and Metabolomics.

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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