Yan Hou
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
- Cancer, Hypoxia, and Metabolism
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
Papers in
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- Metabolomics and Mass Spectrometry Studies 17
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- Cancer-related molecular mechanisms research 7
- Cancer, Lipids, and Metabolism 7
- Cancer, Hypoxia, and Metabolism 5
- Co-authors
- Kang Li (33 shared papers)Kai Yang (12 shared papers)Mingzhu Yin (8 shared papers)Haiyu Zhang (7 shared papers)Ge Lou (9 shared papers)Chunyan Yang (10 shared papers)Chaofu Ke (8 shared papers)Hongyu Xie (11 shared papers)
- Journals
- Oncotarget (5 papers)Scientific Reports (4 papers)Metabolomics (3 papers)International Journal of Cancer (3 papers)Molecular BioSystems (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yan Hou
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 133
- Cancer Research 625
- Reproductive Medicine 148
- Obstetrics and Gynecology 120
- Molecular Biology 972
- Biological Psychiatry 18
Countries citing papers authored by Yan Hou
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
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.
All Works
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 144 | |
| 2 | 2014 | 110 | |
| 3 | 2018 | 105 | |
| 4 | 2011 | 103 | |
| 5 | 2017 | 94 | |
| 6 | 2017 | 88 | |
| 7 | 2017 | 83 | |
| 8 | 2012 | 78 | |
| 9 | 2017 | 76 | |
| 10 | 2012 | 61 | |
| 11 | 2014 | 61 | |
| 12 | 2023 | 59 | |
| 13 | 2011 | 58 | |
| 14 | 2017 | 53 | |
| 15 | 2015 | 44 | |
| 16 | 2018 | 43 | |
| 17 | 2014 | 42 | |
| 18 | 2016 | 42 | |
| 19 | 2016 | 41 | |
| 20 | 2010 | 38 |
About Yan Hou
Yan Hou is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Reproductive Medicine, having authored 61 papers that have together received 1.9k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (17 papers), Cancer-related molecular mechanisms research (7 papers), Cancer, Lipids, and Metabolism (7 papers), Ovarian cancer diagnosis and treatment (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), Advanced Proteomics Techniques and Applications (4 papers) and Ferroptosis and cancer prognosis (4 papers). The work is most often cited by research in Cancer Research (625 citations), Reproductive Medicine (148 citations), Obstetrics and Gynecology (120 citations), Molecular Biology (972 citations) and Biological Psychiatry (18 citations). Yan Hou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kang Li, Kai Yang, Mingzhu Yin, Haiyu Zhang, Ge Lou, Chunyan Yang, Chaofu Ke, Hongyu Xie, Kui Deng and Zhenzi Li. Their work appears in journals such as Oncotarget, Scientific Reports, Metabolomics, International Journal of Cancer and Molecular BioSystems.
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.