Jun Hou
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Oncology 20
- Lung Cancer Research Studies 4
- HER2/EGFR in Cancer Research 3
- Cancer Immunotherapy and Biomarkers 3
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- Cancer Genomics and Diagnostics 3
- Co-authors
- Keping Xie (1 shared paper)Sjaak Philipsen (5 shared papers)Frank G. Grosveld (4 shared papers)Wilfred FJ van IJcken (3 shared papers)Christel E. M. Kockx (2 shared papers)Boris Lenhard (2 shared papers)Erikjan Rijkers (2 shared papers)Jeroen Demmers (3 shared papers)
- Journals
- International Journal of Cancer (2 papers)Frontiers in Immunology (2 papers)Nature Genetics (2 papers)Journal of Thoracic Oncology (2 papers)Journal of Hematology & Oncology (1 paper)
- Partner nations
- ChinaNetherlandsHong Kong
In The Last Decade
Jun Hou
61 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 80
- Genetics 314
- Cancer Research 215
- Hematology 111
- Oncology 249
- Molecular Biology 677
Countries citing papers authored by Jun Hou
This map shows the geographic impact of Jun 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 Jun Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Hou more than expected).
Fields of papers citing papers by Jun Hou
This network shows the impact of papers produced by Jun 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 Jun Hou. The network helps show where Jun Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 324 | |
| 2 | 2011 | 218 | |
| 3 | 2021 | 72 | |
| 4 | 1999 | 66 | |
| 5 | 2022 | 62 | |
| 6 | 2012 | 54 | |
| 7 | 2020 | 54 | |
| 8 | 2012 | 41 | |
| 9 | 2011 | 33 | |
| 10 | 2014 | 30 | |
| 11 | 2013 | 26 | |
| 12 | 2016 | 26 | |
| 13 | RNAi screening identifies HAT1 as a potential drug target in esophageal squamous cell carcinoma. | 2014 | 26 |
| 14 | 2022 | 20 | |
| 15 | 2015 | 20 | |
| 16 | 2004 | 20 | |
| 17 | 2018 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2010 | 16 |
About Jun Hou
Jun Hou is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Surgery and Molecular Biology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), Esophageal Cancer Research and Treatment (5 papers), Lung Cancer Research Studies (4 papers), RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Genomics and Diagnostics (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Genetics (314 citations), Cancer Research (215 citations), Hematology (111 citations), Oncology (249 citations) and Molecular Biology (677 citations). Jun Hou has collaborated with scholars based in China, Netherlands and Hong Kong. Frequent co-authors include Keping Xie, Sjaak Philipsen, Frank G. Grosveld, Wilfred FJ van IJcken, Christel E. M. Kockx, Boris Lenhard, Erikjan Rijkers, Jeroen Demmers, Yingyong Hou and Tamie Nakajima. Their work appears in journals such as International Journal of Cancer, Frontiers in Immunology, Nature Genetics, Journal of Thoracic Oncology and Journal of Hematology & Oncology.
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.