Yu Hou
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
-
- Tendon Structure and Treatment
Papers in
-
- Single-cell and spatial transcriptomics 3
- Epigenetics and DNA Methylation 3
- Surgery 7
- Co-authors
- Fuchou Tang (10 shared papers)Lu Wen (5 shared papers)Boqiang Hu (4 shared papers)Ping Zhu (2 shared papers)Xianlong Li (2 shared papers)Yanyi Huang (1 shared paper)Jirun Peng (1 shared paper)Xinglong Wu (1 shared paper)
- Journals
- Cell Research (4 papers)Nature Communications (2 papers)Biochemical and Biophysical Research Communications (2 papers)Analytical Chemistry (2 papers)Science (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yu Hou
30 papers receiving 2.1k citations
Yu Hou's Hit Papers
Peers
Comparison fields: 5 of 125
- Cancer Research 447
- Orthopedics and Sports Medicine 157
- Rheumatology 256
- Molecular Biology 1.1k
- Immunology 244
Countries citing papers authored by Yu Hou
This map shows the geographic impact of Yu 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 Yu Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Hou more than expected).
Fields of papers citing papers by Yu Hou
This network shows the impact of papers produced by Yu 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 Yu Hou. The network helps show where Yu Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas Hit paper breakdown → | 2016 | 467 |
| 2 | Single-cell RNA-seq analysis reveals the progression of human osteoarthritis Hit paper breakdown → | 2018 | 326 |
| 3 | 2018 | 247 | |
| 4 | 2013 | 234 | |
| 5 | 2022 | 103 | |
| 6 | 2020 | 87 | |
| 7 | 2016 | 83 | |
| 8 | 2009 | 76 | |
| 9 | 2016 | 65 | |
| 10 | 2011 | 52 | |
| 11 | 2009 | 49 | |
| 12 | 2009 | 43 | |
| 13 | 2008 | 42 | |
| 14 | 2022 | 40 | |
| 15 | 2018 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2020 | 30 | |
| 18 | 2019 | 19 | |
| 19 | 2020 | 16 | |
| 20 | 2015 | 15 |
About Yu Hou
Yu Hou is a scholar working on Molecular Biology, Surgery, Immunology, Rheumatology and Orthopedics and Sports Medicine, having authored 33 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Single-cell and spatial transcriptomics (3 papers), Epigenetics and DNA Methylation (3 papers), Tendon Structure and Treatment (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), earthquake and tectonic studies (2 papers), IL-33, ST2, and ILC Pathways (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (447 citations), Orthopedics and Sports Medicine (157 citations), Rheumatology (256 citations), Molecular Biology (1.1k citations) and Immunology (244 citations). Yu Hou has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Fuchou Tang, Lu Wen, Boqiang Hu, Ping Zhu, Xianlong Li, Yanyi Huang, Jirun Peng, Xinglong Wu, Chen Cao and Huahu Guo. Their work appears in journals such as Cell Research, Nature Communications, Biochemical and Biophysical Research Communications, Analytical Chemistry and Science.
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.